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Paper Citation Record · LEDGER

How to Use Diffusion Priors under Sparse Views?

As of 17 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 2026-08-17T06:30:58.91139+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
  • metadata mismatch0

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 2026-08-17T06:30:58.91139+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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unresolved
no resolver link, observed 2026-08-11T23:48:24.337781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:48:24.337781Z digest=sha256:61c15985788790112c04357060e234251b93f71e62a668c223ff55ed47ffbfd6

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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:24.492950Z digest=sha256:8322da6fe19686e3660c95aaa5c2cef6cb5ff06dbfff6d8396aa6309f9a3f322

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:24.498487Z digest=sha256:300da67783524aa01d7d52778a92a509bc6aed7b3949e525bb8418842ac17309

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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verified fuzzy
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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:24.508913Z digest=sha256:dff513a0bcd8b42d3308ba235a6eb1e83492d8558cdb6632da9c6ffba74a1172

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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verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:24.513859Z digest=sha256:cda14ebdb42996264bfbcfd778ab3ad2e6a0b3cd22673a65c57ebae0861a5791

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

Resolution
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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 2026-08-17T06:30:58.91139+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

Resolution
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:24.659230Z digest=sha256:c1865b3ee4616f32cddc59bbf5604dbac13c4cd8d4a568c533a1b00b4f82a20e

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

Resolution
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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:24.747607Z digest=sha256:f42107a24e45ab264b68db23cb1cd8563c080908dfddf78322e8dd8db72ce290

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:24.810689Z digest=sha256:ad9a226881f58dcfc0b1c572615ff8cc0e2120ae484ee5bde59671ff5f082547

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

Resolution
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raw_fallback, observed 2026-08-11T23:48:28.152909Z

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.

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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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:24.872998Z digest=sha256:3607a21d48cdb1f941f9b67bb5bd230e25632170c3c4576e9b353f742b1fff16

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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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:24.879008Z digest=sha256:a819cdce12bda5465e49d5389a208216e6f31269f0aa3d4cc6fb0e6bfadfcb54

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:24.884130Z digest=sha256:e3d56b88947309ba0137f5757367ff649a218c22801e38c498439cba4047924f

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

Resolution
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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:24.889388Z digest=sha256:d3b087ee24207318c6916096e9b5f08a6aa851e241de93ea33e4e5c568c0881d

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

Resolution
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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:24.895641Z digest=sha256:52585565397dbc633d4cd76d5d278cd218def70cbd0dcb250ced4278292cdca1

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 2026-08-17T06:30:58.91139+00:00.

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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 2026-08-17T06:30:58.91139+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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:24.990355Z digest=sha256:e3bb5caea9cd99e1c370a6cbe4d7c5bd047bd2e4447f941b4da22519de4b21c9

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

Resolution
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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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.118371Z digest=sha256:06e11811ee46fbd355e2dbdf09d9983a7626e5b448dabfccae772aca09a59650

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.180741Z digest=sha256:7ca1e211dcbd1432501915736874ce9ae4bf843832a9ffa187abb6228d311452

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.244844Z digest=sha256:c2a5c0ed8bc91afe08a75cdff16d488fac100de2b781da41271cf638c43fd0df

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.261981Z digest=sha256:2e2baaf92880379fdc85c69f7225ebd33450e5a3d0a0bcef2f4b075dfdb7acb0

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

Resolution
verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.268143Z digest=sha256:d8985383db436c7c571c640362cd5e2cdaac2f93c85d206e6c9e1d860dcc2cb4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.274153Z digest=sha256:08f3cc01df32c7ea35edb29a1652200c116292b8610367245c1a7e1492b358a9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.278974Z digest=sha256:0acf0c97bb747d48e993dbeb066ca6c5d5e3525fa51fcda526bfe046b585aa98

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.283682Z digest=sha256:bd69fe90d9b85030882fa0d2e9c39f5d6f665931e7c297c5aa4ffc6b0ae843a3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.288947Z digest=sha256:cc772c709ed1aa1a0ee3b4d5d4a591a45f5cb4b99be8783d485f6537fd5c1b03

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.294325Z digest=sha256:421fa01d0dd791ea04d4e111e3736fac60d39d56aca64c462d24afad845bec6a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.298954Z digest=sha256:00c5bef79fa65e9a325fe1d5ab2bbe140c84684eaa4e7457a2e6d8db50deff50

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.303194Z digest=sha256:07e7ec5cc3b8d12c85152d713ccf0e4cb87b3f75d479b5899d3ef8ea784e39fe

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.308435Z digest=sha256:12fca3c9c0262352a32285271d2c9f0e71a8d49805ee1895846befa05c3e014b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.313455Z digest=sha256:0280f4b3ad33960072bf61a8443890dc5feacb972e04f8ad8018eed82afdd3c7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.318236Z digest=sha256:97db6c26a736dbebe9ef835066bb46324658dd570ab25b06362030a0b6d0a4fd

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.342160Z digest=sha256:a2a72dd3ad4ec799c58078b58573d90643c162732635c8939d8631c5b689ebd3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.429851Z digest=sha256:20891ce963fe02f72bb36c2aafb84c598e08dda5f54cfab368e29562e9cd819b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.508722Z digest=sha256:2c86e5ad2d264bcd8d633d976a1026fe373e94c9020e653adb0120ec9eeec1ee

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.573927Z digest=sha256:96ada98a6974045e6c238c1ac8fcb721964f7e6d6350ce3bf3f4a2dd8ae71c13

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.603257Z digest=sha256:8de828767436fe09b5d39376b6f20ed586afb6be897b532452ae0d13639fc2e1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.643333Z digest=sha256:937227e0fc9e5accb669e2611626745a21a87845a796d2c499fc047c06b6f0f4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.652779Z digest=sha256:6c11a60a8e243245962745155dfa57ee629c0d4bcefbf92f5743cf982839b046

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.657447Z digest=sha256:390de6ba45470196ffbbf8a60bc32900294ec38a0ac798145232961e4ab1ee22

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.663617Z digest=sha256:82d7427f0b644c658937d7233dbfd3bc9dcd301bfb102f51038473de4bc8a22b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.674338Z digest=sha256:92d02214cf1426a8759d08e5d6f840e46bd5bf0df092ccabd19b699d6ee66ae8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.679162Z digest=sha256:f225e861d6b62ea83355984c61bd29c188d8a25ef05381c800680b78625a304e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.684002Z digest=sha256:ab0aa63bcae334f5fa25d354d4529aa90180e13e788ec765fe4ecebd5af783f9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.688390Z digest=sha256:76d9bb28cdba21bf0a3db53ebc887da9b2a9193ea6ddc0efb00214f51f16bc8c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.692486Z digest=sha256:93efe3498cc37ff27fa7f4c4bd25f49315b61d43fed7edeb9f79c8ff1227f2b8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.702856Z digest=sha256:6aa88c42bb4330af5d804fe388cccd095ba643b64ee4250d56ccbc19a43654b8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.726733Z digest=sha256:308a6876ad6b038de009b1f95df4a4e70defa6a669e9a3dc8ba268c390eb2ae5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.762550Z digest=sha256:c38ffdf6a5df0b20bea0c6d4c7aceedafef0c18e16fbadf819eaea67447e1d21

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.876983Z digest=sha256:6c32b678104dc194bee69f6d170884cc16b8d18bae4e82d7de885aed7068fd2e

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.945149Z digest=sha256:df555aeef4f32e649f22b3d95e37ea71384f7c844484770718d2eef2b34cc87c

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.963941Z digest=sha256:69d5d251914fad505d956fb9fcf4142e3e5a0d015108528b437902763f6d41f1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:25.984863Z digest=sha256:921563e2639c85cf807e8d3e0957eaa602b228a0f20a7f0155ccb1d0fd3b6ef2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:26.009476Z digest=sha256:c7a21eae51b4a15300f11952457c8f888d42de258f8666c2267d6ec3e426995b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:26.018986Z digest=sha256:b72846bb2177a1092cb38f885ea7dc5ab4d9bfba577fd5d8142c7cce6ca1c326

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:26.027154Z digest=sha256:5fc2cd4e7ef84172238d2bd42f081180bd46d3d4154d63828735dc6214edc316

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:26.037789Z digest=sha256:de426a792ecff85cb4e9280e1b7c7f35aee7c743c9e3c775fb30882b78313055

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:26.046489Z digest=sha256:d20dec19b5f3d5a9bc49ec3aca9fa60a6f33aa57aa05aca41d0c1f2447f13175

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:26.053002Z digest=sha256:990024a8d7413917ef915640c5835e65f8a6d3c47c8ac6e09048b791b0ed86b3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:26.058590Z digest=sha256:d18bf47b8ea7103c6beaab488e51c28aac33a298f61f83dd34a13565130ff7a7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-11T23:48:26.064062Z digest=sha256:8c4a88f65a05846bbb7320fe9996b061ec7c50a45a67b62d61ace55fe600678c

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

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

source=pdf_text observed=2026-08-06T15:14:18.321828Z digest=sha256:0b2b63163668cbeb75bfec15b5f8f485d9c9705cf32bb93b85ae0412929e6098