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Paper Citation Record · LEDGER

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation

As of 17 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 0 inbound Pith citation observations for arXiv:2507.02299.

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

pith.paper-citation-record.v1
2507.02299 v1

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:36:16.009685Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

81 of 81 outbound references displayed

  • verified exact1
  • verified fuzzy40
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 63a7ec17-3472-4869-bd8a-72e1e5b048aa · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Zero-1-to-3: Zero-shot one image to 3d object,

Reference 1

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no resolver link, observed 2026-08-06T20:36:07.935293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:07.935293Z digest=sha256:4faeb6492bbe7bfd448ace78ccc11b8055328fe9ab5bfe01e5db7c4717cee879

Observation a9f38913-9997-4e4d-aa7f-2a4a9cb1a7d0 · outbound

This paper cites SyncDreamer: Generating Multiview-consistent Images from a Single-view Image.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Reference 2

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no resolver link, observed 2026-08-06T20:36:07.989244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:07.989244Z digest=sha256:66f8386305a33f4e7fac355a34b24b5173ce874d345b614f58a10d9a487aa901

Observation a7b21c1e-2cf3-4454-96d9-ba0f2c6639f4 · outbound

This paper cites SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion

Reference 3

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no resolver link, observed 2026-08-06T20:36:08.055415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.055415Z digest=sha256:7e00eb11e83b43c453b44cc425dca3f15137a8622eda9992a48200dba14c29bb

Observation 3d05cf6f-f272-4965-ad03-99f059c38683 · outbound

This paper cites Denoising diffusion probabilistic models,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Denoising diffusion probabilistic models,

Reference 4

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no resolver link, observed 2026-08-06T20:36:08.146941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.146941Z digest=sha256:29f6854da98a033c55eea5bdfcdc86913953aa827b349c9fcf15c5f9fac33c32

Observation 642ee429-01f0-44d1-8207-6f052b5dd949 · outbound

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

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation High-resolution image synthesis with latent diffusion models,

Reference 5

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no resolver link, observed 2026-08-06T20:36:08.216805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.216805Z digest=sha256:8f48fa2b9a69b3c2c31f62fa18f1ebb90e4f0c17a3d089805f0c61eab24d130e

Observation e3f8c6f6-90d5-4c10-9e92-7352ed93c5fd · outbound

This paper cites Dreamfusion: Text-to-3d using 2d diffusion,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Dreamfusion: Text-to-3d using 2d diffusion,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:23.058483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:08.285877Z digest=sha256:2e3bead950005e444ef3e37df93a8510767dfc94dca7ddbbe3a3edaeafc68d5a

Observation 2eded986-b158-4852-a027-006e2f9396d1 · outbound

This paper cites Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Score jacobian chaining: Lifting pretrained 2d diffusion models for 3d generation,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T20:36:22.891154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:08.370301Z digest=sha256:b72c874b7b0de3d3636b7ac027fb9fee8460772b1fd0974af5df9a47f7d2c072

Observation dabee6d1-0931-4e9a-8b53-2a6d7341295d · outbound

This paper cites DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation

Reference 8

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no resolver link, observed 2026-08-06T20:36:08.429665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.429665Z digest=sha256:81a48035aeba6ec3b229d9914ec3df23acece5710d386bb81f0209fe3892814f

Observation d024f322-eb13-42dd-a9da-ae296e617f05 · outbound

This paper cites ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

Reference 9

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unresolved
no resolver link, observed 2026-08-06T20:36:08.503531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.503531Z digest=sha256:c8609483a27112830824ff7483964b49c1e383162b01b45684194aa8dbe09d0d

Observation 0afa6ff5-4db6-4ba4-8ba7-8af32ac4ef7e · outbound

This paper cites Magic3d: High- resolution text-to-3d content creation,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Magic3d: High- resolution text-to-3d content creation,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T20:36:22.749125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:08.587919Z digest=sha256:862c5907a4c49ca9e59ec2527ab2bdc105f4387bbbf67641d97641a42b87af18

Observation 31cacbb0-74b5-482a-b2bc-5c335629a45a · outbound

This paper cites Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation

Reference 11

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no resolver link, observed 2026-08-06T20:36:08.651200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.651200Z digest=sha256:e54dc51713125bdd61ae0559283c71370e0899c61a91c30fdeef5c874121c825

Observation 028eba2e-f063-4383-8793-d307f286b592 · outbound

This paper cites Zero123++: a single image to consistent multi-view diffusion base model,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Zero123++: a single image to consistent multi-view diffusion base model,

Reference 12

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no resolver link, observed 2026-08-06T20:36:08.724067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.724067Z digest=sha256:85263dadf6d98802237d40ba1e610381d98a42d54f65a238929940fdf6da1991

Observation d6326d19-a9b0-41e7-8f2f-a162a35de1f4 · outbound

This paper cites Consistent-1-to- 3: Consistent image to 3d view synthesis via geometry-aware diffusion models,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Consistent-1-to- 3: Consistent image to 3d view synthesis via geometry-aware diffusion models,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:22.601116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:08.777862Z digest=sha256:4b6a925f272929043326c97dce5b40f95ef5ccb21dd3dd80dc1ac1b40f8b19e0

Observation 01ac35a6-df61-4f9b-89cf-ba1f1a97df67 · outbound

This paper cites Consistent123: Improve consistency for one image to 3d object synthesis,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Consistent123: Improve consistency for one image to 3d object synthesis,

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T20:36:22.447379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:08.838156Z digest=sha256:d9e3825e3f1b2bf4456ae0fb255b3b2db1193fa12a7781c87fbb4c48313c3e3f

Observation b68094d0-76db-4c5c-b20c-b3c9823dbff3 · outbound

This paper cites Wonder3d: Single image to 3d using cross-domain diffusion,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Wonder3d: Single image to 3d using cross-domain diffusion,

Reference 15

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no resolver link, observed 2026-08-06T20:36:08.925877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.925877Z digest=sha256:48ddc39200f18ba3973caf360f096cfd400594e2b535bca8b94af8521348d844

Observation 6a2badbc-3910-4ef8-929f-8094f5ce6edd · outbound

This paper cites Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views

Reference 16

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no resolver link, observed 2026-08-06T20:36:08.982158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:08.982158Z digest=sha256:cc38f1af864f66beb5f30fc7a63fa5ad391adcb917a440df517c69e90010701d

Observation ffcc21c5-a29d-4415-8317-e3cb9a1f0ca7 · outbound

This paper cites pixelnerf: Neural radiance fields from one or few images,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation pixelnerf: Neural radiance fields from one or few images,

Reference 17

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raw_fallback, observed 2026-08-06T20:36:22.258836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:09.038064Z digest=sha256:d5b3352c9c2aded95908b8c1fa1619405a087ee176cd736c85bbd42f4b8a3bd2

Observation 0fc955d3-3734-4794-b44e-a7b018ad492b · outbound

This paper cites Sparsefusion: Distilling view- conditioned diffusion for 3d reconstruction,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Sparsefusion: Distilling view- conditioned diffusion for 3d reconstruction,

Reference 18

Resolution
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raw_fallback, observed 2026-08-06T20:36:22.082724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:09.117635Z digest=sha256:2d6e0758a40d2f3da8a1cb0be7aed00b1fe464f460654ef2232376c8a552b540

Observation b05f1690-0712-4bf6-a411-9cc206f1cc0b · outbound

This paper cites Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction,

Reference 19

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raw_fallback, observed 2026-08-06T20:36:21.907941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:09.186736Z digest=sha256:f88a499f870f42bd7c67fbe95d8a119b8e042d5a2c6c7695f680944f5b27b6ae

Observation 0b44f41a-577f-41bc-bee4-51e8fd189043 · outbound

This paper cites Efficient geometry-aware 3d generative adversarial networks,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Efficient geometry-aware 3d generative adversarial networks,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T20:36:21.747857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:09.259942Z digest=sha256:8ce24454913a516842dbc27c60ceca719c0f6dec4d6cc08433dcc8a536d3b516

Observation d520de30-ee7d-4301-96d4-64437dc0d5eb · outbound

This paper cites DreamComposer: Controllable 3D Object Generation via Multi-View Conditions,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation DreamComposer: Controllable 3D Object Generation via Multi-View Conditions,

Reference 21

Resolution
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raw_fallback, observed 2026-08-06T20:36:21.552929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:09.338340Z digest=sha256:0ab47db42a50adf85f8e30ae5903a8c71075b69cc95c74ccaa6d09dba71ea178

Observation 287e3fd2-7044-4e4e-8210-fcdbe4569a31 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthesis,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-06T20:36:21.408413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:09.507588Z digest=sha256:0ebb521784ea5d65e0d0a452392ad2f0eedcf4b9a97075e93bd29fc805dea5aa

Observation 39a38af2-d05a-4184-9e85-056a3712a08f · outbound

This paper cites Viewformer: Nerf-free neural rendering from few images using transformers,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Viewformer: Nerf-free neural rendering from few images using transformers,

Reference 23

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raw_fallback, observed 2026-08-06T20:36:21.273086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:09.636102Z digest=sha256:ded3631044cc9aa66a4e311059b75f130eb837aba813d9d55cd7c2e4aab057d4

Observation 4a21cfed-b1bf-4547-91c1-85d5a53d7717 · outbound

This paper cites Nerfdiff: Single-image view synthesis with nerf-guided distillation from 3d-aware diffusion,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Nerfdiff: Single-image view synthesis with nerf-guided distillation from 3d-aware diffusion,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T20:36:21.082665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:09.837743Z digest=sha256:763464df5c2d5b674807199fb0d4ff480a4d514509a2fef1cd9a35f973de7b83

Observation 2812b12c-592b-44f5-b616-4f45708a429f · outbound

This paper cites Photorealistic text-to-image diffusion models with deep lan- guage understanding,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Photorealistic text-to-image diffusion models with deep lan- guage understanding,

Reference 25

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raw_fallback, observed 2026-08-06T20:36:20.901751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:10.034465Z digest=sha256:55c7fb0fccbff5451b93f8077fbe786b33e0ab42aca8552e857995348cdf1643

Observation 0a40c5d7-7a5b-4d0a-a0cc-50c6b33dab7a · outbound

This paper cites Objaverse: A universe of annotated 3d objects,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Objaverse: A universe of annotated 3d objects,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:20.694167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:10.257652Z digest=sha256:75a1198e38aed62407ae8bea119cf81e43daf73931f6a3a3a70d159e1f8b1a2c

Observation dbdcf1e2-c763-4634-bf27-ad925de07884 · outbound

This paper cites One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation One-2-3-45++: Fast single image to 3d objects with consistent multi-view generation and 3d diffusion,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:20.588239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:10.416078Z digest=sha256:204450a7f892b940700f7102260976a1d61f102e631fb015f371c54973628398

Observation d368a46f-74d4-49a0-86fd-cc0b2ca8c122 · outbound

This paper cites InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:10.642847Z digest=sha256:4951a79ae03ea7093766ebb4370f00d7ddcc38b16cb07a0515ab5360287fcbad

Observation f78eb95f-dcc1-47ca-b398-ef71a0aa5707 · outbound

This paper cites CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model

Reference 29

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unresolved
no resolver link, observed 2026-08-06T20:36:10.852113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:10.852113Z digest=sha256:1abca423239a02918cd2aa4902afcd2918de84bb1692c1b855cdd9f08f8a2260

Observation a3dfc322-d8d3-4117-9f9f-65cf38118ed7 · outbound

This paper cites One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion

Reference 30

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no resolver link, observed 2026-08-06T20:36:11.001799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:11.001799Z digest=sha256:cfe07e0c6ad750a42e84f5e8e1692584f2078c7863cbb94b5aa610c8e2d65aad

Observation 38781489-a5b9-4185-8c2e-8fec124476d8 · outbound

This paper cites Cat3d: Create anything in 3d with multi-view diffusion models,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Cat3d: Create anything in 3d with multi-view diffusion models,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:20.411882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:11.103548Z digest=sha256:3c5bcfc3edb22ffb9108f823194b0d80d6c5e3f09a61d26700ccab6e0bdb64eb

Observation cbffd964-ca57-4797-8d96-35c59277941b · outbound

This paper cites Free3d: Consistent novel view synthe- sis without 3d representation,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Free3d: Consistent novel view synthe- sis without 3d representation,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:20.263815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:11.226644Z digest=sha256:2bde1d4f17e7aceefecbb389d085f4b2a525ef465a7b38584c9e51c327bff998

Observation 01914995-5d32-4424-a4a5-b89a07ff9f79 · outbound

This paper cites ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation

Reference 33

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no resolver link, observed 2026-08-06T20:36:11.329493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:11.329493Z digest=sha256:418c6cc966e859cc2f081086c184dff3ee6cdf2da69d041aa50c128ae6b39ebc

Observation 5824f750-6dd7-4a7e-bde2-4c2fc3738758 · outbound

This paper cites TOSS:High-quality Text-guided Novel View Synthesis from a Single Image.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation TOSS:High-quality Text-guided Novel View Synthesis from a Single Image

Reference 34

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no resolver link, observed 2026-08-06T20:36:11.444011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:11.444011Z digest=sha256:5bc5244e5587f3126ce4616b6b72889f5fe60bafd69df779ac3b6599d75fdb98

Observation e420fe73-b13a-4f95-913d-a366b5288737 · outbound

This paper cites Novel View Synthesis with Diffusion Models.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Novel View Synthesis with Diffusion Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:11.560252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:11.560252Z digest=sha256:964f17a9ec4d97f5f2e008ad5b194f96d4500558fc7d4d79bb06b14f8b948238

Observation 9b62c02a-c819-4095-b86f-80349633d990 · outbound

This paper cites Generative Novel View Synthesis with 3D-Aware Diffusion Models.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Generative Novel View Synthesis with 3D-Aware Diffusion Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:11.696950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:11.696950Z digest=sha256:94bb1bd78e681fea31152b58cfadfea09480082b41833d53bd9133ca44d05d82

Observation b74e62d7-f288-4291-8e15-fe0ef834378e · outbound

This paper cites Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:11.811280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:11.811280Z digest=sha256:4b0716781b5351bddcf66c4e382f5e5f6a6489357c6eeb0f63313ce65a3e1487

Observation 6ecdc936-6712-4d3b-a239-7825640e89ef · outbound

This paper cites Dreamcontrol: Control-based text-to-3d generation with 3d self-prior,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Dreamcontrol: Control-based text-to-3d generation with 3d self-prior,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:20.069329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:11.901461Z digest=sha256:5975c96c4493414c5aa86b20244f6bf3c044ceb441952b1ecf5c643c9e75b104

Observation 08fcfa03-a66c-4b85-b506-55a378ac8805 · outbound

This paper cites SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:11.995161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:11.995161Z digest=sha256:338d3ac429dee6f50b425c2dc3ce09f894d779d02ea3eec03b4cabf28efe282f

Observation 066e9840-66a9-4d49-acf5-c6efc98af055 · outbound

This paper cites Dreampolisher: Towards high-quality text-to-3d generation via geometric diffusion,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Dreampolisher: Towards high-quality text-to-3d generation via geometric diffusion,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:19.859717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:12.052036Z digest=sha256:9697df1429c6ab00b1e5a9850a5417c568a6a8f9855dc0d0325c6c8181687819

Observation 4fb51216-8e2e-4987-9b03-0a8eea2c7930 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation ShapeNet: An Information-Rich 3D Model Repository

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:12.132706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:12.132706Z digest=sha256:930eb71495b463d232a4aa197beea78713e24563d0c108867fcc7817253b6bf0

Observation 327c457e-8510-412d-a191-8f18e13fc979 · outbound

This paper cites IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:12.181522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:12.181522Z digest=sha256:fb4ffbb0db350515073a3a0dc189453bed18d3a1a8077f72ead7e5ab4ef1eb7f

Observation bdab29b9-e02a-4f5b-aa5c-4d9fc818a4b0 · outbound

This paper cites VideoMV: Consistent Multi-View Generation Based on Large Video Generative Model.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation VideoMV: Consistent Multi-View Generation Based on Large Video Generative Model

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:12.378582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:12.378582Z digest=sha256:a5bf2d6846bfdcb61e080e1b4df3f6be66c506a79379593e2edc3e4f07e9b0c9

Observation b1c9d018-5822-4c41-a235-30427e2df6eb · outbound

This paper cites ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:12.477764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:12.477764Z digest=sha256:b3a2ea5c54aff81402bddc89c2c6b8e40307fb7e4a2e9cd115df230752e76ffc

Observation 8c9f2085-3945-48c1-a641-62ea8988aee3 · outbound

This paper cites Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion Models.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Hi3D: Pursuing High-Resolution Image-to-3D Generation with Video Diffusion Models

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:36:16.387679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:12.549637Z digest=sha256:8e80f4a442871a5c12925db4ec496cee6c1e1527ab68e70ee36ee94d50ff34ec

Observation c0e56fde-4a08-4373-8b23-1a49bdf595fd · outbound

This paper cites NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:12.626025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:12.626025Z digest=sha256:dd3759d9bbc43052504637d7f18c5f8ff6f26cfc02ec298b01a3a8a4df56c4c9

Observation 90cbf2c7-03b8-4f85-b98f-309fbffbeff5 · outbound

This paper cites Shap-e: Generating conditional 3d implicit functions,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Shap-e: Generating conditional 3d implicit functions,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:12.708911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:12.708911Z digest=sha256:9e8e396084659c9a2c7c4075e5a0e9bb0579505327b84a19b8e38bf6b56fe5eb

Observation d2d7cf4d-20f0-46e5-9e5d-0c3818766cb1 · outbound

This paper cites Point-e: A system for generating 3d point clouds from complex prompts,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Point-e: A system for generating 3d point clouds from complex prompts,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:19.693462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:12.843977Z digest=sha256:9836ca0531ef754e0146ab6d6ecb5b24e19dc8c4fa87ef97db765f356a07b2df

Observation f6842781-19c0-4c71-ad97-7f4be35166c5 · outbound

This paper cites Rodin: A generative model for sculpting 3d digital avatars using diffusion,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Rodin: A generative model for sculpting 3d digital avatars using diffusion,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:19.533588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:12.958714Z digest=sha256:a8a6ee15a60b019362be82db1320a63ef08aa6bce9b1c5933e5760aa64781336

Observation 92a3b1bd-c009-42ad-8e36-399f07aefcc8 · outbound

This paper cites Diffrf: Rendering-guided 3d radiance field diffu- sion,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Diffrf: Rendering-guided 3d radiance field diffu- sion,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:19.403755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:13.022472Z digest=sha256:3d6a119e6ab0881f8cefade41349ba59d126211662038048a263bc145c61831e

Observation da06f34c-f3a2-4709-b041-14756d7b76ad · outbound

This paper cites Latent-nerf for shape-guided generation of 3d shapes and textures,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Latent-nerf for shape-guided generation of 3d shapes and textures,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:19.223638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:13.115611Z digest=sha256:b3c72360cd0ccaab004a7765de0a5edf9e092b18eaed236cb3c0ed34b43b05c8

Observation 05aea156-2621-4c02-9314-ee2632ae8d6a · outbound

This paper cites GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:13.196996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:13.196996Z digest=sha256:915ba7f834a7083558fe0479901b7d6288a98fede654c8e4248a9a142fc941fd

Observation 29698f3b-78e6-44a7-8b00-d0d535de2427 · outbound

This paper cites Consistent3d: Towards consistent high-fidelity text-to-3d generation with deter- ministic sampling prior,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Consistent3d: Towards consistent high-fidelity text-to-3d generation with deter- ministic sampling prior,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:19.055320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:13.292503Z digest=sha256:ba97bf62ce86d6efa601fcc90415ceff286f8f1c55aef2dde74e4805d990fcd7

Observation 9bf5d421-ec1d-4b1d-ae4d-22f3f0310942 · outbound

This paper cites Score distillation sampling with learned manifold corrective,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Score distillation sampling with learned manifold corrective,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:18.906255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:13.397851Z digest=sha256:ba8035dc52dd4244ab0685e5415279263d560b1155b66fca18e2681e98633102

Observation 16840d1e-753f-40eb-a4bc-84353981e0d7 · outbound

This paper cites Stable score distillation for high-quality 3d generation,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Stable score distillation for high-quality 3d generation,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:18.703636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:13.469802Z digest=sha256:147b23aed803655ff761bdd6f28349f7fe45be6476503c253a37c3789b1b9186

Observation eb61c5a1-1952-4922-a92f-86b614e9541e · outbound

This paper cites Dreamview: Injecting view-specific text guidance into text-to-3d generation,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Dreamview: Injecting view-specific text guidance into text-to-3d generation,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:18.581408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:13.537462Z digest=sha256:16626923635dd3fadaa75b620f83392ead5d21c197f84c409c3a35fd9863a0d5

Observation 2e4df6f4-2720-46a9-9b7a-f0e9352554dc · outbound

This paper cites Real- fusion: 360deg reconstruction of any object from a single image,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Real- fusion: 360deg reconstruction of any object from a single image,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:18.464564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:13.659577Z digest=sha256:50d92bfacc45e3a517b7027ad4b8169bdfa6e5a874b083df9db8ecb9ad108adc

Observation 46bdb9b5-694e-4dcf-9b2e-4d2cd791cf69 · outbound

This paper cites Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:13.777998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:13.777998Z digest=sha256:d227243383812a730ccf471b779b8c5ce07582ffb685c7ee5ad6c87f129f230e

Observation 66b2fcbd-4fe8-4b70-9a2c-394b94681025 · outbound

This paper cites Neurallift- 360: Lifting an in-the-wild 2d photo to a 3d object with 360deg views,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Neurallift- 360: Lifting an in-the-wild 2d photo to a 3d object with 360deg views,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:18.360635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:13.883488Z digest=sha256:59b842e88f925354c2fef4f65581ec9bfc7139088de1836f7ffb7961f2837259

Observation 4494e53d-0071-47e0-98c3-bb8312a6d26d · outbound

This paper cites Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:13.967864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:13.967864Z digest=sha256:65a3e9e0e2a40316f18b070b62b4b7f9af46ce9a5075b61d2f46197dcedfd111

Observation 131d1012-a881-4023-aa25-0223705b28ec · outbound

This paper cites Make-it-3d: High-fidelity 3d creation from a single image with diffusion prior,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Make-it-3d: High-fidelity 3d creation from a single image with diffusion prior,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:18.257956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:14.059561Z digest=sha256:6e974610e3c8b37b759d331241d7e4e793dc3a547eb3f3e6da2abb6b7e03cd08

Observation 0a7131f3-67c3-4cd6-b882-a2afa1fc4b37 · outbound

This paper cites Neurallift- 360: Lifting an in-the-wild 2d photo to a 3d object with 360◦ views,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Neurallift- 360: Lifting an in-the-wild 2d photo to a 3d object with 360◦ views,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:18.122534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:14.141122Z digest=sha256:9172924da914e9507e1853f9003b4e3cacf657d132c3c7c6efbd80f33c70a15d

Observation a58a1f33-0d1c-488b-bb9f-6f9c8e5d6b0d · outbound

This paper cites DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:14.265427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:14.265427Z digest=sha256:6ff162fcc897a32bc7d709559f9a0030ba2ea61d440cd93a7a87f7615fbc0a7d

Observation cc834f65-5d59-49a1-9840-dd426e6b263c · outbound

This paper cites Meshgpt: Generating triangle meshes with decoder-only transformers,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Meshgpt: Generating triangle meshes with decoder-only transformers,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:18.023160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:14.398849Z digest=sha256:57c46cd8fff2d663170f5331e71ba08235ae8212490a76e4407dbcc0bf372cae

Observation 7deb0e46-1638-4b92-86dc-00840ffb8c68 · outbound

This paper cites MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:14.544181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:14.544181Z digest=sha256:4da95dba59cf331c09c5b9af5a7c3340bc2b882c42a80cc3b398c118c140fb80

Observation 7202fb03-eb99-4851-bc09-9a4f5b12c945 · outbound

This paper cites MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:14.627668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:14.627668Z digest=sha256:0b6303f6156e7d2c48e8bab755280c6cfdcf14476fd48f8086cf7a8c52dba7cb

Observation 69d09c1b-5f1b-4a58-a85b-f61fc7af27ca · outbound

This paper cites Meshxl: Neural coordinate field for generative 3d foundation models,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Meshxl: Neural coordinate field for generative 3d foundation models,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:17.893106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:14.698426Z digest=sha256:567be38d83e05c0f5643bef635929441529b58b98ceb447a4f61a3aa959781a0

Observation 6df501ec-dcc5-4c83-876c-f705d24734ef · outbound

This paper cites Scaling Mesh Generation via Compressive Tokenization.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Scaling Mesh Generation via Compressive Tokenization

Reference 68

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unresolved
no resolver link, observed 2026-08-06T20:36:14.765792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:14.765792Z digest=sha256:d6812f1d850202a145b253d6541a783a35d00521eec5a6c731c4342757c82184

Observation 95476c95-d459-4537-91ea-e6de872863d5 · outbound

This paper cites EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation

Reference 69

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unresolved
no resolver link, observed 2026-08-06T20:36:14.853017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:14.853017Z digest=sha256:2313199b60923b3a8433ac9f1d7de5c893a6032b087011c97b6a8a8d3ea97e31

Observation 9fb706bb-a574-4fe0-8fab-02dbebc625c5 · outbound

This paper cites Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale

Reference 70

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unresolved
no resolver link, observed 2026-08-06T20:36:14.966386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:14.966386Z digest=sha256:b577f46f6f8d2ef37365dffb2205784e2f64f8b86ef7d744af1cf1369f267fe8

Observation df34c991-a5de-42a3-89f9-d01b51622867 · outbound

This paper cites Structured 3D Latents for Scalable and Versatile 3D Generation.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Structured 3D Latents for Scalable and Versatile 3D Generation

Reference 71

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unresolved
no resolver link, observed 2026-08-06T20:36:15.051565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:15.051565Z digest=sha256:01cd4d0ab904103fa096e44535092971a0b616f3dccc7d89325bbbecda5e1b53

Observation db7a27dd-6959-4f2c-ac9a-3513722bc413 · outbound

This paper cites LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias

Reference 72

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unresolved
no resolver link, observed 2026-08-06T20:36:15.156265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:15.156265Z digest=sha256:900f13bf87ad36bc268bc8803e223223be8ec86c93777e810cc509d1da2c76a6

Observation abee1320-8412-4140-8956-452ca0f4eefb · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Instructpix2pix: Learning to follow image editing instructions,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:17.695500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:15.229868Z digest=sha256:023bcba6b12c582625c554587ee957194b664d36a054946fccd6575c5de043b8

Observation 73f419f0-acfc-4d9f-9217-f223aad9d044 · outbound

This paper cites Drag your gan: Interactive point-based manipulation on the generative image manifold,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Drag your gan: Interactive point-based manipulation on the generative image manifold,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:17.515046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:15.318256Z digest=sha256:4cc6a5669bd2a64201bec9bf3af13d1c21a067d4ebaad0b8e64f061064cde559

Observation 0837017d-d1c8-42fb-a6de-bd04dca4ae59 · outbound

This paper cites Dragdiffusion: Harnessing diffusion models for interactive point-based image editing,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Dragdiffusion: Harnessing diffusion models for interactive point-based image editing,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:17.373905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:15.440358Z digest=sha256:6a4d876ca4326095643f561225e3475fd05f98fc88ad3ee9638ed7100e44629e

Observation 25e4691e-7fb2-452e-8ee9-f6ba1fa8967f · outbound

This paper cites Google scanned objects: A high-quality dataset of 3d scanned household items,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Google scanned objects: A high-quality dataset of 3d scanned household items,

Reference 76

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unresolved
no resolver link, observed 2026-08-06T20:36:15.508471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:15.508471Z digest=sha256:2731825edd90e6ed4e38d95f7aacac51b91f18c02bdc60cdd143d8e0a02ed678

Observation 54b3a2ce-6f9d-4e27-8305-532cdd95b1f9 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Image quality assessment: from error visibility to structural similarity,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:17.161296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:15.608775Z digest=sha256:a86fc5378a80d537549650480ad34edb641cca1899e008aae4cc281965339540

Observation 5a8ba7d6-1a67-4bae-a9a1-cb3a8d3f8ac6 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation The unreasonable effectiveness of deep features as a perceptual metric,

Reference 78

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unresolved
no resolver link, observed 2026-08-06T20:36:15.730020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:15.730020Z digest=sha256:f148df55b23c4aed666fc76689dbf7457a6ebb5f9495aaecdf392e292d72e5b1

Observation fc3afe56-6589-4519-aaf6-2509a74c7a41 · outbound

This paper cites Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:16.965636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:15.846699Z digest=sha256:599c1997ff902a0729dd678970c71b08a7ace4473b8a39d17f51af8ef2d4a42b

Observation bb1195da-673e-4f4f-987a-fe056ed8f73c · outbound

This paper cites Adding conditional control to text-to-image diffusion models,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation Adding conditional control to text-to-image diffusion models,

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-06T20:36:15.945000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:36:15.945000Z digest=sha256:a1e9c986ab89148b78217481989ef83594f9793d7b09905b4d099ffa58a5d6f9

Observation 373549d6-9f5b-41fb-bbbc-97d4a80c2888 · outbound

This paper cites DreamWaltz: Make a Scene with Complex 3D Animatable Avatars,.

DreamComposer++: Empowering Diffusion Models with Multi-View Conditions for 3D Content Generation DreamWaltz: Make a Scene with Complex 3D Animatable Avatars,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:36:16.799801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T20:36:16.009685Z digest=sha256:7666eb05a7111da9fc7f8a8a91c3da4266fb2d780637df18b70e7d8d0daff289

Pith citing papers

No inbound Pith citation observations are available.