High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes | Paper Citation Record

Observation af1e4fcd-6f86-4915-8310-9aeef2c87e6d · outbound

This paper cites Large-scale data for multiple-view stereopsis.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Large-scale data for multiple-view stereopsis

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.337993Z

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Observation eb65da3f-14f3-41df-9624-303121fd2f2e · outbound

This paper cites MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes MVSFormer++: Revealing the Devil in Transformer's Details for Multi-View Stereo

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:11.533849Z

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Observation 625b5bcc-bb9f-4c2a-aadb-f4a732674db1 · outbound

This paper cites Mvsnerf: Fast general- izable radiance field reconstruction from multi-view stereo.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Mvsnerf: Fast general- izable radiance field reconstruction from multi-view stereo

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.326108Z

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Observation cff4c7cd-29cd-44f2-b6fd-380d5628de74 · outbound

This paper cites A volumetric method for building complex models from range images.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes A volumetric method for building complex models from range images

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.315649Z

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Observation af8fa1b6-4c57-437f-be37-589727c63fc2 · outbound

This paper cites Transmvsnet: Global context-aware multi-view stereo network with trans- formers.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Transmvsnet: Global context-aware multi-view stereo network with trans- formers

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.305396Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9a4c9a84-23d3-440c-9a35-3c00d676f51a · outbound

This paper cites an unresolved cited work.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:19:12.294347Z

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Observation 29d0609d-bd6b-434e-b1b3-c0aec3f44f04 · outbound

This paper cites Accurate, dense, and robust multiview stereopsis.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Accurate, dense, and robust multiview stereopsis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.284136Z

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Observation 2714dc6b-30fc-459c-a51c-fd0eae1ed24e · outbound

This paper cites Cascade cost volume for high-resolution multi-view stereo and stereo matching.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Cascade cost volume for high-resolution multi-view stereo and stereo matching

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.272849Z

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Observation 59486459-a103-4184-9b54-54a8da3ebdca · outbound

This paper cites Hartley and A.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Hartley and A

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.260249Z

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Observation 1f73a1d1-f0dc-4f24-a2bb-6541a3d34706 · outbound

This paper cites 2d gaussian splatting for geometrically ac- curate radiance fields.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes 2d gaussian splatting for geometrically ac- curate radiance fields

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.249656Z

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This paper cites Surfacenet: An end-to-end 3d neural network for mul- tiview stereopsis.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Surfacenet: An end-to-end 3d neural network for mul- tiview stereopsis

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.237195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e73cb4b4-2640-4b45-adb9-bfe2d929654c · outbound

This paper cites Sur- facenet+: An end-to-end 3d neural network for very sparse multi-view stereopsis.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Sur- facenet+: An end-to-end 3d neural network for very sparse multi-view stereopsis

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.225996Z

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Observation 0aaf128d-2cf3-4618-abf8-6a1d6a1b3f91 · outbound

This paper cites an unresolved cited work.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:19:12.214291Z

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Observation 5b725980-f6f2-4c91-9ad7-88a7a789ebf7 · outbound

This paper cites Kerbl, G.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Kerbl, G

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.202508Z

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Observation 80bac1c7-6505-40e4-91bc-9a472eca3085 · outbound

This paper cites an unresolved cited work.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:19:12.190821Z

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Observation 5cdf20e2-5eee-455f-b484-3f488a1a610f · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Tanks and temples: Benchmarking large-scale scene reconstruction

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.178219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8d92e725-cdc7-4fe5-8741-49d3d335c381 · outbound

This paper cites Kostrikov and J.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Kostrikov and J

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.167475Z

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Observation 50c8e586-ab11-4358-8e47-579db7a68992 · outbound

This paper cites Kutulakos and S.M.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Kutulakos and S.M

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.155134Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3139ccc8-2332-4154-ac08-0f565261e125 · outbound

This paper cites A quasi-dense approach to surface reconstruction from uncalibrated images.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes A quasi-dense approach to surface reconstruction from uncalibrated images

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.142963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e89267cd-bec7-4619-8c75-42a5c61a8feb · outbound

This paper cites an unresolved cited work.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:19:12.130803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation eb35417a-f945-4bea-b579-6c3dcdee7f23 · outbound

This paper cites Retr: Modeling rendering via transformer for generalizable neural surface re- construction.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Retr: Modeling rendering via transformer for generalizable neural surface re- construction

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.117849Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a1b8d9fc-2ba8-4993-894e-6e34fdda8806 · outbound

This paper cites an unresolved cited work.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:19:12.105256Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e33c6f49-08a3-4c98-8164-c4ffe96f7218 · outbound

This paper cites an unresolved cited work.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:19:12.092924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3e910f51-2364-4103-a6a5-96bd67ba628e · outbound

This paper cites Neural sparse voxel fields.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Neural sparse voxel fields

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:11.625503Z

Source-reported events for the cited work

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Observation 8db026d5-c3a9-48e6-9b18-a0314a9550d4 · outbound

This paper cites Sparseneus: Fast generalizable neural sur- face reconstruction from sparse views.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Sparseneus: Fast generalizable neural sur- face reconstruction from sparse views

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.075196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7fcb14b5-48ac-41cb-8a2d-72bba33159dd · outbound

This paper cites Lorensen and H.E.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Lorensen and H.E

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.062073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0dfa137a-d9cb-4123-bc7e-ebc50e41aa84 · outbound

This paper cites an unresolved cited work.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:19:12.048680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 742e8dbb-3b3a-4cdd-a5be-c2c9aeeaab85 · outbound

This paper cites Instant neural graphics primitives with a mul- tiresolution hash encoding.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Instant neural graphics primitives with a mul- tiresolution hash encoding

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.037399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4cbe8b97-70d6-46e9-a04f-c0e712b866f5 · outbound

This paper cites Uforecon: Generalizable sparse-view surface reconstruction from arbitrary and unfavorable sets.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Uforecon: Generalizable sparse-view surface reconstruction from arbitrary and unfavorable sets

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.025657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d60a73d8-174b-48f4-b61e-e28d9a17feb4 · outbound

This paper cites V olrecon: V olume rendering of signed ray distance functions for generalizable multi-view recon- struction.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes V olrecon: V olume rendering of signed ray distance functions for generalizable multi-view recon- struction

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.013834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5ab542db-8ffa-4af7-a88b-554408051d05 · outbound

This paper cites Ronneberger, P.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Ronneberger, P

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:12.001398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2f3353ed-3ecc-4adc-92ec-9081442b7ef8 · outbound

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

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Pixelwise view selection for unstructured multi-view stereo

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:11.655327Z

Source-reported events for the cited work

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Observation ff5e78f9-d558-4dd5-b2ed-a7f316303736 · outbound

This paper cites Seitz, B.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Seitz, B

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:11.981398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e1e30c2f-1f2b-4d1e-92c0-f06bf16f5aa0 · outbound

This paper cites Shum and S.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Shum and S

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:11.968883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0683beaf-a485-4a68-91a3-d2d89585f7a0 · outbound

This paper cites Torchsparse++: Efficient training and inference framework for sparse convolution on gpus.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Torchsparse++: Efficient training and inference framework for sparse convolution on gpus

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:11.955579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ae9163cb-706b-4b22-82bb-91895f2e2a84 · outbound

This paper cites Itermvs: Iterative probability estimation for efficient multi-view stereo.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Itermvs: Iterative probability estimation for efficient multi-view stereo

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:11.942739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6e570236-d14d-43dd-b59a-f54d0b1bf8f0 · outbound

This paper cites an unresolved cited work.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:19:11.930139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 974679af-ab0d-4e31-a911-68c2cdf2a5fd · outbound

This paper cites Ibr- net: Learning multi-view image-based rendering.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Ibr- net: Learning multi-view image-based rendering

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:11.919121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1617c223-6cb4-42c9-b2dd-8120b73df0c1 · outbound

This paper cites C2f2neus: Cascade cost frustum fusion for high fidelity and generalizable neu- ral surface reconstruction.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes C2f2neus: Cascade cost frustum fusion for high fidelity and generalizable neu- ral surface reconstruction

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:11.907604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a785d3cc-bc57-43cc-8559-607265d036e1 · outbound

This paper cites Mvsnet: Depth inference for unstructured multi-view stereo.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Mvsnet: Depth inference for unstructured multi-view stereo

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:11.686330Z

Source-reported events for the cited work

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Observation d959a559-c3d2-434b-ae43-1d58a7d93969 · outbound

This paper cites Recurrent mvsnet for high-resolution multi-view stereo depth inference.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Recurrent mvsnet for high-resolution multi-view stereo depth inference

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:11.690437Z

Source-reported events for the cited work

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Observation 31f50051-4124-48bd-b53e-1b0e4bee689a · outbound

This paper cites Blendedmvs: A large- scale dataset for generalized multi-view stereo networks.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Blendedmvs: A large- scale dataset for generalized multi-view stereo networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:11.882112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 964a093c-96d7-4d3c-93aa-737539f2433e · outbound

This paper cites Yariv, Y.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Yariv, Y

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:11.869230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e527de19-01db-4916-8c94-ca48167ca3ed · outbound

This paper cites V olume rendering of neural implicit surfaces.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes V olume rendering of neural implicit surfaces

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:11.702402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6398ba3a-5789-4970-bc11-b74292ced116 · outbound

This paper cites Spar- secraft: Few-shot neural reconstruction through stereopsis guided geometric linearization.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Spar- secraft: Few-shot neural reconstruction through stereopsis guided geometric linearization

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:11.848370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d6e0208d-5d5c-46fb-94af-047b6097b361 · outbound

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

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes pixelnerf: Neural radiance fields from one or few images

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:11.834384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8e0d404d-2b49-43cf-a1d7-4e7f5f0f90fb · outbound

This paper cites Gaussian opacity fields: Efficient adaptive surface reconstruction in unbounded scenes.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Gaussian opacity fields: Efficient adaptive surface reconstruction in unbounded scenes

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:11.819723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 424ffead-42fc-448e-b0ba-b3c5a82c2104 · outbound

This paper cites Transplat: Generalizable 3d gaussian splatting from sparse multi-view images with transformers.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Transplat: Generalizable 3d gaussian splatting from sparse multi-view images with transformers

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:11.805766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bf57a7bb-dd9c-4b58-b8d7-e8a084ebceec · outbound

This paper cites an unresolved cited work.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:19:11.790625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 733e48d7-441e-419f-baa5-8ab01796bc99 · outbound

This paper cites Network Architectures.

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Network Architectures

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:19:11.776975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Pith citing papers