Sparfels: Fast Reconstruction from Sparse Unposed Imagery | Paper Citation Record

Observation 73055c2e-7c6b-4b62-ab7f-15b7b1b98dea · outbound

This paper cites Large-scale data for multiple-view stereopsis.International Journal of Com- puter Vision, 120(2):153–168, 2016.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Large-scale data for multiple-view stereopsis.International Journal of Com- puter Vision, 120(2):153–168, 2016

Reference 1

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Observation f8c86115-165a-4083-85a5-06c216cda22b · outbound

This paper cites Neural point-based graph- ics.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Neural point-based graph- ics

Reference 2

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Observation 97938464-9a64-4a4e-8828-ba21ba0ed02b · outbound

This paper cites Novel view synthesis in tensor space.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Novel view synthesis in tensor space

Reference 3

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Observation 78eb4427-5ed6-40a5-a3af-71304e237933 · outbound

This paper cites Barron, Ben Mildenhall, Dor Verbin, Pratul P.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Barron, Ben Mildenhall, Dor Verbin, Pratul P

Reference 4

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Observation 23eb7edf-b4bc-46ed-ab5a-b3f87a2fc8cd · outbound

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

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Mip-nerf 360: Unbounded anti-aliased neural radiance fields

Reference 5

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Observation 1d4d6a64-25c8-4d9b-82f8-ac85727b6448 · outbound

This paper cites Zip-nerf: Anti-aliased grid-based neural radiance fields.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Zip-nerf: Anti-aliased grid-based neural radiance fields

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.113691Z

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Observation bd5d6f73-0238-44bb-aa94-1f2986b42f13 · outbound

This paper cites PoRF: Pose Residual Field for Accurate Neural Surface Reconstruction.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery PoRF: Pose Residual Field for Accurate Neural Surface Reconstruction

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.118643Z

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Observation b4f1b700-d920-4e80-a6f6-3ab8f3223bc6 · outbound

This paper cites Nope-nerf: Optimising neural radiance field with no pose prior.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Nope-nerf: Optimising neural radiance field with no pose prior

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.123228Z

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Observation 1cb9facc-18f2-4886-8877-602c07a1afd1 · outbound

This paper cites Poco: Point con- volution for surface reconstruction.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Poco: Point con- volution for surface reconstruction

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.127287Z

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Observation 45429662-b8fe-433d-a4b5-ea96bc82efbd · outbound

This paper cites pixelsplat: 3d gaussian splats from im- age pairs for scalable generalizable 3d reconstruction.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery pixelsplat: 3d gaussian splats from im- age pairs for scalable generalizable 3d reconstruction

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.131562Z

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Observation 02c4f651-3dc1-43a6-8517-3add91313728 · outbound

This paper cites Entropy- sgd: Biasing gradient descent into wide valleys.Journal of Statistical Mechanics: Theory and Experiment, 2019(12): 124018, 2019.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Entropy- sgd: Biasing gradient descent into wide valleys.Journal of Statistical Mechanics: Theory and Experiment, 2019(12): 124018, 2019

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.135590Z

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Observation baad5efb-55e8-4f4c-bf75-b236ddfed25c · outbound

This paper cites Unsuper- vised inference of signed distance functions from single sparse point clouds without learning priors.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Unsuper- vised inference of signed distance functions from single sparse point clouds without learning priors

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.139401Z

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Observation f7cc76b8-a462-4e45-b3a5-229e32f10603 · outbound

This paper cites Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.143392Z

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Observation 886fa98b-deb2-4d71-9fe7-593c2d11f0d6 · outbound

This paper cites Neurbf: A neural fields rep- resentation with adaptive radial basis functions.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Neurbf: A neural fields rep- resentation with adaptive radial basis functions

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.147315Z

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Observation 72b91472-a092-4541-b539-37dcc7d13c5b · outbound

This paper cites Lu-nerf: Scene and pose estimation by synchronizing local unposed nerfs.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Lu-nerf: Scene and pose estimation by synchronizing local unposed nerfs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.151559Z

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Observation 82c342b3-9072-4afb-a431-028d91497253 · outbound

This paper cites Gaussian activated neural radiance fields for high fidelity reconstruction and pose estimation.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Gaussian activated neural radiance fields for high fidelity reconstruction and pose estimation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.155912Z

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Observation 70bfee96-d9ee-4925-a4bc-40dacdc7f27e · outbound

This paper cites Improving neu- ral implicit surfaces geometry with patch warping.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Improving neu- ral implicit surfaces geometry with patch warping

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.160008Z

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Observation 92064836-d0dc-4386-ae0e-da712bba1843 · outbound

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

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Depth-supervised NeRF: Fewer Views and Faster Training for Free

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.164260Z

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Observation 539cd98d-a02b-4916-95bf-63814e3c1dd2 · outbound

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

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Depth-supervised nerf: Fewer views and faster training for free

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.168568Z

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Observation 9b7c3c9c-e0de-4e7e-837a-623fb042ac4b · outbound

This paper cites Statis- tics of robust optimization: A generalized empirical likeli- hood approach, 2018.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Statis- tics of robust optimization: A generalized empirical likeli- hood approach, 2018

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.172563Z

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Observation 1dc10777-ad11-4e83-9aa3-b6282b93580f · outbound

This paper cites A point set generation network for 3d object reconstruction from a single image.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery A point set generation network for 3d object reconstruction from a single image

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.176646Z

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Observation 56a1dbc8-e3b9-4279-a5cc-e51b15586b63 · outbound

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

Sparfels: Fast Reconstruction from Sparse Unposed Imagery InstantSplat: Sparse-view Gaussian Splatting in Seconds

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.184782Z

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Observation c169eaff-a175-4a99-8869-f5f3c1045d6c · outbound

This paper cites Large Spatial Model: End-to-end Unposed Images to Semantic 3D.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Large Spatial Model: End-to-end Unposed Images to Semantic 3D

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.188851Z

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Observation c8f35888-9188-487f-9df6-370a3e6e8767 · outbound

This paper cites FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution Rendering.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution Rendering

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.193228Z

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Observation 510b7d7b-52ac-40d0-be3d-219fe72031b6 · outbound

This paper cites Sharpness-Aware Minimization for Efficiently Improving Generalization.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Sharpness-Aware Minimization for Efficiently Improving Generalization

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.197795Z

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Observation a5595f07-dfe9-4d72-895c-5f194f9e2ff9 · outbound

This paper cites COLMAP-Free 3D Gaussian Splatting.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery COLMAP-Free 3D Gaussian Splatting

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.202155Z

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Observation 0059d604-f762-4fd9-a058-715c5e7efb27 · outbound

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

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Cascade cost volume for high- resolution multi-view stereo and stereo matching

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.206415Z

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Observation 91de33d2-37ce-46ce-8837-f6ecdf0b2931 · outbound

This paper cites Flat minima.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Flat minima

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.210697Z

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Observation 4aea8c18-0bee-4e10-93ab-ed1cee9953bb · outbound

This paper cites PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.214902Z

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Observation 4ba995ab-d3bb-4027-8ae7-fb63e0e117dc · outbound

This paper cites Shape from shading: A method for ob- taining the shape of a smooth opaque object from one view.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Shape from shading: A method for ob- taining the shape of a smooth opaque object from one view

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.219342Z

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Observation c45757fc-8fe4-4cdc-9c8f-80cf93e56d3d · outbound

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

Sparfels: Fast Reconstruction from Sparse Unposed Imagery 2d gaussian splatting for geometrically ac- curate radiance fields

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.223297Z

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Observation acd360a6-928d-418a-8743-90b0d027e053 · outbound

This paper cites Neural kernel surface re- construction.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Neural kernel surface re- construction

Reference 33

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Observation 8972bff8-c498-4548-9531-d303553933c7 · outbound

This paper cites Robust estimation of a location parameter.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Robust estimation of a location parameter

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.231418Z

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Observation a9caa6d8-86be-476a-b4e0-240494e67d32 · outbound

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

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Putting nerf on a diet: Semantically consistent few-shot view synthesis

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.235466Z

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Observation 6383f84c-a983-45dd-b833-3bb1232c469a · outbound

This paper cites Neural mesh-based graphics.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Neural mesh-based graphics

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.239392Z

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Observation 1ef9cb9f-a9ac-4db1-992f-c45b76949bd9 · outbound

This paper cites GeoTransfer : Generalizable Few-Shot Multi-View Reconstruction via Transfer Learning.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery GeoTransfer : Generalizable Few-Shot Multi-View Reconstruction via Transfer Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.243127Z

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Observation 0cec079c-f283-467a-8e6d-54dd3a6636e4 · outbound

This paper cites Sparsplat: Fast multi-view reconstruction with generalizable 2d gaussian splatting.arXiv, 2025.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Sparsplat: Fast multi-view reconstruction with generalizable 2d gaussian splatting.arXiv, 2025

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.247266Z

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Observation 622ef2d6-186d-46c9-8b05-3cc76be74509 · outbound

This paper cites Self-calibrating neural radiance fields.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Self-calibrating neural radiance fields

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.251315Z

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Observation 6af6eccd-c49e-4b82-9ca9-d978730f0989 · outbound

This paper cites Sdfdiff: Differentiable rendering of signed dis- tance fields for 3d shape optimization.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Sdfdiff: Differentiable rendering of signed dis- tance fields for 3d shape optimization

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.601205Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 32705a17-e42d-4bcc-a259-2e53532b95a3 · outbound

This paper cites Neural 3d mesh renderer.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Neural 3d mesh renderer

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.588219Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 234bd0da-185e-4a49-b283-edbe7674650b · outbound

This paper cites Neural lumigraph ren- dering.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Neural lumigraph ren- dering

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.574593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6f02c3ad-b523-4e80-8882-da8053ad0d68 · outbound

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

Sparfels: Fast Reconstruction from Sparse Unposed Imagery 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.267555Z

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Observation ab0673e3-89b7-458e-a40e-dbbc53d9d3b2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Adam: A Method for Stochastic Optimization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.271761Z

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Observation 0fe5d730-be83-417e-b812-a584eab8e631 · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics (ToG), 36(4):1–13, 2017.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Tanks and temples: Benchmarking large-scale scene reconstruction.ACM Transactions on Graphics (ToG), 36(4):1–13, 2017

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.553884Z

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Observation 7249e366-6872-4246-b43a-bab9aa0a2ff5 · outbound

This paper cites The visual hull concept for silhouette- based image understanding.IEEE Transactions on pattern analysis and machine intelligence, 16(2):150–162, 1994.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery The visual hull concept for silhouette- based image understanding.IEEE Transactions on pattern analysis and machine intelligence, 16(2):150–162, 1994

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.540413Z

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Observation a4bcfcc8-9aef-468b-ae14-39b9019fdccf · outbound

This paper cites Grounding Image Matching in 3D with MASt3R.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Grounding Image Matching in 3D with MASt3R

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.283974Z

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Observation 04ff62d9-c195-4649-8fa0-87d9fac88dcc · outbound

This paper cites Learn- ing generalizable light field networks from few images.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Learn- ing generalizable light field networks from few images

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.527115Z

Source-reported events for the cited work

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Observation 14ef2164-1632-43db-8df2-ff1b77844587 · outbound

This paper cites Regu- larizing neural radiance fields from sparse rgb-d inputs.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Regu- larizing neural radiance fields from sparse rgb-d inputs

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.292031Z

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Observation bf47901a-9383-493c-a7f2-d9e0f531a03e · outbound

This paper cites Retr: Modeling rendering via transformer for generalizable neural surface reconstruction.Advances in Neural Information Processing Systems, 36, 2024.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Retr: Modeling rendering via transformer for generalizable neural surface reconstruction.Advances in Neural Information Processing Systems, 36, 2024

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.504989Z

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Observation c920877d-7612-442e-ace3-a3ef8ae4cf90 · outbound

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

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Barf: Bundle-adjusting neural radiance fields

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.491693Z

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Observation 849187c7-0fbb-48a1-9572-1f8d417d5dc4 · outbound

This paper cites MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.304224Z

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Observation 7e6bbd90-d26e-43a3-8dc0-777d65adac85 · outbound

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

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Sparseneus: Fast generalizable neural sur- face reconstruction from sparse views

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.476947Z

Source-reported events for the cited work

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Observation a56f8f7a-46c1-4400-99bc-fd3b51f3ebd7 · outbound

This paper cites Scaffold-gs: Structured 3d gaussians for view-adaptive rendering.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Scaffold-gs: Structured 3d gaussians for view-adaptive rendering

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.312931Z

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Observation 05aa5036-b762-4d7f-a6c0-b521a2553f97 · outbound

This paper cites Surface reconstruction from point clouds by learning predictive context priors.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Surface reconstruction from point clouds by learning predictive context priors

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.455676Z

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Observation 0135ada7-4614-4d86-82fd-be1f1507ea8a · outbound

This paper cites A practical bayesian framework for backpropagation networks.Neural computation, 4(3):448– 472, 1992.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery A practical bayesian framework for backpropagation networks.Neural computation, 4(3):448– 472, 1992

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.442170Z

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Observation a581f4b3-d39f-40ce-8c10-f0b547da0f00 · outbound

This paper cites Pro- gressively optimized local radiance fields for robust view synthesis.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Pro- gressively optimized local radiance fields for robust view synthesis

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.428463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c6fa31f8-30ba-42c3-b03d-bd0483f9efb1 · outbound

This paper cites Local light field fusion: Practical view syn- thesis with prescriptive sampling guidelines.ACM Trans- actions on Graphics (TOG), 38(4):1–14, 2019.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Local light field fusion: Practical view syn- thesis with prescriptive sampling guidelines.ACM Trans- actions on Graphics (TOG), 38(4):1–14, 2019

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.414632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ff8f57a0-e544-41ff-b3ff-d5ef4de0caac · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Nerf: Representing scenes as neural radiance fields for view syn- thesis.Communications of the ACM, 65(1):99–106, 2021

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.333490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a864b008-fab2-449b-80e0-f80227d77c1a · outbound

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

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Uforecon: Generalizable sparse-view surface reconstruction from arbitrary and unfavorable sets

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.391776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ff57a6b3-68e0-45f8-bf51-80cf6e869fa0 · outbound

This paper cites Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervi- sion.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Differentiable volumetric rendering: Learning implicit 3d representations without 3d supervi- sion

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.377069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b742579-77ce-4a90-8e3f-265e00b73762 · outbound

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

Sparfels: Fast Reconstruction from Sparse Unposed Imagery RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.345361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79720fe4-22f4-4d2f-a3ed-23ce218216bf · outbound

This paper cites Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Unisurf: Unifying neural implicit surfaces and radiance fields for multi-view reconstruction

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.349371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7170f4cf-1f32-407d-a3d1-9e6ddb5f0896 · outbound

This paper cites Few’zero level set’-shot learning of shape signed distance functions in fea- ture space.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Few’zero level set’-shot learning of shape signed distance functions in fea- ture space

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.354400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 83a69fa9-8879-4710-b91c-dcc104b21d0c · outbound

This paper cites Mixing-denoising generalizable occupancy networks.3DV, 2024.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Mixing-denoising generalizable occupancy networks.3DV, 2024

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.340921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 52ad3a4d-63dd-47b9-916b-cd49727dbd8e · outbound

This paper cites Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.361603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbd59db2-f56e-4fc3-8b44-73677cf6a93c · outbound

This paper cites Robustifying gen- eralizable implicit shape networks with a tunable non- parametric model.Advances in Neural Information Pro- cessing Systems, 36, 2024.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Robustifying gen- eralizable implicit shape networks with a tunable non- parametric model.Advances in Neural Information Pro- cessing Systems, 36, 2024

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.327866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dd53d3bc-fc97-4e61-878c-d98f397b6f69 · outbound

This paper cites Unsupervised oc- cupancy learning from sparse point cloud.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Unsupervised oc- cupancy learning from sparse point cloud

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.314718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation efb66ede-8fee-4c67-b6e7-f12a7b25900a · outbound

This paper cites Toward Robust Neural Reconstruction from Sparse Point Sets.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Toward Robust Neural Reconstruction from Sparse Point Sets

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.373543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02403305-f521-466d-ae02-dc6954320b94 · outbound

This paper cites Soft 3D Reconstruction for View Synthesis.ACM Transactions on Graphics (TOG), 36(6): 1–11, 2017.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Soft 3D Reconstruction for View Synthesis.ACM Transactions on Graphics (TOG), 36(6): 1–11, 2017

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.301665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ec0b5651-ea18-4924-8d52-a174e3050c16 · outbound

This paper cites Spurfies: Sparse Surface Reconstruction using Local Geometry Priors.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Spurfies: Sparse Surface Reconstruction using Local Geometry Priors

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.381460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55643029-7485-4880-a27b-fddd8a740100 · outbound

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

Sparfels: Fast Reconstruction from Sparse Unposed Imagery V olrecon: V olume rendering of signed ray distance functions for generalizable multi-view reconstruction

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.288892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6a13a99c-2afe-451f-8737-9ee05594a56f · outbound

This paper cites Structure-from-motion revisited.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Structure-from-motion revisited

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.275972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66992816-8739-44dd-bd96-bea2732c8a00 · outbound

This paper cites Structure-from-motion revisited.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Structure-from-motion revisited

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.263371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 95334a08-2e7a-4b1a-97a6-091d1b2c5771 · outbound

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

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Pixelwise view selection for unstructured multi-view stereo

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.250555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fe0164c4-fa2c-4b2d-bf84-5a2d31c014cd · outbound

This paper cites Photorealistic Scene Reconstruction by V oxel Coloring, 2002.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Photorealistic Scene Reconstruction by V oxel Coloring, 2002

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.237612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8ab6c809-fa4e-43f5-9573-9ecb66dc48b6 · outbound

This paper cites Lighthouse: Predicting Lighting V olumes for Spatially- Coherent Illumination.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Lighthouse: Predicting Lighting V olumes for Spatially- Coherent Illumination

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.225042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c5da87d-5d4f-4e0d-9921-12bd6f4effc7 · outbound

This paper cites V olume render- ing digest (for nerf), 2022.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery V olume render- ing digest (for nerf), 2022

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.211285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c85341d3-0747-4949-9094-274e96471078 · outbound

This paper cites Sparf: Neural radiance fields from sparse and noisy poses.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Sparf: Neural radiance fields from sparse and noisy poses

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.196658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d59feed2-5e9b-4077-9ef3-51f75da5a729 · outbound

This paper cites SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.416852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20cb8c7e-4bbe-48e3-8c00-ee6dbe614774 · outbound

This paper cites Vggt: Visual geometry grounded transformer.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Vggt: Visual geometry grounded transformer

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.183633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 82dfb54a-0d79-4930-9a1c-25679891e1d6 · outbound

This paper cites Pixel2mesh: Generating 3d mesh models from single rgb images.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Pixel2mesh: Generating 3d mesh models from single rgb images

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.170184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4edc0604-c6bc-4855-9835-5adb2695ec95 · outbound

This paper cites NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.428971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 512d6fcc-b9ed-4adb-aa7b-172e51dedfdd · outbound

This paper cites Dust3r: Geometric 3d vision made easy.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Dust3r: Geometric 3d vision made easy

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.157213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 215196c7-4bbe-4219-99a1-47d6ba63da60 · outbound

This paper cites Hf-neus: Improved surface reconstruction using high- frequency details.Advances in Neural Information Pro- cessing Systems, 35:1966–1978, 2022.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Hf-neus: Improved surface reconstruction using high- frequency details.Advances in Neural Information Pro- cessing Systems, 35:1966–1978, 2022

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.143988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12ccc115-1f68-49dd-8023-97c323bb2cf8 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image pro- cessing, 13(4):600–612, 2004.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Image quality assessment: from error visibility to structural similarity.IEEE transactions on image pro- cessing, 13(4):600–612, 2004

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.440903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9277d066-d831-487c-bd50-e0a09bc3a6d6 · outbound

This paper cites Nerf–: Neural radiance fields without known camera parameters.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Nerf–: Neural radiance fields without known camera parameters

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.120827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7861a55e-c373-48c9-ad9b-3f450fb29e77 · outbound

This paper cites Photometric method for determining surface orientation from multiple images.Optical engineer- ing, 19(1):139–144, 1980.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Photometric method for determining surface orientation from multiple images.Optical engineer- ing, 19(1):139–144, 1980

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.107024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 70bd465f-6ce1-4366-81f8-f0013045e71f · outbound

This paper cites ReconFusion: 3D Reconstruction with Diffusion Priors.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery ReconFusion: 3D Reconstruction with Diffusion Priors

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.452919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b58c0ea9-2683-4939-a149-089e2d98eede · outbound

This paper cites V oxurf: V oxel- based efficient and accurate neural surface reconstruction.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery V oxurf: V oxel- based efficient and accurate neural surface reconstruction

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.093106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 65bcc2a0-badd-4ccf-a4c0-13275b8b6af4 · outbound

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

Sparfels: Fast Reconstruction from Sparse Unposed Imagery SparseGS: Sparse View Synthesis using 3D Gaussian Splatting

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.461576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1788664c-40ac-4b6c-a6fb-bfd314d8ceb3 · outbound

This paper cites Sparp: Fast 3d object reconstruc- tion and pose estimation from sparse views.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Sparp: Fast 3d object reconstruc- tion and pose estimation from sparse views

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.079745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 144c885b-f10a-46d4-bb77-2f918331816c · outbound

This paper cites Sinnerf: Training neural radiance fields on complex scenes from a single im- age.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Sinnerf: Training neural radiance fields on complex scenes from a single im- age

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.066271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c1c16ac3-5c5a-4906-87f7-b372f1f725f0 · outbound

This paper cites DepthSplat: Connecting Gaussian Splatting and Depth.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery DepthSplat: Connecting Gaussian Splatting and Depth

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.474047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaa9820a-8903-4d6f-8627-01154e0aee05 · outbound

This paper cites Point- nerf: Point-based neural radiance fields.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Point- nerf: Point-based neural radiance fields

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-16T01:07:40.478503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70cae6cf-4da0-4788-af9c-a5109d890eca · outbound

This paper cites Freenerf: Im- proving few-shot neural rendering with free frequency reg- ularization.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Freenerf: Im- proving few-shot neural rendering with free frequency reg- ularization

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.044041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 27d0718e-9f4f-49ac-930c-e53f86102ee7 · outbound

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

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Blendedmvs: A large-scale dataset for generalized multi-view stereo net- works

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.030371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6c217576-b60f-404c-900b-9f9772dba3c3 · outbound

This paper cites Multiview neu- ral surface reconstruction by disentangling geometry and appearance.Advances in Neural Information Processing Systems, 33:2492–2502, 2020.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Multiview neu- ral surface reconstruction by disentangling geometry and appearance.Advances in Neural Information Processing Systems, 33:2492–2502, 2020

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.016948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 25a9c518-65e8-4636-a285-227779da789f · outbound

This paper cites V olume rendering of neural implicit surfaces.Advances in Neural Information Processing Systems, 34:4805–4815,.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery V olume rendering of neural implicit surfaces.Advances in Neural Information Processing Systems, 34:4805–4815,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:41.002752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7bcd8338-d1b0-4143-b8f3-9d7cff688d60 · outbound

This paper cites Sparsecraft: Few-shot neural reconstruction through stere- opsis guided geometric linearization.

Sparfels: Fast Reconstruction from Sparse Unposed Imagery Sparsecraft: Few-shot neural reconstruction through stere- opsis guided geometric linearization

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:40.988188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 93fba6f5-f79b-42b9-a14a-e2513ce2766c · outbound

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

Sparfels: Fast Reconstruction from Sparse Unposed Imagery pixelnerf: Neural radiance fields from one or few images

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T01:07:40.974440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers