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Paper Citation Record · LEDGER

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

As of 9 August 2026, this Paper Citation Record lists 95 of 95 outbound references and 100 inbound Pith citation observations for arXiv:2211.01324.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2211.01324 v5

Coverage vector

measured 95 of 95 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T01:44:22.710205Z

measured 195 of 195 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 100 of 128 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:51:12.330646Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-04T13:29:51.539140Z

Reference resolution

95 of 95 outbound references displayed

  • verified exact20
  • verified fuzzy60
  • unresolved3
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch11

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4cfcdc35-95fd-4e6d-9bea-35bfe4e126f3 · outbound

This paper cites Efficient Large Scale Language Modeling with Mixtures of Experts.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Efficient Large Scale Language Modeling with Mixtures of Experts

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.789288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 96e6915f-ccb4-40c1-b904-7c981be28cec · outbound

This paper cites Blended Latent Diffusion.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Blended Latent Diffusion

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:44:22.747418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:84f87ab210db3679af5c040410a9f15bc43fb928dd8822ceb2ca9d12e5003a31

Observation e0248014-4cd4-44b8-a626-6cb267d67067 · outbound

This paper cites Blended diffusion for text-driven editing of natural images.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Blended diffusion for text-driven editing of natural images

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.931947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:1a70c0744ed7cd7fcd5f6e77836ca4cc24f02698ca3360aa07f99357c537e6e2

Observation 06bd2e55-cf1b-4ca1-9c54-d58ef5f55195 · outbound

This paper cites Estimating the optimal covariance with imperfect mean in diffusion probabilistic models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Estimating the optimal covariance with imperfect mean in diffusion probabilistic models

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.934122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:9451e3bee8620914964f954fb7b13f4d368ebcd382872cb7798356701a30f0cb

Observation f7f5fc54-3b53-4f2a-9aa7-c76684be0834 · outbound

This paper cites Analytic- DPM: An analytic estimate of the optimal reverse variance in diffusion probabilistic models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Analytic- DPM: An analytic estimate of the optimal reverse variance in diffusion probabilistic models

Reference 5

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verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.936164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:d2ed7f75ca01e9a671b6dfb5f9fce434507185813ffcf0c8c1a5b4011593dcea

Observation e0a1bb80-58bd-496e-a983-ebe519f29acf · outbound

This paper cites Paint by Word.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Paint by Word

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.751402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:06adc5c4f7e9052f76cadb7aecda70ad9655a77a3454fe30d0ad5f8653677ba9

Observation 16cfe5b7-4b2b-419d-9eea-26467d06b0d1 · outbound

This paper cites Semi-Parametric Neural Image Synthesis.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Semi-Parametric Neural Image Synthesis

Reference 7

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raw_fallback, observed 2026-05-15T01:44:22.940165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:9b5cda4469b9ef72820841d392807a5f5befcf8594b770313435598190051c09

Observation 8bdaa08c-f548-41bf-98ef-1073d0590f2c · outbound

This paper cites Brown, Benjamin Mann, Nick Ryder, Melanie Sub- biah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Brown, Benjamin Mann, Nick Ryder, Melanie Sub- biah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al

Reference 8

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raw_fallback, observed 2026-05-15T01:44:22.942657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:1fb5cea75a9d0d6cfe9b7df54d10c5d122f57a81a21194b13738e4b17cb776a7

Observation 1fbfb04f-8ef9-4145-8dc6-4133e4029d08 · outbound

This paper cites Re-Imagen: Retrieval-Augmented Text-to-Image Generator.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Re-Imagen: Retrieval-Augmented Text-to-Image Generator

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.755533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:4fa201e78abdde450481d3305c1fe8ec72fbdf2c46c0f6bb137a48ce94a11e0a

Observation 0e5fb1cf-e8b8-4fe3-97cd-c5f9b975fece · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers PaLM: Scaling Language Modeling with Pathways

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-15T01:44:22.759067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:349f8bdaa2de09513a81ca0b1466a1604583149c882f739a9c33c98b94c83e1d

Observation f1925581-ac49-4bd2-b550-fc83f3d6f2fd · outbound

This paper cites Improving diffusion models for inverse problems using manifold constraints.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Improving diffusion models for inverse problems using manifold constraints

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.948948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:d29e4a494818fbfe1550301d84afc4e22cbd7d08effbcb1aa85a7f8994568ced

Observation 0101af1d-0f1d-4eb1-947a-81383b86f351 · outbound

This paper cites DiffEdit: Diffusion-based semantic image editing with mask guidance.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers DiffEdit: Diffusion-based semantic image editing with mask guidance

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.763483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:85065e116126290144e9dfa22610c250b5f1b968687ffb7d1c48744426a9b20a

Observation edce3746-14fc-4d51-bb8b-4dc0d25f16f6 · outbound

This paper cites Diffusion models beat GANs on image synthesis.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Diffusion models beat GANs on image synthesis

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.953231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:c84629710b014ccc324b43d6ec4eba2a365a6a26301869489e0cf1cf1bdfd1e6

Observation c5591587-d3e4-409d-befa-6bfc711f906d · outbound

This paper cites Differentially Private Diffusion Models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Differentially Private Diffusion Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.767374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:ad4b676315dbb47d756715c6ea6cdaf1ca1b5a7868ca912d80463432ba043dc5

Observation a8a8fbe6-f931-48b2-bc36-c64d1c399a94 · outbound

This paper cites GENIE: Higher-order denoising diffusion solvers.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers GENIE: Higher-order denoising diffusion solvers

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.957290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:d4ed3a0550880a651c1ad04e11112e1eb0b6398ab8ea7998a0d3cf1e5cd81934

Observation 93284660-d9df-4aca-9a2e-67dfe01522a8 · outbound

This paper cites Score- based generative modeling with critically-damped Langevin diffusion.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Score- based generative modeling with critically-damped Langevin diffusion

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.959390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:05095ead9a0dc9a9e82fb12add277273ef311bd855d27bd040bd8cc1aef44955

Observation ed82296c-576b-4c67-870b-f8a6d783e25f · outbound

This paper cites Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:44:22.771350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:e7b0a250df265c8ea5af65e2a5766aa019447b6accf9c1db7a6acd33282e1659

Observation a2ddae1b-1548-4a2a-a7ed-19dffcb59f0d · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 18

Resolution
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local_arxiv, observed 2026-05-15T01:44:22.774581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:8c0ed48f9a772c675b2f28511e009f2baf8cfb40b6df5c68be7f4a17acf0db75

Observation 6861b754-c203-4aa0-b5e9-1ad46753b053 · outbound

This paper cites Vector quan- tized diffusion model for text-to-image synthesis.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Vector quan- tized diffusion model for text-to-image synthesis

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.965929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:89821bb7fbdc09348984a5f5c7d66b3f76f23c3f19a9fc38d5165266e16bc1aa

Observation bca94485-57b3-4344-acba-318a655fac47 · outbound

This paper cites Flexible Diffusion Modeling of Long Videos.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Flexible Diffusion Modeling of Long Videos

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.778510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:27a98b939410a5e207faf8f5316b965a5353c53e33adf3346e4171811396ddac

Observation af63918c-b025-4525-9679-939864f63423 · outbound

This paper cites Scaling Laws for Autoregressive Generative Modeling.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Scaling Laws for Autoregressive Generative Modeling

Reference 21

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T01:44:22.781916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:b32057bc0223f9ac8576e0e65302d9d2a4785d92c4e890018d10eec110868500

Observation 2ec3655f-cd4d-4a21-b47e-95f71a26e2f8 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-15T01:44:22.785529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:f93f5600d870f36904b8085baa5c5e094269fff2ce8530c0df79716c51e603bf

Observation a502432f-8db1-48ee-b10c-840050cbd313 · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Deep Learning Scaling is Predictable, Empirically

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T01:44:22.742944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:4699aa6db7ef546ce92765a517fb617c819fcbf7d544af80abe2c0e7d3749135

Observation 71502766-3199-4882-8103-17175225866a · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.975987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:df362e448fe4c27ec68562b23541c81a6187bc2ff7dfa52c9226bd14519d914b

Observation d9b86598-1fb0-481b-a3c4-0f796ee15abd · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Imagen Video: High Definition Video Generation with Diffusion Models

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T01:44:22.792960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:795755bb1959c00d3bc5f57f7cd7312c0cf3e1ebbc22a4f48cf6b99bc24c4494

Observation d64444c0-ed2a-4645-a4ff-4794030c2c54 · outbound

This paper cites Denoising diffu- sion probabilistic models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Denoising diffu- sion probabilistic models

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.980712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:4b6f2d64735c0867ee6328ac5c9bd53bf045dcd9c745e087e1bc8127e54b43df

Observation 3af1b140-a25a-4315-9acd-713e288c105f · outbound

This paper cites Fleet, Mohammad Norouzi, and Tim Salimans.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Fleet, Mohammad Norouzi, and Tim Salimans

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.982818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:c553062de4e0d2e13c6bce2e0f21d963750e6d534fd7d3b3cfbdb208f44766e9

Observation ae71d0e1-b9ec-49c3-86fc-74893d87e08d · outbound

This paper cites Classifier-free diffusion guidance.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Classifier-free diffusion guidance

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.984720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:3be0d0cf2755340e28cf9610e229624f15f5ca63414fc40e5ae040119105ad19

Observation 713da928-6dbb-47d5-8dca-273214ee4d5c · outbound

This paper cites an unresolved cited work.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Unresolved cited work

Reference 29

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unresolved
raw_fallback, observed 2026-05-15T01:44:22.986794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:d2ef5d325d9b7a956e0af8c06a9b4b1e916b75b90fa27dd6b8c3184374b37280

Observation c253ac07-5e7e-47a2-a41b-7d25d9798e75 · outbound

This paper cites Multimodal conditional image synthesis with product- of-experts GANs.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Multimodal conditional image synthesis with product- of-experts GANs

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.988830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:e35dab3c50caa0548512acebaba1f43bd67265d7a9ca642c25ba6006e743abd1

Observation 65ed0c4a-39fc-4f44-bd70-749d758c9f33 · outbound

This paper cites Estimation of non-normalized statistical models by score matching.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Estimation of non-normalized statistical models by score matching

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.990901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:9b982232aed728f24aa6b9865c37f21d4f0aa281e5fd741049f496762f533bc2

Observation 6d670588-9885-41c2-beff-358cba4d52d2 · outbound

This paper cites an unresolved cited work.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-05-15T01:44:22.851104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:d29ed759c72bf2fbd5619701577237f19991a42ef2ae2978364eeac93356c129

Observation 28e1549b-7fed-42fa-b805-5a3deb7c4026 · outbound

This paper cites Scaling Laws for Neural Language Models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Scaling Laws for Neural Language Models

Reference 33

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T01:44:22.796173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:8dc72eb584f49103e8904c8ae132a025067107d8cc5a983845427ea38fc15262

Observation b5717a46-70ef-43cc-ba4f-64b259d99028 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Elucidating the design space of diffusion-based generative models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.856375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:1bf53bf1aa0b851eeb44ba0a9bf98511dfb2f9d34e08c6319130cea25e140a93

Observation 4765c859-fb2b-4e91-8b19-81102673512d · outbound

This paper cites Denoising diffusion restoration models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Denoising diffusion restoration models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.858761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:4908af63f50b3472dbc7febb562b0df39c8f3587a896d39d5bc623cda55b8fb9

Observation 28b32dd2-6a5f-442e-bb3f-9220ae29e3a0 · outbound

This paper cites JPEG artifact correction using denoising diffusion restoration models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers JPEG artifact correction using denoising diffusion restoration models

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.860934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:1449b21fad9d201dfb3a0830c56541598e74221000cf81a35e907470ee60c6f9

Observation d2d4e7b0-3766-4fc1-935a-855a3ccd338b · outbound

This paper cites Imagic: Text-Based Real Image Editing with Diffusion Models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Imagic: Text-Based Real Image Editing with Diffusion Models

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:44:22.800076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:498157b7a7be0bbd51bff09faccfaf17ab4a5ec806821fafcf6a90be8189206e

Observation 911cff8d-3a9b-47b8-8d48-09344cc9fea7 · outbound

This paper cites Scaling Laws For Deep Learning Based Image Reconstruction.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Scaling Laws For Deep Learning Based Image Reconstruction

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.803125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:0a5213a3f4a870280c3e0d667cd6db38d5843cb4f3655f05068f8eb35f5a771c

Observation de748b40-0c38-46f7-8f42-2da104786a49 · outbound

This paper cites DiffWave: A versatile diffusion model for audio synthesis.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers DiffWave: A versatile diffusion model for audio synthesis

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.867629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:de091c4b513854494ade5b7a9d84fd49637ec5598c4682a0d0b825858ae71f6d

Observation b919c1cb-ac17-44a0-bd97-5286d6136579 · outbound

This paper cites Shamma, Michael Bernstein, and Li Fei-Fei.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Shamma, Michael Bernstein, and Li Fei-Fei

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.869730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:f779fd78f627ca2a78770c4291782d6720431c5fe53b83a9fccadae6e3f3dc10

Observation bf2ecf67-d2a1-4b1e-896f-a3302efc7553 · outbound

This paper cites Diffusion-LM Improves Controllable Text Generation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Diffusion-LM Improves Controllable Text Generation

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.806438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:a9d17164b40a21066ce4918f2caa98004d47868fe8e39302e406c68509cb7323

Observation 140d7666-2750-46fc-86f4-92068cca4887 · outbound

This paper cites Lawrence Zitnick.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Lawrence Zitnick

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.873930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:08b1c80cdf252b6d0e57ffebfc42cd13945ba14c4314b771f849637228c92d05

Observation 20c0cd8c-9101-4ad6-8b55-9922cd475ff0 · outbound

This paper cites Pseudo numerical methods for diffusion models on manifolds.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Pseudo numerical methods for diffusion models on manifolds

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.875987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:727e8812a599ab5a0b6c0ab2f763e1ad4f88b8740a51ad162a7c67b1c636f22f

Observation 3db6695a-cfa9-4c01-9fb9-14606c2bf699 · outbound

This paper cites Imaginaire.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Imaginaire

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.878209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:7c3ec3426b576e93334744f4b2b5750e73b79ff21a55759a57e30298536db79b

Observation c536e42b-c314-4bcb-9d62-0abf470bdcfb · outbound

This paper cites Decoupled weight decay regularization.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Decoupled weight decay regularization

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.880236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:2967a794eb49d4ae0e7bc81a47ea642206ebc17e2833a0778ef7187a2fca7536

Observation c5e52d17-b3fc-49f9-a9dd-d0aa8d788082 · outbound

This paper cites DPM-Solver: A fast ODE solver for diffu- sion probabilistic model sampling in around 10 steps.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers DPM-Solver: A fast ODE solver for diffu- sion probabilistic model sampling in around 10 steps

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.882527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:99f6e082fad2abbdeedd8dfbd9bb6f085c5093259cefbcbe2693d560c436c20c

Observation 07bcd33a-7e69-4128-b9aa-8c573645c0a6 · outbound

This paper cites RePaint: Inpainting us- ing denoising diffusion probabilistic models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers RePaint: Inpainting us- ing denoising diffusion probabilistic models

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.886236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:6065c3e05e67c348faf415820cd2c05cc32b87c104125ea441e460f9cbef46c6

Observation 092e0232-8153-49ee-a80d-27467c6deec2 · outbound

This paper cites Improving Diffusion Model Efficiency Through Patching.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Improving Diffusion Model Efficiency Through Patching

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.809834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:102c8a985fde0ee4ccab86281ce840416f8368a0810d4634e1f5f97b0cdb4abb

Observation 9b4edcb0-a35a-43e6-97c3-679614052a53 · outbound

This paper cites Diffusion probabilistic models for 3D point cloud generation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Diffusion probabilistic models for 3D point cloud generation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.893209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:32cf2499c7af24b0cc2de4ce54676020166c63379a44afafdc1831ec821a2fa6

Observation b810f07a-55e1-4600-b264-171769075615 · outbound

This paper cites SDEdit: Guided image synthesis and editing with stochastic differential equations.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers SDEdit: Guided image synthesis and editing with stochastic differential equations

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.895304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:f3f8a3e6a0acac8b2ff8015eff3a8ae4de0dc038852efd0ea99a430209a94a54

Observation 4dece804-9451-4355-8db1-8aad6f4fadfd · outbound

This paper cites GLIDE: Towards photorealistic image genera- tion and editing with text-guided diffusion models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers GLIDE: Towards photorealistic image genera- tion and editing with text-guided diffusion models

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.897380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:a48cc72ae25632ed0cb6bd12f57000ce10d3704fb9530978e29c7c9ffb66f857

Observation b9eb3469-1eda-44f3-be24-b6e31fc808be · outbound

This paper cites Diffusion models for adver- sarial purification.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Diffusion models for adver- sarial purification

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.899438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:cf0c3fe849c4df0c8c35aaa7bc8589fd6af179845bae56a9640df0509401a531

Observation 7a69962c-9d00-4c5c-8830-4dab6b02704b · outbound

This paper cites Semantic image synthesis with spatially-adaptive nor- malization.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Semantic image synthesis with spatially-adaptive nor- malization

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.901581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:b321a525146c5af1d05dda1b8ac0f29768ca120df165f8e5df9dbeeb6395ce02

Observation 8de4a19a-e6cf-4de6-9b97-affc0806e97a · outbound

This paper cites PyTorch: An imperative style, high-performance deep learning library.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers PyTorch: An imperative style, high-performance deep learning library

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.903719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:f0eb459aced67859314f24fb32456a4bf086ff1e224d8b33d8e412eae8f83307

Observation a17cc095-0636-4915-92f0-8c0f1c28bc32 · outbound

This paper cites Learning transferable visual models from natural language supervision.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Learning transferable visual models from natural language supervision

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.906261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:eadd75653d9e7fc58c701e37f87baf90e7bafb73050d9aeea69766497e070b1b

Observation 7314203c-2ae9-4cad-8d59-5f4c79b270c0 · outbound

This paper cites an unresolved cited work.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-05-15T01:44:22.908447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:9dc31e321b1aeaa2521b5c0b4362cd865cdd619920b709b6a96c6ff9b447ceec

Observation 5589e3b5-5838-437e-90fa-b3572cec858f · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-05-15T01:44:22.812845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:51aeaef7dec638d20abd46f4343d455c1859eceda9b6ce2d58f058c18700c5ed

Observation 2aaaa9a8-e06d-413d-b42b-cc2d7159bcdc · outbound

This paper cites an unresolved cited work.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Unresolved cited work

Reference 58

Resolution
parse uncertain
raw_fallback, observed 2026-05-15T01:44:22.912758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:b9ab817ad316c1ad7bb543745511baa985d76618340fb02ccc50f3e76d5c6ad1

Observation e230708c-e033-4455-b4aa-9f5433c60bfa · outbound

This paper cites Scaling vision with sparse mixture of experts.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Scaling vision with sparse mixture of experts

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.914806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:6b5b578c1217c47f9f2624ada8cda6b9054200a5dce248f5d59034158ea572df

Observation 7803db55-2f72-4eca-9782-be577ac641ae · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers High-resolution image synthesis with latent diffusion models

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.917350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:50677edc522601ffe409fd4031c59ef97feba189f27aa9c5e7b3a080fcbb769f

Observation 920c1d2d-78cb-4276-875b-5d5a1fc2ac90 · outbound

This paper cites Stable diffusion v1-4.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Stable diffusion v1-4

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.919372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:5980ce9b93f537483a3a759805ead282e594074a8b226887afbfd16e26255b5f

Observation c6899938-8966-40d4-87cb-2d95bea1aae7 · outbound

This paper cites DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.816531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:5b177583149d82ec0c8ecbaa6b331a17424ee154fda93043b9899a023d3ae749

Observation 3af4c88a-4fd2-4506-9cbd-e30ea375f701 · outbound

This paper cites Lee, Jonathan Ho, Tim Salimans, David J.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Lee, Jonathan Ho, Tim Salimans, David J

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.923323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:960880117d8a450f6989968873f2168949971bd2e754ff847725e7352e5e7f64

Observation df3b422a-a206-4ab5-9d3d-79c9aa46e8cd · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 64

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T01:44:22.819391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:a98719f1cc1e92a29d9b4e9020f494ffe33a35cce3a190018d631694cce9439a

Observation 415e1820-afc6-429e-a54b-98e00fffdf7b · outbound

This paper cites Fleet, and Mohammad Norouzi.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Fleet, and Mohammad Norouzi

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.927667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:bbd12cc45da07ed38d869ec61a2c5e9eb491eaa20641e3de96de5c6fac5fa958

Observation 198eaf8a-95d8-4731-9c4b-7bb03b700caa · outbound

This paper cites Outra- geously large neural networks: The sparsely-gated mixture- of-experts layer.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Outra- geously large neural networks: The sparsely-gated mixture- of-experts layer

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.929930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:a4fc9feb1135dea3a544b6d9ec7317fdc5228a0edb065a48136eb089056ca362

Observation 0d66d0f9-f879-4097-9484-b421c240e8b2 · outbound

This paper cites KNN-Diffusion: Image Generation via Large-Scale Retrieval.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers KNN-Diffusion: Image Generation via Large-Scale Retrieval

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.822983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:1ae033071d0fe8977803268882f4c9bcaf1cd9a67b929b65994a4b0570ad806f

Observation e39b488c-eccd-456b-8281-6d00da678cfc · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-05-15T01:44:22.825951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:24be2df6a8899b1e968716a2bc4c0c318159d7e9411347c584f9a3a9824032a7

Observation 452e0530-c550-47c2-9f97-19943689359b · outbound

This paper cites D2C: Diffusion-decoding models for few-shot condi- tional generation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers D2C: Diffusion-decoding models for few-shot condi- tional generation

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.946765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:92c7f5a2b55ecbcca50f582d02459acc3be7d9ab7e90031ce19b3233bc0038b0

Observation 3f9f7ccf-ec3a-4240-b9c6-efbd9771ad43 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Deep unsupervised learning using nonequilibrium thermodynamics

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.950918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:ec30aee34ec721a8a51228fc93f9fc9563d1c8be4af46aaf2e79c6575534164f

Observation 8c80d55c-82f8-4570-865b-fc9202b48725 · outbound

This paper cites Denoising diffusion implicit models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Denoising diffusion implicit models

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.955195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:c8715ffda2787bd133de19809275eee62d08893f0eb7b3473f7253a33c96c5ca

Observation 8d08cc49-f07d-4211-92f5-374f0e6c9309 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Generative modeling by estimating gradients of the data distribution

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.961417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:2c13ce928400214bd690b62000061bf75bbc674bda83e7c04651191482a18455

Observation 6b1c8780-4eba-458e-b86a-16f2eeca1bee · outbound

This paper cites Improved techniques for training score-based generative models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Improved techniques for training score-based generative models

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.963488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:e6e6fc39b5a6629ae7e46d48fcf7ed0e9c3ca5d57b4912282ebf2fc74bac418a

Observation 88f112d1-d38d-43fb-8d7f-f0bc2c1fa45c · outbound

This paper cites Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.968048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:17345e667a7d725d94dc9144ab6aebea733896a7d6b8f26f1fddec3c15439324

Observation 5277d88d-ccdf-4e1e-826d-b7a2dd0d7a7c · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Dropout: a simple way to prevent neural networks from overfitting

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.970049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:5d8adca2e240829f981d0caa4083e4b6bae71a1891695f728590451517d2461f

Observation 7d90f67b-ba2b-44ce-a3c6-681d7f4cc254 · outbound

This paper cites The bitter lesson.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers The bitter lesson

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.971860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:3534d246c7b7016ca074d2e4ac4fc5df5dffecf9f45cce96cad98f540e44ac7c

Observation 5baae6ff-d428-4d40-8006-e86ca58acf5b · outbound

This paper cites CSDI: Conditional score-based diffusion models for probabilistic time series imputation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers CSDI: Conditional score-based diffusion models for probabilistic time series imputation

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.973881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:56776cfbc643d1d2d6ecfadbc30d138c444b72eb862f7b22548539861d108f0d

Observation 342e8cff-4947-4942-a56d-729c3d89e244 · outbound

This paper cites Score-based generative modeling in latent space.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Score-based generative modeling in latent space

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.978808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:c7e65f9bd03babc0689ef278fef2c64664a71d33cbe329ed122c1c84e87d84e4

Observation a9f7fd8d-4c68-4c9e-b5e3-2e04744c01c3 · outbound

This paper cites UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image

Reference 79

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:44:22.829358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:c8877c48e9f59ea178206d8d13a3127a7ac14a7fd5cb1cf1a300464fd2063749

Observation 9e3f2a95-7845-4716-b4ff-1c05bc9a62a1 · outbound

This paper cites A connection between score matching and denoising autoencoders.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers A connection between score matching and denoising autoencoders

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.863126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:91535deaf6d323f79aab4052e54aa282d2ad0fa4ecf92b5e105a53d04345fc47

Observation 3760e796-4e4b-47ef-a88c-cce6884e56c7 · outbound

This paper cites Pretraining is All You Need for Image-to-Image Translation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Pretraining is All You Need for Image-to-Image Translation

Reference 81

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:44:22.832639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:f6bfff84630cffa13335513a9896546fc70ac830e9ed3810e11e38054473d465

Observation 62778f05-d04d-49d9-8078-489c41f981c6 · outbound

This paper cites Real-ESRGAN: Training real-world blind super-resolution with pure synthetic data.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Real-ESRGAN: Training real-world blind super-resolution with pure synthetic data

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.871898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:0f1b227b7f1b046ae4da99da63617e80640e9f9abca10afab8a7ae42e7bb4907

Observation 152cf2b8-490d-4b6f-b162-0d69e2541fb8 · outbound

This paper cites Dimakis, and Peyman Milanfar.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Dimakis, and Peyman Milanfar

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.890857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:13e2b134f13ae84e821666d59244d713e4a071c89db3ea5d7e79139213f19813

Observation 8cd0fa83-a0e7-493a-9b65-7d4d8154aac7 · outbound

This paper cites Protein structure generation via folding diffusion.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Protein structure generation via folding diffusion

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.835657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:7791ddb5cd88e6dc12d2849e9af1932932a8fe5559dfd310aaed7a1a87ae943a

Observation 72a64218-e1bb-4176-99ec-85882330f20e · outbound

This paper cites GeoDiff: A geometric diffusion model for molecular conformation generation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers GeoDiff: A geometric diffusion model for molecular conformation generation

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.921449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:7e7cabcca4b21d7b551bf999c511db80802d8f21a7f82abbd04601ecbb15aa66

Observation c891f352-0d3b-46b8-ab75-16738006d8c0 · outbound

This paper cites Diffusion Probabilistic Modeling for Video Generation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Diffusion Probabilistic Modeling for Video Generation

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.838999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:9f7cc791f46c833e285d263c514c80c13bb6de4ca76c6ccc84445cd5a5411685

Observation 6dd858a3-a606-40fd-bb39-a89b27ce06c4 · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 87

Resolution
verified exact
local_arxiv, observed 2026-05-15T01:44:22.842165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:a91515ddd339cec5dfa79576ba56522dfb4ceed7976954aed346f7bd866563b4

Observation 4d2f3bcf-a6aa-4f43-8c10-8f0b797880f0 · outbound

This paper cites LION: Latent point diffusion models for 3D shape generation.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers LION: Latent point diffusion models for 3D shape generation

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.944745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:e9022c7deaa3f6ed0f7323e7db954d4e7fd93a81d68725ac2788e7a695d795bb

Observation 1e7ef7f6-62a5-44a4-b540-44648fa5e924 · outbound

This paper cites Scaling vision transformers.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Scaling vision transformers

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.853588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:9a82980f1ee3ffa84ea74f47c836b1d7123cfb451fc683b48b703e2d2c93cb4b

Observation 031fa74a-c696-4365-b464-b82d94f367cc · outbound

This paper cites Fast Sampling of Diffusion Models with Exponential Integrator.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Fast Sampling of Diffusion Models with Exponential Integrator

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.845483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:b7d8bd853525e45f93cac043cb1ebd7bc395e70a54fe92e0fa656cd337df4d95

Observation 3e4bdd47-d64f-4f38-9cce-a3a1f5593f5d · outbound

This paper cites gDDIM: Generalized denoising diffusion implicit models.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers gDDIM: Generalized denoising diffusion implicit models

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.848754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:e17cdf14a76824792c247b7d6056345cd48faa13bd7cc8b290e9cda342686f20

Observation 971c0b62-e323-4609-96c2-58b4c73c26b3 · outbound

This paper cites 3D shape generation and completion through point-voxel diffusion.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers 3D shape generation and completion through point-voxel diffusion

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.925422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:ad749e78330b617717e363a24e1c74735746fd36c916fcdffb0a8fe30fb1e777

Observation afb422b1-8ad7-47cc-906f-8cc360ff0a23 · outbound

This paper cites Network Architecture For our diffusion models, we modify the U-net archi- tecture proposed in Dhariwal et al.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Network Architecture For our diffusion models, we modify the U-net archi- tecture proposed in Dhariwal et al

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.938163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:88832c783dddddd7a38f4d559876dae368893776168088ad2c760737647e3a78

Observation 12ca0ddc-b2df-431a-b2f4-aefd58adc67e · outbound

This paper cites Different from Saharia et al.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers Different from Saharia et al

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.865436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:33a8dd14a8b5b598c833b88dc95ce4dbf97609757df633d8d88a6e2e06c80e48

Observation 2c0690b6-8a86-410b-bf9c-37c5d8a1c66d · outbound

This paper cites [13], we add a cross- attention block to perform cross-attention between im- age embeddings and the conditioning embeddings.

eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers [13], we add a cross- attention block to perform cross-attention between im- age embeddings and the conditioning embeddings

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T01:44:22.910752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:44:22.710205Z digest=sha256:97c7b2d60b50376327152478a1c3cecc54a13374897fa18441ad57db23bf09ac

Pith citing papers

Observation bdf8ed78-c207-4125-b799-4913d7b2971e · inbound

NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting) cites this paper.

NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting) eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 140

Resolution
verified exact
local_arxiv, observed 2026-05-24T10:34:20.533027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T10:32:20.149563Z digest=sha256:86de22359a865f7eed0133fa56cf5d59f789d4c53bf369bfae20efb744ddf277

Observation 2764842a-2273-44a9-80a9-3c14c9dfee30 · inbound

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models cites this paper.

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-16T22:47:50.400569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T22:47:50.355642Z digest=sha256:32d1a66dcc588391b49beee1e332a5c363910520d0d072aae49403832dcbbc76

Observation 20dce26c-f6c9-4f23-8086-572b291a80c0 · inbound

Consistency Models cites this paper.

Consistency Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T15:47:28.598205Z digest=sha256:89c5b0d1ba7d4a0909c77dd7900fae9a6d0bc7ae035a66bce19e03c350c72ea8

Observation 3fc65082-e7f3-42ae-8dae-fba640ed343a · inbound

DiFaReli++: Diffusion Face Relighting with Consistent Cast Shadows cites this paper.

DiFaReli++: Diffusion Face Relighting with Consistent Cast Shadows eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-24T08:44:14.130740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T08:42:04.321790Z digest=sha256:f7873ddf4f95f4e81cbf7cceb0623c993e567da65af19674f2e929c65bf05b60

Observation c123aba8-de3e-4800-b6e4-48d92a7cca4e · inbound

Prompt Evolution for Generative AI: A Classifier-Guided Approach cites this paper.

Prompt Evolution for Generative AI: A Classifier-Guided Approach eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-24T09:04:15.173018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T08:59:24.602556Z digest=sha256:2892c87a6bd3ee468129448071ece7110d99f83068d0b7a6a9dd728a9f566546

Observation 45d634d4-d80b-498f-be33-6f59c564e938 · inbound

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis cites this paper.

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:22:03.530707Z digest=sha256:3629edec1fec6eafaed4a18c93453f0aa89fbe39d4109e83b7f2de2f1301915e

Observation 02f79f4c-cc6b-430c-acd4-66152a56093b · inbound

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning cites this paper.

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T22:52:19.359362Z digest=sha256:f50e58385be1397c0c5c474fe42dd622d6a8495971cfb9c2e9f10640b3bddf48

Observation 3d88d694-61b1-4990-846b-f4df7c2c3259 · inbound

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models cites this paper.

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 5

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verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T23:57:08.818348Z digest=sha256:fe3f2e5d6f75950e2e037b02478591b7c23e5075be50ac1ce4ee45cd512b3873

Observation 4bd54afd-6a5e-42ae-aca7-603047463c40 · inbound

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory cites this paper.

DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 78

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T13:03:58.065481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T13:03:57.828598Z digest=sha256:578e7e4771a80ff044a9431af3834f48ba0f3f23f8d45848aa40fb4f9ac75814

Observation 2c046cec-5907-4c81-a0cb-35e556cc4837 · inbound

MVDream: Multi-view Diffusion for 3D Generation cites this paper.

MVDream: Multi-view Diffusion for 3D Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 164

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T08:36:19.573457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T08:36:19.457852Z digest=sha256:fe41bd0fd570f2e0422f0800fc1e76ce20f7225adbd95c013c31032e5180e835

Observation 7b95c5a5-74d7-4fdc-87d7-0c0ce455427f · inbound

Learning Interactive Real-World Simulators cites this paper.

Learning Interactive Real-World Simulators eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 90

Resolution
metadata mismatch
local_arxiv, observed 2026-05-16T02:15:18.693262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T02:15:18.265190Z digest=sha256:7f73d79ee6c8353e45ac2da5942b4f127155565ea90d5819f669d69a890f8b06

Observation 17968458-04fe-42e0-841b-a467d0eca150 · inbound

VideoCrafter1: Open Diffusion Models for High-Quality Video Generation cites this paper.

VideoCrafter1: Open Diffusion Models for High-Quality Video Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T21:40:43.956642Z digest=sha256:b11a43a9bd6e038cab30f1d84f9c52ea0655006d7b1072943f4a62453a20e842

Observation 26554b5a-2043-41e6-b1da-e0724043cbdb · inbound

InstantID: Zero-shot Identity-Preserving Generation in Seconds cites this paper.

InstantID: Zero-shot Identity-Preserving Generation in Seconds eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-17T21:02:41.489773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T21:02:41.399183Z digest=sha256:9282318bfa499c3be15a57ae255b5bb54be005a7366e931dfab12a3ef7e0e155

Observation 75f5d5b0-74f9-424b-ad9f-ae273871f9b9 · inbound

BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion cites this paper.

BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-24T04:36:00.736190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T04:35:57.539388Z digest=sha256:e8d574e730d2d89c887f5f63d2efa3f67def7dd6c8bcd07a2aafaf4d595adbb9

Observation 7b202ce5-b983-44a9-9df1-3edd10b1e140 · inbound

ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment cites this paper.

ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T19:43:03.310237Z digest=sha256:55d56757c66c257f0179e9dcd3ec5d0bc9208b3ef21f621e9eda99277c98a67b

Observation 78ab5429-a823-4fa5-9e63-173aee7337f1 · inbound

CameraCtrl: Enabling Camera Control for Text-to-Video Generation cites this paper.

CameraCtrl: Enabling Camera Control for Text-to-Video Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T02:06:23.410241Z digest=sha256:82a92fb0dc477cc6222edf60904a845d69f7c77dcbecea448fac771a716c6441

Observation 40c7ac0e-f72c-4415-a366-1a4b84bb0193 · inbound

Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding cites this paper.

Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-16T14:58:37.412582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T14:58:37.383749Z digest=sha256:545dc96833226672976d81dd033f54ae11d4a4f3df59df98014194320307256d

Observation 94225b43-da3c-44b2-9511-53771f76c96d · inbound

TextBoost: Boosting Text Encoder for Personalized Text-to-Image Generation cites this paper.

TextBoost: Boosting Text Encoder for Personalized Text-to-Image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-23T20:53:26.539359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-23T20:50:21.184443Z digest=sha256:f15451914a8e7cca98d46b764325ece4eeca3bd7fe0a65ff49a15d8570929b30

Observation 47b5e893-0e2b-4a04-895e-7b7f32a9ba64 · inbound

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers cites this paper.

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T00:56:50.009149Z digest=sha256:528f9616e61a9c631c8cafc240f6cc2b056c62d2cf9c9d117416e4fb9ee79b96

Observation 758571fd-a831-4955-8a9d-c18f47ea0350 · inbound

Movie Gen: A Cast of Media Foundation Models cites this paper.

Movie Gen: A Cast of Media Foundation Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T14:16:18.521699Z digest=sha256:6db0934eb1778e5c99dc6295186c5a950749f957ae0fc8ae836d73311666718e

Observation cf7f9cde-43d7-4a40-921f-1846801b588a · inbound

Cosmos World Foundation Model Platform for Physical AI cites this paper.

Cosmos World Foundation Model Platform for Physical AI eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T23:38:44.933410Z digest=sha256:f9dbc1e25245f0586afd9ef59ddd7c639273213eac4b4cce87129e39f9494abe

Observation 545203ea-5b61-4c9c-bb9d-7c1da1fc867e · inbound

Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation cites this paper.

Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2020

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unresolved
no resolver link, observed 2026-08-09T18:51:12.330646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:51:12.330646Z digest=sha256:4e0674102fe010babf034b3c93d8fc53905f3bfa59efd9bc353619393380a605

Observation 25f25f0e-8ac1-44d4-949e-6aa22a1d3f8c · inbound

Watermarking across Modalities for Content Tracing and Generative AI cites this paper.

Watermarking across Modalities for Content Tracing and Generative AI eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2022

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unresolved
no resolver link, observed 2026-08-09T11:46:23.056519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:46:23.056519Z digest=sha256:dce4100b531ed434c2cf58acd7dff59a1322293912935b884b1083131ad6fb34

Observation 46a425fe-bd6d-4204-85d3-73730dcf5979 · inbound

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene cites this paper.

Transfer Your Perspective: Controllable 3D Generation from Any Viewpoint in a Driving Scene eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

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unresolved
no resolver link, observed 2026-08-08T14:45:08.350537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:45:08.350537Z digest=sha256:14e29fc8798090c867e83f911cda1669710bb902c83be85a21384fb709f7c0f7

Observation 56416b48-ca4d-43bd-a8b9-5242bb02e118 · inbound

Articulate That Object Part (ATOP): 3D Part Articulation via Text and Motion Personalization cites this paper.

Articulate That Object Part (ATOP): 3D Part Articulation via Text and Motion Personalization eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

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unresolved
no resolver link, observed 2026-08-08T13:21:50.430646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:21:50.430646Z digest=sha256:b6ee682218d4904ef57393195d9380640f7fbcc2cf5a75d552cadc5625030473

Observation 7f592f08-e036-4c8c-8ea0-6c6b1f05c71c · inbound

PromptArtisan: Multi-instruction Image Editing in Single Pass with Complete Attention Control cites this paper.

PromptArtisan: Multi-instruction Image Editing in Single Pass with Complete Attention Control eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 26

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unresolved
no resolver link, observed 2026-08-07T18:49:30.595132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:49:30.595132Z digest=sha256:2ea0e01f359bebfcbb3585558752609f36ab009eef74c7e1856b4b6d340b6e63

Observation 0f7ea959-4290-480d-9d5c-248382f79c16 · inbound

Jodi: Unification of Visual Generation and Understanding via Joint Modeling cites this paper.

Jodi: Unification of Visual Generation and Understanding via Joint Modeling eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T14:25:20.356553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:20.356553Z digest=sha256:4f4c9d55b4b981d1b1bbec9cb3b3a5dc670afcf429bafe0e658a66f240c8c0e1

Observation a48c735c-3dd2-44fd-be3d-f629a778b2be · inbound

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models cites this paper.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 21

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unresolved
no resolver link, observed 2026-08-07T13:42:35.515561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:42:35.515561Z digest=sha256:8fb192bb2d7224b5805701528c72232e6b7089e5a9910371d9dc04124b684c1b

Observation cfaec9be-ac44-4d80-b2ff-1bec1a79e8d8 · inbound

Identity-Preserving Text-to-Image Generation via Dual-Level Feature Decoupling and Expert-Guided Fusion cites this paper.

Identity-Preserving Text-to-Image Generation via Dual-Level Feature Decoupling and Expert-Guided Fusion eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

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unresolved
no resolver link, observed 2026-08-07T13:14:45.731108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:14:45.731108Z digest=sha256:6041f921fd66786c3c49c459ed59e63e691def0a6e5323f0080b344636e30377

Observation 69c35e9d-17ed-4476-8658-0d53c2b9043c · inbound

UrbanCraft: Urban View Extrapolation via Hierarchical Sem-Geometric Priors cites this paper.

UrbanCraft: Urban View Extrapolation via Hierarchical Sem-Geometric Priors eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 53

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unresolved
no resolver link, observed 2026-08-07T12:49:23.258264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:49:23.258264Z digest=sha256:4bfaade78eadc7b62d692bd8709de762f034c8518e9e02bde9c5fe2b2bfaf419

Observation 98f66a24-4a99-4702-b379-d7a5dff555e7 · inbound

Native-Resolution Image Synthesis cites this paper.

Native-Resolution Image Synthesis eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 5

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unresolved
no resolver link, observed 2026-08-07T11:15:21.483651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:21.483651Z digest=sha256:0620923fc16d383e704946d50aa7fe1162bcaf27828d2881f2adaf33415c5c63

Observation 072f38b0-8994-4b35-9dbb-c8f93bfb91ad · inbound

Seamless and Efficient Interactions within a Mixed-Dimensional Information Space cites this paper.

Seamless and Efficient Interactions within a Mixed-Dimensional Information Space eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 60

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unresolved
no resolver link, observed 2026-08-07T10:45:30.269887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:45:30.269887Z digest=sha256:2acd5c8dbd56d9db6922f2d93e76e753ff592098c743fe7efa6cc938d899060d

Observation 12eee950-c05b-49ec-846a-471dd2090737 · inbound

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis cites this paper.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

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unresolved
no resolver link, observed 2026-08-07T06:02:59.493679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.493679Z digest=sha256:e191d3c17359111dc19397d7eeda044461ee2709fca7a335d0aadf282dacd3db

Observation 66448d8b-09d7-4164-b986-eaa1344cea25 · inbound

LaTtE-Flow: Layerwise Timestep-Expert Flow-based Transformer cites this paper.

LaTtE-Flow: Layerwise Timestep-Expert Flow-based Transformer eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

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unresolved
no resolver link, observed 2026-08-07T05:51:42.823441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:51:42.823441Z digest=sha256:577822a228db3e179ecf288a4e369eb6be196bb572f2ee745adb11c7ce0b4820

Observation aa460d2e-26ff-4f00-8a19-b5c09a34d2db · inbound

A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation cites this paper.

A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

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unresolved
no resolver link, observed 2026-08-07T05:20:50.982334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:20:50.982334Z digest=sha256:995ab30468dc85e1e635cb7c3246ae4ea094df9501898c1f42518acde95bc6cc

Observation 111bc253-d5c9-41d7-9272-575b3dd794ce · inbound

Diff-TONE: Timestep Optimization for iNstrument Editing in Text-to-Music Diffusion Models cites this paper.

Diff-TONE: Timestep Optimization for iNstrument Editing in Text-to-Music Diffusion Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

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unresolved
no resolver link, observed 2026-08-06T23:58:30.815789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:58:30.815789Z digest=sha256:86bb4d112b88637b789036726b469e7080c842e35fc965b78d48d2a3f14fbb91

Observation b29b55f1-1eae-4431-8287-c32b58950ab5 · inbound

How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions cites this paper.

How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

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unresolved
no resolver link, observed 2026-08-06T23:42:39.205574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:42:39.205574Z digest=sha256:746d70c93576dffc45787fb00d9ea6e4c9e8e67f5d5f5eae40ff952806d46ede

Observation 15472cfd-bef3-4be7-88a9-d01fda915b1e · inbound

Automated Image Recognition Framework cites this paper.

Automated Image Recognition Framework eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

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unresolved
no resolver link, observed 2026-08-06T23:11:08.054870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:11:08.054870Z digest=sha256:d07b80d4ca3b6ce502ba88489462fd29ab5bf0254984913bdba8f8305292cfe3

Observation eb7ac436-19c2-499c-b12a-d029958e457e · inbound

Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networks cites this paper.

Pay Less Attention to Deceptive Artifacts: Robust Detection of Compressed Deepfakes on Online Social Networks eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

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unresolved
no resolver link, observed 2026-08-06T22:52:28.405764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:52:28.405764Z digest=sha256:6741cc85fa41cea57eeb0453e97c9f8cfb6d00d714bd0127efa95f5fe72154fe

Observation 45547b5a-3975-438f-8a80-e554d2d9599b · inbound

Rethink Sparse Signals for Pose-guided Text-to-image Generation cites this paper.

Rethink Sparse Signals for Pose-guided Text-to-image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

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unresolved
no resolver link, observed 2026-08-06T22:40:18.447091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:40:18.447091Z digest=sha256:ab3bfad8df17c5fb9ba8e3e1b44b190189561433edcfe22bd99047d0c1a9b655

Observation b08804e5-8ff5-4084-b159-68d3b0b1c927 · inbound

Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback cites this paper.

Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 14

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no resolver link, observed 2026-08-06T20:35:50.644902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:35:50.644902Z digest=sha256:361190c97f2db803cbcf326e796abac8a8c323d3c8d46a08da5205b8f76ef6e0

Observation e6c1f154-424c-4e6e-8c97-0885f4d72d77 · inbound

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning cites this paper.

SPADE: Spatial-Aware Denoising Network for Open-vocabulary Panoptic Scene Graph Generation with Long- and Local-range Context Reasoning eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T19:23:13.558538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:23:13.558538Z digest=sha256:9a55385f35aed58e993a3587915bc090781704d57e8c8805c33971065bec068c

Observation 445a8dba-1b05-4cba-a628-2d456a35a3c4 · inbound

IGD: Instructional Graphic Design with Multimodal Layer Generation cites this paper.

IGD: Instructional Graphic Design with Multimodal Layer Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:47:41.908874Z digest=sha256:5622c6c0ec7a31ef0269d08102279103389040bea5e763490f6460af1a0461a4

Observation 16c16034-acc9-42f5-babd-616579a769d2 · inbound

Text Embedding Knows How to Quantize Text-Guided Diffusion Models cites this paper.

Text Embedding Knows How to Quantize Text-Guided Diffusion Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

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no resolver link, observed 2026-08-06T17:40:15.105103Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:40:15.105103Z digest=sha256:779d9c6f7ab2f317c33605793d1ceb5889191c36c22996dcbd4984c63708739f

Observation d4852944-9482-474d-b09d-235fe642719d · inbound

EC-Diff: Fast and High-Quality Edge-Cloud Collaborative Inference for Diffusion Models cites this paper.

EC-Diff: Fast and High-Quality Edge-Cloud Collaborative Inference for Diffusion Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

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unresolved
no resolver link, observed 2026-08-06T17:05:44.688352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:05:44.688352Z digest=sha256:bdf08ccc4d0ad5db16aeb4a9c1ed3b4417f6f92c1ac2197ede5db5c1f63c05cf

Observation 1e51ab2b-227c-4396-9f02-83f95e68273a · inbound

Style Composition within Distinct LoRA modules for Traditional Art cites this paper.

Style Composition within Distinct LoRA modules for Traditional Art eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 6

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no resolver link, observed 2026-08-06T17:02:23.270265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:02:23.270265Z digest=sha256:7c493420b4ece40daa57e907acfd390c4fec28bc7707fb72b7a1c0c3bc1ffe75

Observation 828bbe64-59ce-4710-842a-dbbf1bc3cc40 · inbound

ID-EA: Identity-driven Text Enhancement and Adaptation with Textual Inversion for Personalized Text-to-Image Generation cites this paper.

ID-EA: Identity-driven Text Enhancement and Adaptation with Textual Inversion for Personalized Text-to-Image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 6

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unresolved
no resolver link, observed 2026-08-06T17:01:03.781898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:01:03.781898Z digest=sha256:ab37d028fff24d3906f3aa907a3490ef5efb0fee17700f3258a2688b0674beda

Observation 54bc3a67-0437-45f9-b8e2-4f611f159b68 · inbound

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers cites this paper.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 7

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unresolved
no resolver link, observed 2026-08-06T15:42:23.635524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:23.635524Z digest=sha256:2ba24f56f61bbe2df3667a2b990d1b8399e498c48cdaa2ab123b32543a764b3e

Observation 6d627450-7cb7-4798-a4b1-1da25ab7f4a7 · inbound

HarmonPaint: Harmonized Training-Free Diffusion Inpainting cites this paper.

HarmonPaint: Harmonized Training-Free Diffusion Inpainting eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 62

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no resolver link, observed 2026-08-06T15:07:42.903385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:07:42.903385Z digest=sha256:c6c10b50c2541d6981816099ecfa3821df6a795916bdca5fae80719ad9d9e99d

Observation d266571f-816c-4dea-86a4-4e3ca68ebe78 · inbound

Detail++: Training-Free Detail Enhancer for T2I Diffusion Models cites this paper.

Detail++: Training-Free Detail Enhancer for T2I Diffusion Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:53.164955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:45:53.164955Z digest=sha256:c2436e66ac5954ad90a44756340289e166ad625fc1898407e615bce63fac3d3c

Observation 971b1463-4aac-482a-bee5-efb6137713e3 · inbound

Adapting Large VLMs with Iterative and Manual Instructions for Generative Low-light Enhancement cites this paper.

Adapting Large VLMs with Iterative and Manual Instructions for Generative Low-light Enhancement eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:07:00.089556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T03:04:20.516410Z digest=sha256:88a64636f67c7e3384ddc7d6a63e16d86dcbf685e34f65579c429a396ae7724e

Observation 2be2634a-9867-456f-97c1-6ceb237ba7e2 · inbound

LLMControl: Grounded Control of Text-to-Image Diffusion-based Synthesis with Multimodal LLMs cites this paper.

LLMControl: Grounded Control of Text-to-Image Diffusion-based Synthesis with Multimodal LLMs eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 52

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no resolver link, observed 2026-08-06T13:58:05.146539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:58:05.146539Z digest=sha256:9685223bddc1c5fec9d9e05c115531bb7e808ddf67d283abf2604327377586bf

Observation 2e92cf0d-7eeb-4d4c-9d31-50ebba10271f · inbound

Test-time Prompt Refinement for Text-to-Image Models cites this paper.

Test-time Prompt Refinement for Text-to-Image Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T15:01:52.186385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:01:52.186385Z digest=sha256:aa1946bc39c727e18fdeb99b28ec3c96458538a69f931f481ded875cbfddf204

Observation 25cbc780-269d-4c77-afc9-00fb10c257ad · inbound

ShortFT: Diffusion Model Alignment via Shortcut-based Fine-Tuning cites this paper.

ShortFT: Diffusion Model Alignment via Shortcut-based Fine-Tuning eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

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unresolved
no resolver link, observed 2026-08-06T11:32:39.827546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:32:39.827546Z digest=sha256:338528fc40d50e57e89960a2438e2ca9ee7441b39415bae0c12c1c030d833989

Observation b494398e-e282-4e35-87d9-2f46d17112af · inbound

UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries cites this paper.

UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-05-25T08:15:33.760443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T08:14:28.540629Z digest=sha256:457be5d3ac6aeec07c1ef66b6042e1ba7e2430cf9948a97688f959752b68e00b

Observation 6aca2a9f-dbf2-47ee-804d-bc3e525102b7 · inbound

DivControl: Knowledge Diversion for Controllable Image Generation cites this paper.

DivControl: Knowledge Diversion for Controllable Image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

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unresolved
no resolver link, observed 2026-08-06T10:38:58.427687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:38:58.427687Z digest=sha256:66e08e44b2202cdcb76da8c47daf6d6d0bebbd9eefedb02af889c43fb1e25120

Observation 07287fd2-36b5-461f-bb83-b7d6b51313a9 · inbound

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization cites this paper.

StorySync: Training-Free Subject Consistency in Text-to-Image Generation via Region Harmonization eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 4

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unresolved
no resolver link, observed 2026-08-06T10:47:00.530198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:47:00.530198Z digest=sha256:035d90fcfbf8ceab4c0bb5df993daddef43791e60b65c02aede10e662b305951

Observation 474696b9-8d40-4138-b547-7d2445b24a9f · inbound

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering cites this paper.

LaRender: Training-Free Occlusion Control in Image Generation via Latent Rendering eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

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unresolved
no resolver link, observed 2026-08-05T22:02:50.001994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:02:50.001994Z digest=sha256:cf4df1e3bc9555411ddea4b0ef08ca9e4967dd35b0b82346bf576cdb78788d52

Observation eb7e1a1c-5734-40e6-be3c-6219bf1c564e · inbound

Disentanglement in T-space for Faster and Distributed Training of Diffusion Models with Fewer Latent-states cites this paper.

Disentanglement in T-space for Faster and Distributed Training of Diffusion Models with Fewer Latent-states eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T18:41:30.780764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:41:30.780764Z digest=sha256:c447dc79fe80140b976f8721a6d9fff77bf1236af96147918c72d337a893bf55

Observation 7f098930-233b-4c61-95fa-773a854f20bc · inbound

FBI: Learning Dexterous In-hand Manipulation with Dynamic Visuotactile Shortcut Policy cites this paper.

FBI: Learning Dexterous In-hand Manipulation with Dynamic Visuotactile Shortcut Policy eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

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unresolved
no resolver link, observed 2026-08-05T18:37:17.304373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:37:17.304373Z digest=sha256:66dba43a07b1f77b9f0b66c0152391c140f76fc26338fef3d7a57d4769659257

Observation b5ec6584-cfa5-4459-ba90-11305488c884 · inbound

PVNet: Point-Voxel Interaction LiDAR Scene Upsampling Via Diffusion Models cites this paper.

PVNet: Point-Voxel Interaction LiDAR Scene Upsampling Via Diffusion Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 46

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unresolved
no resolver link, observed 2026-08-05T17:06:01.024756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:06:01.024756Z digest=sha256:b300a21b2e4b8871abb681687594e7136d65b90f4eb40938c52d2b5bcb97bd17

Observation 3893f42b-8f57-47a7-8e03-eef69f1cb5b3 · inbound

CompSlider: Compositional Slider for Disentangled Multiple-Attribute Image Generation cites this paper.

CompSlider: Compositional Slider for Disentangled Multiple-Attribute Image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

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unresolved
no resolver link, observed 2026-08-05T13:02:41.014213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:02:41.014213Z digest=sha256:889de355a49940f68f7e74810bfb6fef6dd3c10c6e50da384d56b22fe11a8cc5

Observation 09184a01-47fa-4191-a0b0-786f9e66bac6 · inbound

TeRA: Rethinking Text-guided Realistic 3D Avatar Generation cites this paper.

TeRA: Rethinking Text-guided Realistic 3D Avatar Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 9

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no resolver link, observed 2026-08-05T11:42:08.312655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:42:08.312655Z digest=sha256:33233a59931f2fecf1cf1748380f2eb3625b6338cfe68d4bcc4a02aade26a4e8

Observation 3ff10ea4-1236-492a-9fb8-96c01277074a · inbound

LuxDiT: Lighting Estimation with Video Diffusion Transformer cites this paper.

LuxDiT: Lighting Estimation with Video Diffusion Transformer eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

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unresolved
no resolver link, observed 2026-08-05T10:52:02.104137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:52:02.104137Z digest=sha256:32b178195935607381cadfa1a8496274f3dbb415449745e10b7a764a0ba1abe1

Observation ed700eef-2748-4f9f-bb7b-d5a258b5aaf1 · inbound

MEPG:Multi-Expert Planning and Generation for Compositionally-Rich Image Generation cites this paper.

MEPG:Multi-Expert Planning and Generation for Compositionally-Rich Image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T10:24:55.186279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:24:55.186279Z digest=sha256:3e0c80b9d3bb26b4f64607b7d4b24215b2bc6480b1c5bb965eb9f7a89ace28fd

Observation 15b31ab6-c551-4039-a9f1-66e1b0a3951d · inbound

BADiff: Bandwidth Adaptive Diffusion Model cites this paper.

BADiff: Bandwidth Adaptive Diffusion Model eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-18T04:32:23.149648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T04:31:20.147005Z digest=sha256:0454e616ebbc39d35550bc4688ce2d3505313d159dc29efb942de120c9a74f77

Observation 9d6c44bf-1ede-4ea1-a049-a9693044934b · inbound

Determinism of Randomness: Prompt-Residual Seed Shaping for Diffusion Generation cites this paper.

Determinism of Randomness: Prompt-Residual Seed Shaping for Diffusion Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-18T00:15:31.754773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T00:13:15.606804Z digest=sha256:d11c0422a4b1ad9cde9b2b79c378e018ef9faa449079bba66c2ad9752d4bf108

Observation fefe3a7e-d032-4dcf-897d-76eb4e067756 · inbound

SkyReels-Text: Fine-Grained Font-Controllable Text Editing for Poster Design cites this paper.

SkyReels-Text: Fine-Grained Font-Controllable Text Editing for Poster Design eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-17T21:55:20.229332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T21:53:26.925547Z digest=sha256:4ea83518e890fed9bfe1708fcd3e1312cb702d835f2affc5401c936bf85915aa

Observation d87214ab-67cf-4651-b51e-c6eb10ea12ab · inbound

FireScope: Wildfire Risk Raster Prediction with a Chain-of-Thought Oracle cites this paper.

FireScope: Wildfire Risk Raster Prediction with a Chain-of-Thought Oracle eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-17T20:50:15.283812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T20:45:15.034196Z digest=sha256:6a40637a5b4dd4a82ad268c52a3893b2eadf995c69a3df570c375dc475310a01

Observation 632eaac9-d5d2-459f-b7b2-4266d9336fda · inbound

FireScope: Wildfire Risk Raster Prediction with a Chain-of-Thought Oracle cites this paper.

FireScope: Wildfire Risk Raster Prediction with a Chain-of-Thought Oracle eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-25T07:20:28.831141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T07:17:26.381232Z digest=sha256:5c06054edba64f9845d15e6891ccff3650798f93c52f25148a987ac875a2ac95

Observation 9e9988b7-d6e1-4195-b2ca-0440c21aafab · inbound

Screen, Cache, and Match: A Training-Free Causality-Consistent Reference Frame Framework for Human Animation cites this paper.

Screen, Cache, and Match: A Training-Free Causality-Consistent Reference Frame Framework for Human Animation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-16T23:13:39.301040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T23:13:09.767909Z digest=sha256:4523915f028cc89fea1f041ed0458b3a2313f966fd5232665fd17fcefd7ba660

Observation 5f44977e-193e-4bf3-a87a-5592d628d969 · inbound

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation cites this paper.

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T15:20:09.021378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T15:16:59.801347Z digest=sha256:0f598056c482a1e247d34fd31e84be139325a527da13bf24ac70d9f4b58549c3

Observation a78a7641-2561-4da6-b075-d196545bf8f6 · inbound

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation cites this paper.

DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-15T12:51:20.969593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T12:51:20.969593Z digest=sha256:783736198da1564becf8d70b8f306764e551a8800b97247d8122beacd0c6f24a

Observation a0afd2ce-21b2-46fc-b4e6-43f1058deb03 · inbound

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis cites this paper.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-15T15:06:10.175696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T15:02:16.208300Z digest=sha256:8089ee7b91d9075f93b5e7d2882ee29f8edca83ec9e0ad65a820ae784a97675f

Observation 3034ded7-ae14-4f6a-b7d3-70bb11d81576 · inbound

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis cites this paper.

C$^2$FG: Control Classifier-Free Guidance via Score Discrepancy Analysis eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-21T12:04:09.476559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T12:04:07.443646Z digest=sha256:ca0a0948e6ff580888fd1b48e9c41fad8da72faf8221ca32c732a67d80bdec2a

Observation 70a3f10d-a146-43a8-b2ad-ef9e332b2aae · inbound

RAE-NWM: Navigation World Model in Dense Visual Representation Space cites this paper.

RAE-NWM: Navigation World Model in Dense Visual Representation Space eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-15T12:07:05.640150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T12:07:05.640150Z digest=sha256:588f2955e06beaa80681713d997a10d99803ddeff6d16c16fbd33b9528cd0c0e

Observation 63f9bc40-804d-440f-b078-c284791897e8 · inbound

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation cites this paper.

EmoScene: A Dual-space Dataset for Controllable Affective Image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T05:37:54.863413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:37:54.863413Z digest=sha256:b5539e6408e4dfbd96ebc1bdd221296c0c36c626a05f6fb6f212422b3c69e1ca

Observation 0ef16b8a-25dd-4b9d-adee-70a6e9343615 · inbound

3D Smoke Scene Reconstruction Guided by Vision Priors from Multimodal Large Language Models cites this paper.

3D Smoke Scene Reconstruction Guided by Vision Priors from Multimodal Large Language Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T19:44:10.507760Z digest=sha256:36debee1b9080902ada95a12ec0d455d6a44f59c8420a01a3c88aef9e1e894e3

Observation c956675c-cbfe-4f4d-bf63-5891f02140c3 · inbound

PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer cites this paper.

PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T19:20:52.810648Z digest=sha256:221cf7f821816fe8255b4c81b28011d5c14943750108c1b8270bc65c3288afc8

Observation 4422cfb9-91cf-48be-9843-a6641d9e44af · inbound

OFA-Diffusion Compression: Compressing Diffusion Model in One-Shot Manner cites this paper.

OFA-Diffusion Compression: Compressing Diffusion Model in One-Shot Manner eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:37:25.939058Z digest=sha256:a9695f7d4a7f113902c133b45f106568c267d7de50e9e981cc15f2e9ce6f7417

Observation 2f3a28ab-4758-46d4-b5fe-780ad92178d6 · inbound

ADP-DiT: Text-Guided Diffusion Transformer for Brain Image Generation in Alzheimer's Disease Progression cites this paper.

ADP-DiT: Text-Guided Diffusion Transformer for Brain Image Generation in Alzheimer's Disease Progression eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:27:50.244229Z digest=sha256:07e4f74db50e5b0c6863d2ecb1a90d61b8c560564e4e4b3f621385d0738dbe7d

Observation ded06288-94af-4f76-ab28-11a439e6023e · inbound

DiffMagicFace: Identity Consistent Facial Editing of Real Videos cites this paper.

DiffMagicFace: Identity Consistent Facial Editing of Real Videos eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T13:00:14.782905Z digest=sha256:ea2e02ddc95709ccfd05c73a8b061d5a70f2c35408bbf4e19ac20de36d0b6326

Observation 078095d8-0147-472c-acaa-8b3449688842 · inbound

Temporally Extended Mixture-of-Experts Models cites this paper.

Temporally Extended Mixture-of-Experts Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T00:39:39.492135Z digest=sha256:c874f1caa0078bebf682faf0983778fffafe31072d600d8d1d6dac781c7d32bc

Observation 75e5cae1-5760-40b1-ba75-a4493a90f105 · inbound

Benchmarking Layout-Guided Diffusion Models through Unified Semantic-Spatial Evaluation in Closed and Open Settings cites this paper.

Benchmarking Layout-Guided Diffusion Models through Unified Semantic-Spatial Evaluation in Closed and Open Settings eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T16:58:28.380188Z digest=sha256:1d7f5577f595f96d3d869cfc126dd64e81712f16422f68fad62eb4cd7e431ccc

Observation 7ad172ae-bb5d-4534-9d8d-1b6d2c7130b8 · inbound

Leveraging Verifier-Based Reinforcement Learning in Image Editing cites this paper.

Leveraging Verifier-Based Reinforcement Learning in Image Editing eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T08:00:33.307429Z digest=sha256:bb60025451751079c67a3c7ff6bf7788175bb637995b2bed8fc62637200265e4

Observation 5f1fb990-3ae2-4748-9199-c8f48e649161 · inbound

Leveraging Verifier-Based Reinforcement Learning in Image Editing cites this paper.

Leveraging Verifier-Based Reinforcement Learning in Image Editing eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-21T09:14:05.985262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T09:11:02.183133Z digest=sha256:6b0b05e67c57f399b6502f2e522f0b3804d5d6402d1a386258338d494c98ebd7

Observation c94b9064-742f-4c50-977e-3f5f60bc7520 · inbound

Embody4D: A Generalist Data Engine for Embodied 4D World Modeling cites this paper.

Embody4D: A Generalist Data Engine for Embodied 4D World Modeling eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T19:16:50.004359Z digest=sha256:51002a660454e2821f5be618f5000cf09948576ebfb9a809a8e9aa10d036848b

Observation af36eaac-8998-435a-a5bb-540b219ba0b6 · inbound

Embody4D: A Generalist Data Engine for Embodied 4D World Modeling cites this paper.

Embody4D: A Generalist Data Engine for Embodied 4D World Modeling eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T00:25:09.902756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T00:17:39.409452Z digest=sha256:657c66985c1f74411bff7978743bd1872fb42ce644c81b19517ed526502a9563

Observation f1cbd7d5-a271-4c37-a846-60a2a858c529 · inbound

A Flow Matching Algorithm for Many-Shot Adaptation to Unseen Distributions cites this paper.

A Flow Matching Algorithm for Many-Shot Adaptation to Unseen Distributions eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:44:22.991611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T13:13:22.775999Z digest=sha256:e279a47f97bcc5395b33779d905777f703e4e691d825a44aac1872e0b83f5957

Observation 78006a91-efd5-46cf-8011-4aa4f4d486ee · inbound

ElasticDiT: Efficient Diffusion Transformers via Elastic Architecture and Sparse Attention for High-Resolution Image Generation on Mobile Devices cites this paper.

ElasticDiT: Efficient Diffusion Transformers via Elastic Architecture and Sparse Attention for High-Resolution Image Generation on Mobile Devices eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 50

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T20:03:43.779101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T20:00:27.987481Z digest=sha256:a3a25a54120b4ab667d5e02f1409641610399df5fb15b5ad1e160c94decbe7da

Observation dba62026-e24a-49ee-81dd-825f6bf31fa9 · inbound

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers cites this paper.

DiRotQ: Rotation-Aware Quantization for 4-bit Diffusion Transformers eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-19T21:52:48.380410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T21:48:35.203469Z digest=sha256:c88fd68a02485a6d77d636d118f7646e2a2f9394179ff2b7034b21ea100a2b25

Observation 5f3a5b1d-2f8f-43ab-bff8-ae7d49bdf35d · inbound

Functionalization via Structure Completion and Motion Rectification cites this paper.

Functionalization via Structure Completion and Motion Rectification eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 235

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T12:28:17.055342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T12:25:07.157086Z digest=sha256:8d12e9d5dacc836633630a53cfec6e6c74cdb9155b8af0d32197d603468d1685

Observation 863a4281-f374-49a6-a2dd-b14c782dcecb · inbound

Boosting Text-to-Image Diffusion Models via Core Token Attention-Based Seed Selection cites this paper.

Boosting Text-to-Image Diffusion Models via Core Token Attention-Based Seed Selection eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-20T06:28:05.554995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T06:25:32.694239Z digest=sha256:1a6e047094e77d2de2651b28db8adb66a0e6d1104f5333d61086f438de1610db

Observation 116b8b7b-a159-4256-ae79-42c055c1e030 · inbound

Probability-Conserving Flow Guidance cites this paper.

Probability-Conserving Flow Guidance eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-20T05:48:04.580212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T05:44:00.004160Z digest=sha256:76fc17e774971ac65d9d8b93f7880b63fd14c282ff341c974532d034abd3aacd

Observation 76e9be83-1093-4ba6-8b1b-1331471cb602 · inbound

TunerDiT: Training-free Progressive Steering of Diffusion Transformer for Multi-Event Video Generation cites this paper.

TunerDiT: Training-free Progressive Steering of Diffusion Transformer for Multi-Event Video Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-06-28T23:12:46.594052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T23:11:58.580004Z digest=sha256:4a0bb28a7d10cb2b6a7b92552c4c53c9d1731916adbceb0d40d02879109d9775

Observation ee394b25-a001-41d7-ba28-6582004b9f15 · inbound

COLLAR: Cascaded Object-Level Latent Refinement for High-Fidelity Conditional Generation cites this paper.

COLLAR: Cascaded Object-Level Latent Refinement for High-Fidelity Conditional Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-06-28T17:52:27.267203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T17:51:18.190103Z digest=sha256:fadccc076a8e3762a7bc81225d684c2b78a4e1a3d0b0ab32498e52b781ee9625

Observation 592ee39d-b797-44be-866a-445beb32c426 · inbound

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search cites this paper.

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 149

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T22:36:16.991442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T15:18:17.427707Z digest=sha256:e2a2304a182198442b27c8c4e6ca2767f3248c84d5cc1f4532a3eb877d911e1c

Observation 3ca6233f-727d-4d2b-869a-c15ad2ca206e · inbound

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search cites this paper.

ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 149

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T23:17:28.858650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-02T23:17:03.456746Z digest=sha256:e3be97063ee360a8bc0cfc270eb651169733ee2e25193a1f74d4fa4543c6ccc1

Observation 80813f2b-ef85-444f-9024-be2fcb752dbf · inbound

Organizational Control Layer: Governance Infrastructure at the Execution Boundary of LLM Agent Systems cites this paper.

Organizational Control Layer: Governance Infrastructure at the Execution Boundary of LLM Agent Systems eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 128

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T11:16:53.831404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T04:17:18.483765Z digest=sha256:26b40d1a6b9843e4eff2cbc8a3ca41a91148f4c208c810aa253075db34b0db1c

Observation f9a6089f-248c-4f82-894f-0a0f5becdf0e · inbound

Complexity-Balanced Diffusion Splitting cites this paper.

Complexity-Balanced Diffusion Splitting eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-07-02T12:16:56.637155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T02:21:11.177707Z digest=sha256:da19cded9b0436379fa964851e6b3435dac3232c477dd505cd0ce0b3e856bfb7