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Paper Citation Record · LEDGER

How to Use Diffusion Priors under Sparse Views?

As of 18 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 1 inbound Pith citation observation for arXiv:2412.02225.

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

pith.paper-citation-record.v1
2412.02225 v1

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:48:26.064062Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:14:18.321828Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:14:19.138571Z

Reference resolution

74 of 74 outbound references displayed

  • verified exact0
  • verified fuzzy63
  • unresolved9
  • parse uncertain0
  • malformed identifier2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a307ceb6-bbca-4fb8-8948-23bf3dbcd961 · outbound

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

How to Use Diffusion Priors under Sparse Views? Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 1

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no resolver link, observed 2026-08-11T23:48:24.186825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0492eec8-274d-4c5b-b9a5-ac7658463b9c · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering,.

How to Use Diffusion Priors under Sparse Views? 3d gaussian splatting for real-time radiance field rendering,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-11T23:48:28.483194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2db27cb4-475e-4625-8bb9-d9f4019245a1 · outbound

This paper cites BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fields.

How to Use Diffusion Priors under Sparse Views? BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fields

Reference 3

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no resolver link, observed 2026-08-11T23:48:24.337781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d09ea3e1-c101-4ebb-adce-ce682c24a6cb · outbound

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

How to Use Diffusion Priors under Sparse Views? NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)

Reference 4

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no resolver link, observed 2026-08-11T23:48:24.431614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:48:24.431614Z digest=sha256:6fb169618114b370cf34a3ed0090fa60e03dad9cdd2afb155bfa7f66d45c63e0

Observation 238d0308-4c61-4404-958c-ed4077f6ae09 · outbound

This paper cites A Survey on 3D Gaussian Splatting.

How to Use Diffusion Priors under Sparse Views? A Survey on 3D Gaussian Splatting

Reference 5

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no resolver link, observed 2026-08-11T23:48:24.455066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:48:24.455066Z digest=sha256:b7f0405af3cd2869cf115aefdd51ee706f52c9202d7d1d3085c94a276c1c0af8

Observation ed9a7386-1045-4435-89a6-96633c6ce535 · outbound

This paper cites 3D Gaussian as a New Era: A Survey.

How to Use Diffusion Priors under Sparse Views? 3D Gaussian as a New Era: A Survey

Reference 6

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unresolved
no resolver link, observed 2026-08-11T23:48:24.481674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:48:24.481674Z digest=sha256:8ed71e93c4e1b40dc92b6e7563f2ed4ea853fc66e623f96672ff83915bcd3179

Observation 8f73d4b5-a6b8-4954-9d1a-0721b32e43ac · outbound

This paper cites Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs,.

How to Use Diffusion Priors under Sparse Views? Regnerf: Regularizing neural radiance fields for view synthesis from sparse inputs,

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-11T23:48:28.466488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1b85537b-0849-465e-9b7e-dcd6abc9ce94 · outbound

This paper cites Freenerf: Improving few-shot neural rendering with free frequency regularization,.

How to Use Diffusion Priors under Sparse Views? Freenerf: Improving few-shot neural rendering with free frequency regularization,

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-11T23:48:28.449767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:24.492950Z digest=sha256:80ee215a3e040c3dcbe3f9ce4ab2bc913c28a03b8ed00be9ff13eb1079493af4

Observation 626c0a1a-09fb-4260-9d7c-086fe59f52e5 · outbound

This paper cites Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normalization,.

How to Use Diffusion Priors under Sparse Views? Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normalization,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-11T23:48:28.415609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:24.498487Z digest=sha256:da28572261dcf07d4ace25bdd91ecb4322ee48a0253ea9a1f11cbb6bbce9a598

Observation 2c224024-c635-4061-945b-a65ceb5ce645 · outbound

This paper cites Putting nerf on a diet: Semantically consistent few-shot view synthesis,.

How to Use Diffusion Priors under Sparse Views? Putting nerf on a diet: Semantically consistent few-shot view synthesis,

Reference 10

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raw_fallback, observed 2026-08-11T23:48:28.276864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 090d89ce-5f1d-4b74-bcd9-7d5398978fab · outbound

This paper cites Depth-supervised nerf: Fewer views and faster training for free,.

How to Use Diffusion Priors under Sparse Views? Depth-supervised nerf: Fewer views and faster training for free,

Reference 11

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raw_fallback, observed 2026-08-11T23:48:28.252244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 82c83582-f825-44ce-85c0-c59975d43a83 · outbound

This paper cites Sparsenerf: Distilling depth ranking for few-shot novel view synthesis,.

How to Use Diffusion Priors under Sparse Views? Sparsenerf: Distilling depth ranking for few-shot novel view synthesis,

Reference 12

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raw_fallback, observed 2026-08-11T23:48:28.235446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 04001af0-694a-4ac3-885d-b80091908637 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

How to Use Diffusion Priors under Sparse Views? Learning transferable visual models from natural language supervi- sion,

Reference 13

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raw_fallback, observed 2026-08-11T23:48:28.219558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 77ae3e98-b8d4-49b9-b93d-1c0dbef3968e · outbound

This paper cites SparseGS: Sparse View Synthesis using 3D Gaussian Splatting.

How to Use Diffusion Priors under Sparse Views? SparseGS: Sparse View Synthesis using 3D Gaussian Splatting

Reference 14

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unresolved
no resolver link, observed 2026-08-11T23:48:24.538560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 93f3bc6a-4c70-4018-905b-06c51a8044cb · outbound

This paper cites Reconfusion: 3d reconstruction with diffusion priors,.

How to Use Diffusion Priors under Sparse Views? Reconfusion: 3d reconstruction with diffusion priors,

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-11T23:48:28.203041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 50f9080a-024c-49ca-b1c8-697e7b4ab83a · outbound

This paper cites Deceptive-nerf/3dgs: Diffusion- generated pseudo-observations for high-quality sparse-view reconstruction,.

How to Use Diffusion Priors under Sparse Views? Deceptive-nerf/3dgs: Diffusion- generated pseudo-observations for high-quality sparse-view reconstruction,

Reference 16

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raw_fallback, observed 2026-08-11T23:48:28.187089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c6935690-871a-44cf-9a94-96c80fc4fe7f · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

How to Use Diffusion Priors under Sparse Views? Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2a526553-9f53-47dc-9b10-9a42ed9918de · outbound

This paper cites Denoising diffusion probabilistic models,.

How to Use Diffusion Priors under Sparse Views? Denoising diffusion probabilistic models,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4b465b66-3be8-4660-ba62-9ab0d6b6cd24 · outbound

This paper cites Score-based generative modeling through stochastic differential equations,.

How to Use Diffusion Priors under Sparse Views? Score-based generative modeling through stochastic differential equations,

Reference 19

Resolution
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raw_fallback, observed 2026-08-11T23:48:28.127808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 70c23fe8-103d-407f-b7ec-e813ab540595 · outbound

This paper cites Analytic-dpm: an analytic estimate of the optimal reverse variance in diffusion probabilistic models,.

How to Use Diffusion Priors under Sparse Views? Analytic-dpm: an analytic estimate of the optimal reverse variance in diffusion probabilistic models,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:28.052212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5566c14c-fb60-4aa9-941e-276002d6aff2 · outbound

This paper cites Denoising diffusion implicit models,.

How to Use Diffusion Priors under Sparse Views? Denoising diffusion implicit models,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.966280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:24.872998Z digest=sha256:25822e8ed42354274ddc54760e31ef90fffdf4af2510ffb0f34c35f0c68b3424

Observation bab2ee41-1906-4881-97c6-a2f8763bdabc · outbound

This paper cites Local light field fusion: Practical view synthesis with prescriptive sampling guidelines,.

How to Use Diffusion Priors under Sparse Views? Local light field fusion: Practical view synthesis with prescriptive sampling guidelines,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.903862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d12203f9-778c-4222-a441-bd0041c2fcab · outbound

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

How to Use Diffusion Priors under Sparse Views? Dreamfusion: Text-to-3d using 2d diffusion,

Reference 23

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raw_fallback, observed 2026-08-11T23:48:27.887783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 87d8b6c6-ae23-40a0-8708-e5987e4e70d4 · outbound

This paper cites Magic123: One image to high-quality 3d object generation using both 2d and 3d diffusion priors,.

How to Use Diffusion Priors under Sparse Views? Magic123: One image to high-quality 3d object generation using both 2d and 3d diffusion priors,

Reference 24

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raw_fallback, observed 2026-08-11T23:48:27.872750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c66660db-f5b6-4078-98eb-d5a869ee4bcb · outbound

This paper cites Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation,.

How to Use Diffusion Priors under Sparse Views? Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation,

Reference 25

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raw_fallback, observed 2026-08-11T23:48:27.856161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8df125d5-74a9-4618-8191-415675b6a987 · outbound

This paper cites Luciddreamer: Towards high-fidelity text-to-3d generation via interval score matching,.

How to Use Diffusion Priors under Sparse Views? Luciddreamer: Towards high-fidelity text-to-3d generation via interval score matching,

Reference 26

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raw_fallback, observed 2026-08-11T23:48:27.839761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:24.900902Z digest=sha256:b9034127b4168e9a4257365d234204f0e18001a90c754eb0bf20439c9e6bef6d

Observation e275f195-5569-4552-be70-fc64cf5a6858 · outbound

This paper cites Novel view synthesis in tensor space,.

How to Use Diffusion Priors under Sparse Views? Novel view synthesis in tensor space,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.822510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0a4887b1-86ea-428e-93cd-a9295066cb57 · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding,.

How to Use Diffusion Priors under Sparse Views? Instant neural graphics primitives with a multiresolution hash encoding,

Reference 28

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raw_fallback, observed 2026-08-11T23:48:27.805973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 319d9185-434a-4e71-9815-a30aacaf34b7 · outbound

This paper cites Plenoxels: Radiance fields without neural networks,.

How to Use Diffusion Priors under Sparse Views? Plenoxels: Radiance fields without neural networks,

Reference 29

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raw_fallback, observed 2026-08-11T23:48:27.749544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.118371Z digest=sha256:26f97114280cc8deb19e521a7e46cf5089314ea4642c1469ff5ab61aac5efd00

Observation f2a57b5b-02bb-41f7-8551-5d3fe25746bc · outbound

This paper cites Tensorf: Tensorial radiance fields,.

How to Use Diffusion Priors under Sparse Views? Tensorf: Tensorial radiance fields,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.664859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.180741Z digest=sha256:069a0fb745452917bddf301c2365f56312cbfaa1f323027e62de77b7cf2df901

Observation 6099370a-4913-4e74-bd01-dcd9aab69d3c · outbound

This paper cites D-nerf: Neural radiance fields for dynamic scenes,.

How to Use Diffusion Priors under Sparse Views? D-nerf: Neural radiance fields for dynamic scenes,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.600964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.244844Z digest=sha256:b553636fc36b4fab060aec8345972b4086daa9a2f07de0f2473b32e40fc52d2e

Observation dfe3f69b-1789-4a70-b846-6d94d65b326f · outbound

This paper cites Nerf in the wild: Neural radiance fields for unconstrained photo collections,.

How to Use Diffusion Priors under Sparse Views? Nerf in the wild: Neural radiance fields for unconstrained photo collections,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.584240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.261981Z digest=sha256:3eec6a13b5a5246c2a5fef34b616421c70759f643b75d693aaaeb0e86ea8b227

Observation 1a4d9925-46b7-4999-b6a5-cf4067e6786c · outbound

This paper cites Block-nerf: Scalable large scene neural view synthesis,.

How to Use Diffusion Priors under Sparse Views? Block-nerf: Scalable large scene neural view synthesis,

Reference 33

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raw_fallback, observed 2026-08-11T23:48:27.567202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.268143Z digest=sha256:c38482bd65fe7716deebd67d9fc0b81623624434a02968cbf9be211da1a4a1ed

Observation ff360688-66d1-4c02-a16d-6a5659b91f76 · outbound

This paper cites Ref-nerf: Structured view-dependent appearance for neural radiance fields,.

How to Use Diffusion Priors under Sparse Views? Ref-nerf: Structured view-dependent appearance for neural radiance fields,

Reference 34

Resolution
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raw_fallback, observed 2026-08-11T23:48:27.551891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.274153Z digest=sha256:4236e51dea0d201e5ccecc4e2b4e00ed3935b9d099bc17fc4b2c2f79c51d5b8f

Observation 0b3955c6-562b-444e-acbc-b5b8c5c0f03e · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields,.

How to Use Diffusion Priors under Sparse Views? Mip-nerf 360: Unbounded anti-aliased neural radiance fields,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.534339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.278974Z digest=sha256:1847f9648c3a7709864278f4870da38cf05ad725b76c129cb3837c04ab836bca

Observation 199ff64f-5f7a-4db6-a3f2-f7c22a907806 · outbound

This paper cites Barf: Bundle-adjusting neural radiance fields,.

How to Use Diffusion Priors under Sparse Views? Barf: Bundle-adjusting neural radiance fields,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.518144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.283682Z digest=sha256:f1cd7c63771f81cefaa22832e86db88be77aa81a595ddc2a5a98212e7ce38752

Observation 6b9c4721-8e52-4009-8cbf-e51fe9afa789 · outbound

This paper cites Neural sparse voxel fields,.

How to Use Diffusion Priors under Sparse Views? Neural sparse voxel fields,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.502611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.288947Z digest=sha256:65101e2d608695af7e0c9cb4c939673c24266e0235739fdb0ee26e18ddc629f4

Observation 81e0dfd6-345e-478f-bab1-04b8baef464d · outbound

This paper cites Drivinggaussian: Composite gaussian splatting for surrounding dynamic autonomous driving scenes,.

How to Use Diffusion Priors under Sparse Views? Drivinggaussian: Composite gaussian splatting for surrounding dynamic autonomous driving scenes,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.486992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.294325Z digest=sha256:f3be27619acb624b8a762b158ab319c5927fc5197716fee5de1cc1bdb268b067

Observation f2fa562d-f024-4b40-aef4-f7efe9801e38 · outbound

This paper cites Splattingavatar: Realistic real-time human avatars with mesh-embedded gaussian splatting,.

How to Use Diffusion Priors under Sparse Views? Splattingavatar: Realistic real-time human avatars with mesh-embedded gaussian splatting,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.469435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.298954Z digest=sha256:90e38437c57f12eaa003f9d53a9a24f98639a645c4649abad3757eca7829d639

Observation a912b85a-950c-44f6-a689-4219e99ea559 · outbound

This paper cites Animatable gaussians: Learning pose-dependent gaussian maps for high-fidelity human avatar modeling,.

How to Use Diffusion Priors under Sparse Views? Animatable gaussians: Learning pose-dependent gaussian maps for high-fidelity human avatar modeling,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.451257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.303194Z digest=sha256:ef645e95448a5546f03637f87fb9799723115c90cf1fc31e8f09b13380178d4a

Observation f32cd202-d023-4521-b93d-f291893449b9 · outbound

This paper cites Hifi4g: High-fidelity human performance rendering via compact gaussian splatting,.

How to Use Diffusion Priors under Sparse Views? Hifi4g: High-fidelity human performance rendering via compact gaussian splatting,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.377513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.308435Z digest=sha256:7cecb957763011677c79abd1c25492e4fdd7f6958229f476b66e0f6edf7fcfc3

Observation af6dfe6d-3131-4951-a1d0-2f88d814f8d4 · outbound

This paper cites Dreamgaussian: Generative gaussian splatting for efficient 3d content creation,.

How to Use Diffusion Priors under Sparse Views? Dreamgaussian: Generative gaussian splatting for efficient 3d content creation,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.239761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.313455Z digest=sha256:2da914b31dc4882b88b9dff3a119c06820f68115cd86115a8ae1cb85be64d6b0

Observation f3754496-da6b-450f-b6cf-7f09c70d2488 · outbound

This paper cites Flipnerf: Flipped reflection rays for few-shot novel view synthesis,.

How to Use Diffusion Priors under Sparse Views? Flipnerf: Flipped reflection rays for few-shot novel view synthesis,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.205257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.318236Z digest=sha256:85b30e484178361f7d4454f5a7e3d337f3c695d90f430e5a2a02269a2490ab2e

Observation cee454be-c236-4e97-ac52-2248f62a122a · outbound

This paper cites Därf: Boosting radiance fields from sparse input views with monocular depth adaptation,.

How to Use Diffusion Priors under Sparse Views? Därf: Boosting radiance fields from sparse input views with monocular depth adaptation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.189607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.342160Z digest=sha256:ed011c05f12e7321fabfdea4594af80ad7ed9aa22f2feea8eaf2113e50eb2b6c

Observation 1449777f-4395-420e-a8cb-1e7dd244f791 · outbound

This paper cites Simplenerf: Regularizing sparse input neural radiance fields with simpler solutions,.

How to Use Diffusion Priors under Sparse Views? Simplenerf: Regularizing sparse input neural radiance fields with simpler solutions,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.174256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.429851Z digest=sha256:cb003f400581c147148ad62bc7f32a3b64d8f93e3511756ff125583c28c13da2

Observation 7410e576-c424-4d65-bd9a-2852de89f7a3 · outbound

This paper cites Geconerf: Few-shot neural radiance fields via geometric consistency,.

How to Use Diffusion Priors under Sparse Views? Geconerf: Few-shot neural radiance fields via geometric consistency,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.159149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.508722Z digest=sha256:94dc21fc05e9d1ab3345b9dda5fe61400cb6f589547f7ac12353b0404aab7cf7

Observation 3fc2e9c6-74b0-4577-9c54-eff5c4fedaa9 · outbound

This paper cites Geoaug: Data augmentation for few-shot nerf with geometry constraints,.

How to Use Diffusion Priors under Sparse Views? Geoaug: Data augmentation for few-shot nerf with geometry constraints,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.142004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.573927Z digest=sha256:c0d81c13d20f058a9d3859861428168983a59c7535b8e2ceaf3b838c2b937ba6

Observation ddf2c465-fc02-43e9-89a0-03adcd8a00bd · outbound

This paper cites Vision transformers for dense prediction,.

How to Use Diffusion Priors under Sparse Views? Vision transformers for dense prediction,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.124072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.603257Z digest=sha256:a10507dbc2f58439eb9e20d1548a3c19973d30c089ff5814b3c01445cb827458

Observation 91d67a35-3058-4460-96d2-b75a7e173984 · outbound

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

How to Use Diffusion Priors under Sparse Views? pixelnerf: Neural radiance fields from one or few images,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.101046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.643333Z digest=sha256:2158d174ea6f6a319c813752faeb53c00c9d152fe99e28462b591d8a5f3ba2b6

Observation 60c376f3-d580-4ee0-9ea7-ae3f63875d87 · outbound

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

How to Use Diffusion Priors under Sparse Views? Zero-1-to-3: Zero-shot one image to 3d object,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:27.026718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.652779Z digest=sha256:f388e9f92d61b7dbd319c80c226eb4128405dcc3a9b64d06ba63360e4430adec

Observation 92e8e4af-97e2-4a38-9b67-7f64f73a9c8d · outbound

This paper cites Zeronvs: Zero-shot 360-degree view synthesis from a single image,.

How to Use Diffusion Priors under Sparse Views? Zeronvs: Zero-shot 360-degree view synthesis from a single image,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.954725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.657447Z digest=sha256:cc75d6fdcc43adcc199df42a8db1bb6caab00a46eed43691d01647514914e47b

Observation 5256fdb5-4d11-4df1-9492-c0665f1da816 · outbound

This paper cites invs: Repurposing diffusion inpainters for novel view synthesis,.

How to Use Diffusion Priors under Sparse Views? invs: Repurposing diffusion inpainters for novel view synthesis,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.936611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.663617Z digest=sha256:98bbc73de4de1305b72fda757a11d7f9348c1dc6a048f59c013985b604700ed1

Observation 18721e8c-960d-4996-b2a4-ffd929e829da · outbound

This paper cites Stable Score Distillation for High-Quality 3D Generation.

How to Use Diffusion Priors under Sparse Views? Stable Score Distillation for High-Quality 3D Generation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T23:48:25.668728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:48:25.668728Z digest=sha256:0273dd23710d3bd172c5f7aa5a7b48a23fbd04b25f0c7e314154488890a627ec

Observation fac3d2d0-1f5b-4d5f-b221-d365d66d0e64 · outbound

This paper cites Large scale multi-view stereopsis evaluation,.

How to Use Diffusion Priors under Sparse Views? Large scale multi-view stereopsis evaluation,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.916811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.674338Z digest=sha256:321909ddb4fce1a596aaf86997f25dd245a7bc2b338d83f59457a04693b01dd6

Observation 890d4fa2-734d-4717-abf1-74c63cb3fc2a · outbound

This paper cites Stereo radiance fields (srf): Learning view synthesis for sparse views of novel scenes,.

How to Use Diffusion Priors under Sparse Views? Stereo radiance fields (srf): Learning view synthesis for sparse views of novel scenes,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.899638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.679162Z digest=sha256:9fa7817f6d067caa80b0787cafed179255458f3734f45d12c9222499d1aa0c46

Observation d57a34b6-85c1-4b8c-be08-b4b25381aacb · outbound

This paper cites Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo,.

How to Use Diffusion Priors under Sparse Views? Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.879857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.684002Z digest=sha256:e99b92029aa0cfb32e1122a592d059595e1733ce8f589efb0e984abc33370353

Observation 36516141-85a7-4084-b97f-36f234cef31e · outbound

This paper cites Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields,.

How to Use Diffusion Priors under Sparse Views? Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.854307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.688390Z digest=sha256:da00c647f18a59f7d4ce6b01b0a8fe55e6c4307326da2bae4dd28f73bfe2b656

Observation 77b5fbad-1dac-4526-b45b-39ea75831bca · outbound

This paper cites Fsgs: Real-time few-shot view synthesis using gaussian splatting,.

How to Use Diffusion Priors under Sparse Views? Fsgs: Real-time few-shot view synthesis using gaussian splatting,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.785747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.692486Z digest=sha256:38d3c2162558df30cc7e729027dcbc1783d5faf169b97c80723fe8571a915161

Observation 39253779-c8ad-4c12-95b9-38dfc9ab9e7e · outbound

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

How to Use Diffusion Priors under Sparse Views? Image quality assessment: from error visibility to structural similarity,

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T23:48:25.696998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:48:25.696998Z digest=sha256:01a49bbe8ef9437649fd7e7dfdde84ec4f1a3254282e19d5ae8e56db38da46fc

Observation 34ddcd74-d10e-4970-8df2-e3e3e0ec5286 · outbound

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

How to Use Diffusion Priors under Sparse Views? The unreasonable effectiveness of deep features as a perceptual metric,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.668705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.702856Z digest=sha256:50137a9be2e735e53d5a762594a75332b486b8431136bf7a0311f9c0e47e656c

Observation 6343c5ea-120f-45ee-9be3-10a34563eff9 · outbound

This paper cites Structure-from-motion revisited,.

How to Use Diffusion Priors under Sparse Views? Structure-from-motion revisited,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.635485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.726733Z digest=sha256:913222cbfd35c88be0ab901452aa271753cde4686e14d29a95bc3144032760d2

Observation 1a29919d-9377-4b9f-a651-394179287cc7 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

How to Use Diffusion Priors under Sparse Views? Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.620134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.762550Z digest=sha256:82664d2e19a128d8365a45a1c3d98d3a4b0c96e2402793a066c2d6a8ab359565

Observation 5f7f30a3-c1ad-4902-8707-ed355f373b58 · outbound

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

How to Use Diffusion Priors under Sparse Views? High-resolution image synthe- sis with latent diffusion models,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.604598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.876983Z digest=sha256:93993310d72f484b1e3eb082b4feecd7a04ab6afcdf52245806f6ddf9efe4da7

Observation 1425ce41-b798-42e1-a828-c49d444aa67b · outbound

This paper cites Cor-gs: sparse-view 3d gaussian splatting via co-regularization,.

How to Use Diffusion Priors under Sparse Views? Cor-gs: sparse-view 3d gaussian splatting via co-regularization,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.588673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.945149Z digest=sha256:b8ead21ce2a89cb84160ef864b4e75f05d2d6afacb312fc22ecd50a38a754d6e

Observation e5dd254d-b65c-4eff-91cc-9277dc895d85 · outbound

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

How to Use Diffusion Priors under Sparse Views? Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.572226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.963941Z digest=sha256:052ff6d5b7b1c4b11e66455a667a381c6a288d55ee806f3421185574a8d4e948

Observation aebff5bb-06a7-48cb-886d-b4c4ba4af766 · outbound

This paper cites Development of an image data set of construction machines for deep learning object detection,.

How to Use Diffusion Priors under Sparse Views? Development of an image data set of construction machines for deep learning object detection,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.556077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:25.984863Z digest=sha256:1b4a6bc1f8419ebd0eec38ea8c19d41e988e31cb485880e381e4de508d5c542f

Observation eb65ae80-a623-49b3-8df0-93acdb149407 · outbound

This paper cites Deep learning image captioning in construction manage- ment: a feasibility study,.

How to Use Diffusion Priors under Sparse Views? Deep learning image captioning in construction manage- ment: a feasibility study,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.541757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:26.009476Z digest=sha256:0f5b1a1ed740daa616e439d68f9ac255dbf12f2dac39446ef4a19bdea0ea5b71

Observation 9bc9e9fe-e770-4fde-b9ca-5edf8b27244a · outbound

This paper cites Stereo magnification: learning view synthesis using multiplane images,.

How to Use Diffusion Priors under Sparse Views? Stereo magnification: learning view synthesis using multiplane images,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.526455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:26.018986Z digest=sha256:2d01ba4d71240344bcccf83f11cd420386419324cd235c03221bf10a8c9ab2f8

Observation 23188708-0866-43ef-b08e-09c7ad5bafd2 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models,.

How to Use Diffusion Priors under Sparse Views? Laion-5b: An open large-scale dataset for training next generation image-text models,

Reference 69

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T23:48:26.510305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:26.027154Z digest=sha256:cb01a0b036c40ebde97aa61bc41306575e015633e60fc76f01fc0636c5bacbe7

Observation de144385-2cf7-401f-bb33-148bf7737c12 · outbound

This paper cites Following RegNeRF [7], FreeNeRF [8], and DNGaussian [9], we only use the selected 15 testing scenes for optimization.

How to Use Diffusion Priors under Sparse Views? Following RegNeRF [7], FreeNeRF [8], and DNGaussian [9], we only use the selected 15 testing scenes for optimization

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.449096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:26.037789Z digest=sha256:e14d46f69ef9666195bb58c4967b2945d2bde96a68b1745fbcb2cc730bcad91f

Observation 73bed718-d77c-4933-bf3c-247f5ea976b9 · outbound

This paper cites Meanwhile, the reported results of 3DGS [2] are also obtained with the SfM [61] initialization which is the same as ours.

How to Use Diffusion Priors under Sparse Views? Meanwhile, the reported results of 3DGS [2] are also obtained with the SfM [61] initialization which is the same as ours

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.369936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:26.046489Z digest=sha256:04ca10bc3e08dffbaa9bdde4527281148b6053884e68764b9a8a80d4f9e7b6cf

Observation aee16219-6655-4fc1-af41-53bbeec654b6 · outbound

This paper cites A.5 Experimental Environments and Computing Resources All the experiments are conducted on a single RTX 3090 with CUDA 11.3.

How to Use Diffusion Priors under Sparse Views? A.5 Experimental Environments and Computing Resources All the experiments are conducted on a single RTX 3090 with CUDA 11.3

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:48:26.275524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:26.053002Z digest=sha256:660d0d5aaaa931e22853bc090bf7f21918216e1c5ae7375635db43ef10573c0e

Observation 47ce9c14-a9e8-4c0a-a288-acabd25ad61e · outbound

This paper cites an unresolved cited work.

How to Use Diffusion Priors under Sparse Views? Unresolved cited work

Reference 73

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T23:48:26.235325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:26.058590Z digest=sha256:a34de977efa4f267c52f3d64857f2d8945636cf3b696f6b599212d42d37fd126

Observation 0eac2af9-5aaf-4966-927b-b451a6f69bd0 · outbound

This paper cites an unresolved cited work.

How to Use Diffusion Priors under Sparse Views? Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:48:26.217316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T23:48:26.064062Z digest=sha256:e062390a64edb82685ab77de9785ef97d14c8a8f5aaf543085e7b278d1a70496

Pith citing papers

Observation 8ec67b66-afe1-4b47-9346-e51d09881a5d · inbound

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges cites this paper.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges How to Use Diffusion Priors under Sparse Views?

Reference 138

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:14:19.142456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T15:14:18.321828Z digest=sha256:e2d763c50a15a8bb6a32381de6c6c9c6b2f0bd2e369502fe323ada0387f401d5