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Paper Citation Record · LEDGER

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges

As of 21 August 2026, this Paper Citation Record lists 100 of 204 outbound references and 2 inbound Pith citation observations for arXiv:2507.16406.

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

pith.paper-citation-record.v1
2507.16406 v1

Coverage vector

measured 100 of 204 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:14:18.196146Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T09:13:52.374749Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:46:37.474405Z

Reference resolution

100 of 204 outbound references displayed

  • verified exact18
  • verified fuzzy0
  • unresolved82
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a8b3b20-803b-46fa-846f-6a4a5bde8319 · outbound

This paper cites Structure-from-motion revisited,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Structure-from-motion revisited,

Reference 1

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Observation e478edf6-2a81-4f4f-816a-2bd40823afb4 · outbound

This paper cites Pixelwise view selection for unstructured multi-view stereo,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Pixelwise view selection for unstructured multi-view stereo,

Reference 2

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source=pdf_text observed=2026-08-06T15:14:17.832014Z digest=sha256:c3e1cc0fd58b1a26b4804119ae82e7b1c5352db432919b9d188ba124864243e8

Observation 6ae9607b-08ee-4bcc-b8e4-da2dc9a97a32 · outbound

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

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fields

Reference 3

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ec20d7fc-0062-4c64-b380-383e627f5f8e · outbound

This paper cites Deep-learning-based 3-d surface reconstruction—a survey,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Deep-learning-based 3-d surface reconstruction—a survey,

Reference 4

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Observation b0d4aecc-6aa5-4246-a922-51c9fe2ead89 · outbound

This paper cites Multi- view 3d reconstruction based on deep learning: A survey and comparison of methods,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Multi- view 3d reconstruction based on deep learning: A survey and comparison of methods,

Reference 5

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Observation da98e23e-e55b-46d9-9075-0a8da6670b84 · outbound

This paper cites Recent advances in 3d gaussian splatting,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Recent advances in 3d gaussian splatting,

Reference 6

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Observation 7d489e3f-1831-433e-be42-89e755e89d21 · outbound

This paper cites A review on 3d gaussian splatting for sparse view reconstruction,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges A review on 3d gaussian splatting for sparse view reconstruction,

Reference 7

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Observation c17a661e-367d-4bd2-9ded-81802ff0917d · outbound

This paper cites Point Cloud Densification for 3D Gaussian Splatting from Sparse Input Views,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Point Cloud Densification for 3D Gaussian Splatting from Sparse Input Views,

Reference 8

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Observation f873d805-c18d-4a78-aad5-f263a30bfc4a · outbound

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

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 9

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source=pdf_text observed=2026-08-06T15:14:17.859059Z digest=sha256:2d16bb12cda2f9d535cca29c22e6660c2ec150a4d39d65ce71096f56bcd3b726

Observation 4c94e391-c7f7-4e00-9d1e-edca05b7b6cf · outbound

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

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges 3d gaussian splatting for real-time radiance field rendering,

Reference 10

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Observation 74a28343-f6a8-401e-871b-665e0e7a3f4d · outbound

This paper cites SparseNeRF: Dis- tilling Depth Ranking for Few-shot Novel View Synthesis,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges SparseNeRF: Dis- tilling Depth Ranking for Few-shot Novel View Synthesis,

Reference 11

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Observation 666b1356-7efc-4e48-b1fc-fd0fd3e3c0bb · outbound

This paper cites ZeroRF: Fast Sparse View 360{\deg} Reconstruction with Zero Pretraining.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges ZeroRF: Fast Sparse View 360{\deg} Reconstruction with Zero Pretraining

Reference 12

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local_arxiv, observed 2026-08-06T15:14:19.678297Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 669bc4c0-7477-46bf-b118-b836adeb06a6 · outbound

This paper cites DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization,

Reference 13

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Observation c099be00-913a-4112-853e-c84989a6b855 · outbound

This paper cites Sparsecraft: Few- shot neural reconstruction through stereopsis guided geometric linearization,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Sparsecraft: Few- shot neural reconstruction through stereopsis guided geometric linearization,

Reference 14

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Observation 270cef5a-d835-48f9-944d-486ca976c5a9 · outbound

This paper cites PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting

Reference 15

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local_arxiv, observed 2026-08-06T15:14:19.665690Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 593270f1-d6b2-4f65-a99a-1fa4f71a28fc · outbound

This paper cites InstantSplat: Sparse-view Gaussian Splatting in Seconds.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges InstantSplat: Sparse-view Gaussian Splatting in Seconds

Reference 16

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Observation 1f0aa988-7bb2-4e51-8a73-19c82306e1d6 · outbound

This paper cites COLMAP-Free 3D Gaussian Splatting,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges COLMAP-Free 3D Gaussian Splatting,

Reference 17

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Observation 01ae8a34-e463-492c-bb35-12aa1898b862 · outbound

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

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Cor-gs: sparse-view 3d gaussian splatting via co- regularization,

Reference 18

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Observation f26fcea5-ec96-4812-9199-85278ef7eab7 · outbound

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

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Fsgs: Real-time few-shot view synthesis using gaussian splatting,

Reference 19

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Observation 78468840-a3f2-4042-bc8a-9cce2df0f7bb · outbound

This paper cites Denoising diffusion probabilistic models,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Denoising diffusion probabilistic models,

Reference 20

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Observation 1bc0cc8c-a0bd-4d6e-954a-328ea9316896 · outbound

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

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Cat3d: Create anything in 3d with multi-view diffusion models,

Reference 21

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Observation e8e8e368-f510-4094-9af8-4db8e56796c2 · outbound

This paper cites Gaussian splatting decoder for 3d-aware generative adversarial networks,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Gaussian splatting decoder for 3d-aware generative adversarial networks,

Reference 22

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Observation 3e91fb09-fd0c-441f-9a9e-af106af8e904 · outbound

This paper cites Mv-dust3r+: Single-stage scene reconstruction from sparse views in 2 seconds,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Mv-dust3r+: Single-stage scene reconstruction from sparse views in 2 seconds,

Reference 23

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Observation 6f2a9158-68cc-4dd8-b5bb-b78c4a61d5b9 · outbound

This paper cites NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruc- tion,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruc- tion,

Reference 24

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Observation f9c00087-9951-4f30-a6c4-db9c4547189f · outbound

This paper cites 3dfires: Few image 3d reconstruction for scenes with hidden surfaces,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges 3dfires: Few image 3d reconstruction for scenes with hidden surfaces,

Reference 25

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Observation ea3a355e-1b2b-423f-bbf1-ab929e17aeb6 · outbound

This paper cites A Semantically Aware Multi-View 3D Reconstruction Method for Urban Applications,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges A Semantically Aware Multi-View 3D Reconstruction Method for Urban Applications,

Reference 26

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Observation 57072e5a-67ec-4222-9f0e-32115ce0ccb9 · outbound

This paper cites 3-D Reconstruction from Sparse Views using Monocular Vision,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges 3-D Reconstruction from Sparse Views using Monocular Vision,

Reference 27

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Observation 0d0a9b67-219f-4f7e-baaa-2c4e03864c15 · outbound

This paper cites Single and sparse view 3D recon- struction by learning shape priors,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Single and sparse view 3D recon- struction by learning shape priors,

Reference 28

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Observation 6ac8ad10-c74f-4404-8255-49c44d0011bc · outbound

This paper cites Planar surface re- construction from sparse views,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Planar surface re- construction from sparse views,

Reference 29

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:17.929180Z digest=sha256:048cc512568aa2434c9b26a9202b9d8fa8c4198ad57d6cb392c5e07bba025d53

Observation 4d382d69-920e-4f86-8caf-71154bb2f38a · outbound

This paper cites Matterport3d: Learning from rgb-d data in indoor environments,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Matterport3d: Learning from rgb-d data in indoor environments,

Reference 30

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Observation d6249964-a4b4-47d3-8cec-a55f12b61f55 · outbound

This paper cites Neural 3D reconstruction from sparse views using geometric priors,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Neural 3D reconstruction from sparse views using geometric priors,

Reference 31

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Observation 1345cfce-2e05-439f-b7b4-f197d08cf745 · outbound

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

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges pixelnerf: Neural radiance fields from one or few images,

Reference 32

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Observation c2575966-28f0-4296-8fbe-e667c2b5622b · outbound

This paper cites Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes,

Reference 33

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Observation c4317289-ea92-469b-823e-1770cffb1014 · outbound

This paper cites Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Dust to Tower: Coarse-to-Fine Photo-Realistic Scene Reconstruction from Sparse Uncalibrated Images

Reference 34

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Observation ef58021c-a419-48f2-b8fa-3af022a15bd1 · outbound

This paper cites Gs4: Gen- eralizable sparse splatting semantic slam,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Gs4: Gen- eralizable sparse splatting semantic slam,

Reference 35

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raw_fallback, observed 2026-08-06T15:14:19.639904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:14:17.949861Z digest=sha256:17af32f7a581ed6e5e19d34f923a807a4edbfff1b26c050a7e6e1bf4059c7563

Observation a74ac70d-34ef-4f7c-bd3b-a12abbd6c2f4 · outbound

This paper cites Accurate and efficient stereo processing by semi-global matching and mutual information,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Accurate and efficient stereo processing by semi-global matching and mutual information,

Reference 37

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source=pdf_text observed=2026-08-06T15:14:17.958039Z digest=sha256:e40c5853f07256793c79d2843152f7fd8e4e1f03026f6dbda5a84ced56aa7dcd

Observation 736ed906-45e5-47f3-99de-fe58ee80733e · outbound

This paper cites Directed ray distance functions for 3d scene reconstruction,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Directed ray distance functions for 3d scene reconstruction,

Reference 38

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source=pdf_text observed=2026-08-06T15:14:17.962468Z digest=sha256:4d8cb32b68ed0825338b411d260f266cdd1852152cd8584959f77f049c77499a

Observation 606c0652-7cf5-470c-b855-1ddf98d40cef · outbound

This paper cites Vision transformers for dense prediction,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Vision transformers for dense prediction,

Reference 39

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source=pdf_text observed=2026-08-06T15:14:17.966729Z digest=sha256:dc0a41c78147ab9525f9a41fd7bde2faf91c283ee1f9fa4987e7624dc71256bb

Observation 810f95e0-2fc6-4c83-9413-87b242334c6f · outbound

This paper cites Geometry-free view synthesis: Transformers and no 3d priors,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Geometry-free view synthesis: Transformers and no 3d priors,

Reference 40

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source=pdf_text observed=2026-08-06T15:14:17.970650Z digest=sha256:9db3fdd72f52b61b1b8d1e1ec2a98088fec6d38643f4e89933233b03c31e5cb8

Observation 7984893d-b2c9-49e5-a832-287d5fc20172 · outbound

This paper cites Hartley and A.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Hartley and A

Reference 41

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no resolver link, observed 2026-08-06T15:14:17.973918Z

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source=pdf_text observed=2026-08-06T15:14:17.973918Z digest=sha256:1f7256c6f6b08ba81f62180643965bd36737d2bf34383a96bc707fae1657d616

Observation 8972c93e-fa27-4cf9-abfe-f830ec83df84 · outbound

This paper cites 3d clothed human reconstruction from sparse multi- view images,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges 3d clothed human reconstruction from sparse multi- view images,

Reference 42

Resolution
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no resolver link, observed 2026-08-06T15:14:17.977078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:17.977078Z digest=sha256:9f7c3b72e64381a2c48dc2247cca9dcf9a96d56c8ea5a78870245d78726722ae

Observation 07eea612-187b-40c1-bc99-673f4dcf1d3c · outbound

This paper cites Pvp-recon: Progressive view planning via warping consistency for sparse-view surface reconstruction,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Pvp-recon: Progressive view planning via warping consistency for sparse-view surface reconstruction,

Reference 43

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no resolver link, observed 2026-08-06T15:14:17.980115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:17.980115Z digest=sha256:0e45c97a32259455c66fadefae752f9d0b6537fd7bd59360260169bbb220ed2a

Observation 189a8251-9919-4b8b-a048-5c486bd33c40 · outbound

This paper cites RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs,

Reference 44

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no resolver link, observed 2026-08-06T15:14:17.984126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:17.984126Z digest=sha256:506b5a62c367b3cf7825565ed1e328e698cd7bab32d329bc02ffb3e9ad5d2248

Observation d2b3eb7f-2f27-42f1-931a-0d288fc1139f · outbound

This paper cites Density estimation using real nvp,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Density estimation using real nvp,

Reference 45

Resolution
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no resolver link, observed 2026-08-06T15:14:17.987898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:17.987898Z digest=sha256:eaee0cdb52b9c2ab9fa53d007028ba6033976d34dcd9a077357ce8aec6670a8a

Observation 59fb6eea-50e4-4d21-84c3-98245c3cfb35 · outbound

This paper cites FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T15:14:17.991206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:17.991206Z digest=sha256:204fa5892c9c74e545d23e731dca87f75ba227f36dc2362af70690b15daf7447

Observation a2105036-49a9-4345-a4c2-87bb51b6a4ea · outbound

This paper cites Fast Sparse View Guided NeRF Update for Object Reconfigurations.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Fast Sparse View Guided NeRF Update for Object Reconfigurations

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:14:19.505790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:14:17.995502Z digest=sha256:48f9793019d0f46d913fe7a2fb1ace3933f7bb2270791f3effdc1628edd62596

Observation b30e620a-c3b4-4435-81c0-4a1cd9b6ba91 · outbound

This paper cites As-nerf: Learning auxiliary sampling for generalizable novel view syn- thesis from sparse views,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges As-nerf: Learning auxiliary sampling for generalizable novel view syn- thesis from sparse views,

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:17.998989Z digest=sha256:349b7f38170ec940e21228d55e564fbf94988e5cd7b184e557dd28ea6410b5ad

Observation d2419203-3c2b-472f-ada7-c5bb56af7bf3 · outbound

This paper cites SC-NeRF: Self-Correcting Neural Radiance Field with Sparse Views.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges SC-NeRF: Self-Correcting Neural Radiance Field with Sparse Views

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T15:14:18.002724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.002724Z digest=sha256:ed59f2ca0099751a6db06825870eb0a913a1e5b051d435e180e98b856a4ceac8

Observation 3c813469-3e04-4bc4-9617-49065b65072b · outbound

This paper cites Sparse- derf: Deblurred neural radiance fields from sparse view,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Sparse- derf: Deblurred neural radiance fields from sparse view,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T15:14:18.006757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.006757Z digest=sha256:6a3ff6361f42749a97aa1cbfa15f0626474194ebf8b573c9e484c7a96015a94a

Observation 41368db6-3e90-4e75-9142-8b1a6d0f14d7 · outbound

This paper cites Dense Depth Priors for Neural Radiance Fields from Sparse Input Views,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Dense Depth Priors for Neural Radiance Fields from Sparse Input Views,

Reference 51

Resolution
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no resolver link, observed 2026-08-06T15:14:18.009825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.009825Z digest=sha256:630639e140ee13e107cad16f7556e115471073c9ffe4788c519d355f83e742fc

Observation 3c1adb1e-eafa-435b-af87-01e63a2e6c8b · outbound

This paper cites Depth-supervised NeRF: Fewer Views and Faster Training for Free,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Depth-supervised NeRF: Fewer Views and Faster Training for Free,

Reference 52

Resolution
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no resolver link, observed 2026-08-06T15:14:18.012716Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:14:18.012716Z digest=sha256:8ec02d7380684656fe33d5c4c8ad41ccd21cfde4f21d53eeee80040df4143bad

Observation 7309d0a0-8bc6-4cf7-87d4-fe007a7d2bb9 · outbound

This paper cites Sparsesat-nerf: Dense depth super- vised neural radiance fields for sparse satellite images,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Sparsesat-nerf: Dense depth super- vised neural radiance fields for sparse satellite images,

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T15:14:18.015921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.015921Z digest=sha256:29e883059c1457bc14969d22e2cd7a29190dace7378424812eba30050c0c98b7

Observation 0c21b207-7ac0-4f1a-ba62-dbd68eb4578e · outbound

This paper cites Ibrnet: Learning multi-view image-based rendering,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Ibrnet: Learning multi-view image-based rendering,

Reference 54

Resolution
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no resolver link, observed 2026-08-06T15:14:18.019139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.019139Z digest=sha256:ec65cdd3c0ac5678821b4b13b7256a1b6ecbecb26f1a6a029a4bbc4506d32cbf

Observation 84941d1e-59ce-4cba-bceb-4edfee4148f5 · outbound

This paper cites X-nerf: Explicit neural radiance field for multi- scene 360deg insufficient rgb-d views,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges X-nerf: Explicit neural radiance field for multi- scene 360deg insufficient rgb-d views,

Reference 55

Resolution
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no resolver link, observed 2026-08-06T15:14:18.022813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.022813Z digest=sha256:c1ed9b91eb7dc862590eb360553a0a7f9eca0ed24a90ea0447e7f40221431dc4

Observation 4a1f1d5a-e370-4b8e-bd4d-391784468502 · outbound

This paper cites 6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges 6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:14:19.487105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:14:18.025898Z digest=sha256:b0d01059d7df3b1349501b5fa51535eb1b7d11a48f4d6ccf2a9992b3a688d6e3

Observation 298d40eb-b69f-45a4-ae87-11b3e2a79059 · outbound

This paper cites Ners: Neural reflectance surfaces for sparse-view 3d reconstruction in the wild,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Ners: Neural reflectance surfaces for sparse-view 3d reconstruction in the wild,

Reference 57

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.029846Z digest=sha256:f33128b8d36bdd38c264688243c16c061c6ed402756f28cececf535e99070e6b

Observation 147389b3-1899-4df8-be38-bdb706662a12 · outbound

This paper cites Is vanilla mlp in neural radiance field enough for few-shot view synthesis?.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Is vanilla mlp in neural radiance field enough for few-shot view synthesis?

Reference 58

Resolution
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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:14:18.033921Z digest=sha256:dff9a85d24be8fe7c638c844618914b4be92de3b458e3a070877a7ed728973df

Observation 75db5759-8c3e-4480-afb8-df44c96f84a5 · outbound

This paper cites Cmc: few-shot novel view synthesis via cross-view multiplane consistency,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Cmc: few-shot novel view synthesis via cross-view multiplane consistency,

Reference 59

Resolution
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no resolver link, observed 2026-08-06T15:14:18.036910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.036910Z digest=sha256:7b0b37f4dc8715a79bb827cc9b5a02f5d407db764b9babfdc2a45407f74ea633

Observation 8fbc7b08-b1e7-4935-8916-87ee38feb879 · outbound

This paper cites Cvt-xrf: Contrastive in-voxel transformer for 3d consistent radiance fields from sparse inputs,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Cvt-xrf: Contrastive in-voxel transformer for 3d consistent radiance fields from sparse inputs,

Reference 60

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.039954Z digest=sha256:b46c2400f821a1dae8a2d7bbf76506dbdc5fab819eb1a1ef9cfd6d85a4f79070

Observation 54d0cbf6-c33f-456e-85c9-ac91fddd8f5a · outbound

This paper cites Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:14:19.476557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:14:18.043770Z digest=sha256:d59d26ca755bcd3ed572881a0581cd5a1311ee317c986a014fce1f4b98577013

Observation 13848bdb-0588-4e43-900f-b1cad04a5d84 · outbound

This paper cites Nerf-or: neural radiance fields for operating room scene recon- struction from sparse-view rgb-d videos,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Nerf-or: neural radiance fields for operating room scene recon- struction from sparse-view rgb-d videos,

Reference 62

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.046784Z digest=sha256:1b0158812f76346923a8e1384c9892f967a988ccf3558760bd72261d14a62b12

Observation 399088e8-7247-4f95-b86b-394ce9236f20 · outbound

This paper cites Repurposing diffusion-based image gener- ators for monocular depth estimation,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Repurposing diffusion-based image gener- ators for monocular depth estimation,

Reference 63

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.050026Z digest=sha256:09acd1738c0b4f2bf71cac93a75bd2dfe96d0238eecacce601526b31fb527a96

Observation 80d4bfcb-62e8-4faf-a19a-013de8d265b9 · outbound

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

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges D ¨arf: Boosting radiance fields from sparse input views with monocular depth adaptation,

Reference 64

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no resolver link, observed 2026-08-06T15:14:18.053771Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:14:18.053771Z digest=sha256:da7d945090a9f444d8a010b4d73246f563262fe70a26f6dea523e275e32eae0e

Observation 5901cafd-598c-4c08-bfc0-cb043d936599 · outbound

This paper cites DiViNeT: 3D Reconstruction from Disparate Views via Neural Template Regularization.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges DiViNeT: 3D Reconstruction from Disparate Views via Neural Template Regularization

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:14:19.465912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:14:18.057742Z digest=sha256:c2c5528b34d1e0ff90b92106d5b94ee194478263a9cbeeed30b757e4e732effb

Observation a554aca5-f189-44e6-96b0-04af9609650c · outbound

This paper cites Regularizing Neural Radiance Fields from Sparse Rgb-D Inputs,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Regularizing Neural Radiance Fields from Sparse Rgb-D Inputs,

Reference 66

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no resolver link, observed 2026-08-06T15:14:18.060928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.060928Z digest=sha256:5895686b24585d611487266f52487a5c33bbbf4be56d072af796a007bc2cf76d

Observation 8019c0bd-f9ed-49bf-90ce-7d99b58d70c2 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Very deep convolutional networks for large-scale image recognition,

Reference 67

Resolution
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no resolver link, observed 2026-08-06T15:14:18.064126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.064126Z digest=sha256:e598b32dd15f2fce91be7cdc0d8b9b27d6d33b7d9f06293fad2f48e7e7056a2a

Observation d96122da-3ad9-4fc3-b413-5b78c0267fda · outbound

This paper cites Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:14:19.454538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:14:18.067778Z digest=sha256:f3e61bdf2b8c00c132297aac4fa6871d33b8e15c478688b6629fd65a48b9b562

Observation 640e067c-42c3-49a9-8289-11ad4454b411 · outbound

This paper cites HG3-NeRF: Hierarchical Geometric, Semantic, and Photometric Guided Neural Radiance Fields for Sparse View Inputs.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges HG3-NeRF: Hierarchical Geometric, Semantic, and Photometric Guided Neural Radiance Fields for Sparse View Inputs

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:14:19.441342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:14:18.071313Z digest=sha256:a5bf2e05a6f68298d91ebcf1d164e8bb13eb41aa36a989a19e62f25967a86c6e

Observation 8f99de22-2567-40c0-995a-04cf66a42754 · outbound

This paper cites ViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fields,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges ViP-NeRF: Visibility Prior for Sparse Input Neural Radiance Fields,

Reference 70

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.076431Z digest=sha256:425ecc4f7dd44ba9315ec7201e4064d0c22fc270aaeebf4870eb9961521117f8

Observation 7aac0bb2-c5ec-4cf5-83b0-98d4a895184f · outbound

This paper cites SimpleNeRF: Regularizing Sparse Input Neural Radiance Fields with Simpler Solutions,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges SimpleNeRF: Regularizing Sparse Input Neural Radiance Fields with Simpler Solutions,

Reference 71

Resolution
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no resolver link, observed 2026-08-06T15:14:18.080778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.080778Z digest=sha256:09e6a1c9d950d8fb1f4b0d4432515c482e725c594ac26aa195ed605649f00bf0

Observation 0fd51ecf-6ca1-48d3-81b7-d7384f0adad7 · outbound

This paper cites ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:14:19.429441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:14:18.083945Z digest=sha256:def293b00448764bb0ec4940c13a91092aa021f0f6823d79100cdb78cbb94d15

Observation 464927cd-4148-4f90-888f-c09307470734 · outbound

This paper cites VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs

Reference 73

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:14:19.418729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:14:18.087953Z digest=sha256:5495f475b7fd88451e2ec650d80fb0fc34f947612e1fb471be08047c7bb5cabf

Observation 8cd552b0-464a-4c91-8655-91b7f34dcfd4 · outbound

This paper cites Spatial annealing for efficient few-shot neural rendering,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Spatial annealing for efficient few-shot neural rendering,

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T15:14:18.092187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.092187Z digest=sha256:3d223bbec0fc4c8ae61827601bb07a923f35dcdbc46957bc57c6a2076e95810c

Observation 6ac30cb9-53cb-49b1-a640-b15ba27ccc30 · outbound

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

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Freenerf: Improving few- shot neural rendering with free frequency regularization,

Reference 75

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source=pdf_text observed=2026-08-06T15:14:18.095786Z digest=sha256:fd48bdb30e170adcff734b925d7dee084b456a42bcac57b39323540e09242806

Observation 94a5a52e-58d4-4d29-b064-084de528033d · outbound

This paper cites FrameNeRF: A Simple and Efficient Framework for Few-shot Novel View Synthesis.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges FrameNeRF: A Simple and Efficient Framework for Few-shot Novel View Synthesis

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:14:19.406679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:14:18.099509Z digest=sha256:e0730afa015cff3b9fbfdd75dcc078360f508f201e91f6959b3587f3d52af60b

Observation e8a8736f-c40e-43d6-9731-73435e190f0d · outbound

This paper cites Tensorf: Tensorial radiance fields,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Tensorf: Tensorial radiance fields,

Reference 77

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no resolver link, observed 2026-08-06T15:14:18.102937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.102937Z digest=sha256:a7088a0b5f66be5cebf0bac027c3d224a56d96be36bb7c38afbd19682457f4a4

Observation afdeb8b5-0109-4f04-80bf-5616ea28ab3b · outbound

This paper cites Arc- nerf: Area ray casting for broader unseen view coverage in few- shot object rendering,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Arc- nerf: Area ray casting for broader unseen view coverage in few- shot object rendering,

Reference 78

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no resolver link, observed 2026-08-06T15:14:18.106016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.106016Z digest=sha256:a97644908e1f9e91548a3efa15bb9f42fcc7c4009b115308c3f7fa46256920bb

Observation 28284eae-e68c-4959-a80e-850ecd4f2e41 · outbound

This paper cites Few-shot neural radiance fields under unconstrained illumination,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Few-shot neural radiance fields under unconstrained illumination,

Reference 79

Resolution
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no resolver link, observed 2026-08-06T15:14:18.110359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.110359Z digest=sha256:382d770ff733b0500fb867c07b1212607624f07e64bed257aab51b72a1673780

Observation 429905a1-9f82-4c44-8492-d40ed01c9dbb · outbound

This paper cites Caesarnerf: Calibrated semantic representation for few-shot generalizable neural rendering,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Caesarnerf: Calibrated semantic representation for few-shot generalizable neural rendering,

Reference 80

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unresolved
no resolver link, observed 2026-08-06T15:14:18.114304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.114304Z digest=sha256:967024d3ba66ca62b2bb21df2c93ee9e3bb325a31c3b4be5dd802941815129c7

Observation 39aa5c3f-3b1b-4ef1-9b48-502010ca8517 · outbound

This paper cites ManifoldNeRF: View-dependent Image Feature Supervision for Few-shot Neural Radiance Fields.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges ManifoldNeRF: View-dependent Image Feature Supervision for Few-shot Neural Radiance Fields

Reference 81

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:14:19.395384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:14:18.117519Z digest=sha256:f1836ad8272759f76da5c639f6be1ea443ba725fcdf58eb3d305dde5e1ed53a3

Observation c069d4e1-a891-44c4-9df3-04ecb08744f9 · outbound

This paper cites Frugalnerf: Fast convergence for extreme few-shot novel view synthesis without learned priors,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Frugalnerf: Fast convergence for extreme few-shot novel view synthesis without learned priors,

Reference 82

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no resolver link, observed 2026-08-06T15:14:18.124846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.124846Z digest=sha256:583e3859952d5942dbbb400028c6065699619654ab7b9a2924e3260fa26d5fa4

Observation cec64c43-9722-4a6e-8dd5-26be2eccbb9f · outbound

This paper cites Neo 360: Neural fields for sparse view synthesis of outdoor scenes,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Neo 360: Neural fields for sparse view synthesis of outdoor scenes,

Reference 83

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no resolver link, observed 2026-08-06T15:14:18.129175Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:14:18.129175Z digest=sha256:f760fb7d8a1d50160989a3409c7684a418f206545cb38166c6c9a78112b91690

Observation f5484850-32da-4e45-8eab-68555c846bf3 · outbound

This paper cites LEAP: Liberate Sparse-view 3D Modeling from Camera Poses.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges LEAP: Liberate Sparse-view 3D Modeling from Camera Poses

Reference 84

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no resolver link, observed 2026-08-06T15:14:18.133093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.133093Z digest=sha256:008f806bd0731fbe79643a910865b4a2a9b14907c33b431a2f77c13adbbbd3e9

Observation 8424b2ba-d0a6-48dc-af84-8d92fffd30ba · outbound

This paper cites Sparsepose: Sparse-view camera pose regression and refinement,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Sparsepose: Sparse-view camera pose regression and refinement,

Reference 85

Resolution
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no resolver link, observed 2026-08-06T15:14:18.137068Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:14:18.137068Z digest=sha256:5ae6fe04d4235996030b62a65c39ea176b149c1b82e976088b3de69c8a0eb261

Observation d7d33b11-34c8-4937-bbef-7ed1a596d4cc · outbound

This paper cites Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis

Reference 86

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:14:19.376106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:14:18.140994Z digest=sha256:d0a726f9fc8a7121efb63a2025c94b313bd0807defe25dcc375e9caeeb5605e7

Observation 34617802-4d0a-4403-9549-589bee7746e3 · outbound

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

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Barf: Bundle- adjusting neural radiance fields,

Reference 87

Resolution
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no resolver link, observed 2026-08-06T15:14:18.145066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.145066Z digest=sha256:995d3656c408acfa500d9c51a0c3d9a19e7ff7fc645a45d13c4fcba689b7f6fe

Observation 0d950fcb-520a-4a38-a744-3be73e35b45b · outbound

This paper cites Mixnerf: Modeling a ray with mixture density for novel view synthesis from sparse inputs,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Mixnerf: Modeling a ray with mixture density for novel view synthesis from sparse inputs,

Reference 88

Resolution
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no resolver link, observed 2026-08-06T15:14:18.149044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.149044Z digest=sha256:d67c8504eafae187489052051d44158c1dbb25688c82a1addff7fe0f2107f105

Observation 9ef6a373-9fb6-4457-bbff-3574ca3b7a07 · outbound

This paper cites PANeRF: Pseudo-view Augmentation for Improved Neural Radiance Fields Based on Few-shot Inputs.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges PANeRF: Pseudo-view Augmentation for Improved Neural Radiance Fields Based on Few-shot Inputs

Reference 89

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:14:19.363249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:14:18.151873Z digest=sha256:7a147b1829e7431462422661905197323e108cc359e3805b5a8d79b36e9db1fe

Observation 5e008920-2eff-4ee7-aaa1-156d2924ec70 · outbound

This paper cites InfoNeRF: Ray Entropy Min- imization for Few-Shot Neural V olume Rendering,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges InfoNeRF: Ray Entropy Min- imization for Few-Shot Neural V olume Rendering,

Reference 90

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no resolver link, observed 2026-08-06T15:14:18.154894Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:14:18.154894Z digest=sha256:c9da2893dcbcf36496180fa2440c303c4baf6ceb92039f28d1ba46fb73c36f1c

Observation 82d858eb-7bfc-40d4-a24d-65577e1c3eb9 · outbound

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

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Geconerf: Few-shot neural radiance fields via geometric consistency,

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-06T15:14:18.157824Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:14:18.157824Z digest=sha256:c6ac1eb7e639a828abfab88add0a7d0723070d5d2a3d69f541cc8f842c82453b

Observation 30e6a8c5-11dd-4f00-bf4c-328b56ce3ed8 · outbound

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

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Putting nerf on a diet: Se- mantically consistent few-shot view synthesis,

Reference 92

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no resolver link, observed 2026-08-06T15:14:18.161270Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:14:18.161270Z digest=sha256:4c845341e00409146d6b749fa1c48e7bc4ddf8fa82b0cdbbcb338f8605bafdfc

Observation 375a5561-f202-4411-872f-61b617661180 · outbound

This paper cites Preface: A data-driven volumetric prior for few-shot ultra high- resolution face synthesis,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Preface: A data-driven volumetric prior for few-shot ultra high- resolution face synthesis,

Reference 93

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no resolver link, observed 2026-08-06T15:14:18.165058Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:14:18.165058Z digest=sha256:7ec682f9300346aa336b01cec7170e0828155a762cd1b0eb3f17b0fcc8dfcfb0

Observation 58add49b-328d-4d7a-a02d-1a1ea8c20142 · outbound

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

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Neurallift-360: Lifting an in-the-wild 2d photo to a 3d object with 360deg views,

Reference 94

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:14:18.169990Z digest=sha256:ca92834fe3c20a35be17db73468521900b431757d10c0fccb4de811b0ed4cd9a

Observation bc25e7a6-2d0d-4fd2-970c-6b95cd3d681b · outbound

This paper cites Sc-neus: Consistent neural surface reconstruction from sparse and noisy views,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Sc-neus: Consistent neural surface reconstruction from sparse and noisy views,

Reference 95

Resolution
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no resolver link, observed 2026-08-06T15:14:18.173257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.173257Z digest=sha256:f0c00bed00f1c0230433fc4513085245a5795fc0a4f5ded0b893a7381f7f1ac1

Observation 754dacf4-b450-42f3-896e-88cd7a803690 · outbound

This paper cites Generic objects as pose probes for few-shot view synthesis,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Generic objects as pose probes for few-shot view synthesis,

Reference 96

Resolution
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no resolver link, observed 2026-08-06T15:14:18.179250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.179250Z digest=sha256:5dcb344da14b446410acf6deaae1aa1ff28b869d3ce18193c402ab92e8af4c0e

Observation 184a55c4-64a9-4fc9-a146-51a820fa35cc · outbound

This paper cites Neural Surface Reconstruction from Sparse Views Using Epipolar Geometry.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Neural Surface Reconstruction from Sparse Views Using Epipolar Geometry

Reference 97

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:14:19.579269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:14:18.182977Z digest=sha256:213ac3da87059468e548662a8521d65909a420c82e617f55ceb8b399e8c88d96

Observation a1e776a0-638b-447e-a896-06ff2f3c93eb · outbound

This paper cites SPARF: Large- Scale Learning of 3D Sparse Radiance Fields from Few Input Images,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges SPARF: Large- Scale Learning of 3D Sparse Radiance Fields from Few Input Images,

Reference 98

Resolution
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no resolver link, observed 2026-08-06T15:14:18.186195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.186195Z digest=sha256:4d8a307ddaf44310d41e847b646667d798f5f56effd8b4f3eda2b50c0ad58ca3

Observation 7e352860-7eb4-4086-a126-002d0048e57c · outbound

This paper cites EG-HumanNeRF: Efficient Generalizable Human NeRF Utilizing Human Prior for Sparse View.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges EG-HumanNeRF: Efficient Generalizable Human NeRF Utilizing Human Prior for Sparse View

Reference 99

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verified exact
local_arxiv, observed 2026-08-06T15:14:19.280723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-06T15:14:18.189426Z digest=sha256:c661a310669d616ceeec168e3de8a333179329bead72bf36a45623cfe0568c66

Observation a2f9a348-64f1-4ae5-a562-a0db7395ec68 · outbound

This paper cites Flexnerf: Photorealistic free-viewpoint rendering of moving humans from sparse views,.

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges Flexnerf: Photorealistic free-viewpoint rendering of moving humans from sparse views,

Reference 100

Resolution
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no resolver link, observed 2026-08-06T15:14:18.192536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.192536Z digest=sha256:da3234bb2242bd7e5bf42dd97149b711cd90c60d11528e67acc13538eda82522

Observation 67da41c8-1de0-4aeb-b375-e67e0fe0feb5 · outbound

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

Sparse-View 3D Reconstruction: Recent Advances and Open Challenges SparseGS: Sparse View Synthesis using 3D Gaussian Splatting

Reference 101

Resolution
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no resolver link, observed 2026-08-06T15:14:18.196146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:14:18.196146Z digest=sha256:b93b0906ef66237c991893c65b4401999f982068776ea971557111dc3d3846bd

Pith citing papers

Observation 2efb4bf6-3164-4432-b4fa-215147e54268 · inbound

Relightable Gaussian Splatting for Virtual Production Using Image-Based Illumination cites this paper.

Relightable Gaussian Splatting for Virtual Production Using Image-Based Illumination Sparse-View 3D Reconstruction: Recent Advances and Open Challenges

Reference 116

Resolution
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arxiv_id, observed 2026-05-12T07:46:37.548274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-12T01:56:34.807815Z digest=sha256:81a02bcbc2436b6405619c1444b200eb5671e2d8365b9d7e6bcaa937107bd422

Observation ecfb026f-9f58-4b99-a735-98cd1aac525f · inbound

MAC-Splat: Multi-Attribute Consistency for High-Fidelity Sparse-View Reconstruction cites this paper.

MAC-Splat: Multi-Attribute Consistency for High-Fidelity Sparse-View Reconstruction Sparse-View 3D Reconstruction: Recent Advances and Open Challenges

Reference 61

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no resolver link, observed 2026-07-14T09:13:52.374749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:13:52.374749Z digest=sha256:b3c6f47865bf104c2726974bc7807fc3f108c28148a4349e7e8080312e3cd1a9