Toward Robust Neural Reconstruction from Sparse Point Sets | Paper Citation Record

Observation 0eddb9f1-99e0-4ffd-a18a-cb960185ef21 · outbound

This paper cites Neural point-based graphics.

Toward Robust Neural Reconstruction from Sparse Point Sets Neural point-based graphics

Reference 1

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Observation 66d58d1c-4af3-4cd0-baab-a4a96bd13b06 · outbound

This paper cites The power crust, unions of balls, and the medial axis transform.

Toward Robust Neural Reconstruction from Sparse Point Sets The power crust, unions of balls, and the medial axis transform

Reference 2

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Observation 01056861-1552-4bef-b4f3-04314d4b7971 · outbound

This paper cites Sal: Sign agnostic learn- ing of shapes from raw data.

Toward Robust Neural Reconstruction from Sparse Point Sets Sal: Sign agnostic learn- ing of shapes from raw data

Reference 3

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Observation f5f3391d-2b28-4277-85ed-d08e769517ef · outbound

This paper cites Sald: Sign agnostic learn- ing with derivatives.

Toward Robust Neural Reconstruction from Sparse Point Sets Sald: Sign agnostic learn- ing with derivatives

Reference 4

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Observation e94752eb-dd9b-4283-aa9d-156fddb7f42b · outbound

This paper cites Regu- larization for wasserstein distributionally robust optimization.

Toward Robust Neural Reconstruction from Sparse Point Sets Regu- larization for wasserstein distributionally robust optimization

Reference 5

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Observation 9dfe8d93-ecac-483e-8594-1234a977aa70 · outbound

This paper cites Digs: Divergence guided shape implicit neu- ral representation for unoriented point clouds.

Toward Robust Neural Reconstruction from Sparse Point Sets Digs: Divergence guided shape implicit neu- ral representation for unoriented point clouds

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.026759Z

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Observation c209c24d-02f5-4826-bdfd-a49894141dae · outbound

This paper cites Robust solutions of optimization problems affected by uncertain probabilities.

Toward Robust Neural Reconstruction from Sparse Point Sets Robust solutions of optimization problems affected by uncertain probabilities

Reference 7

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Observation 74b7b8dd-a1e8-439d-ba16-183bd3808391 · outbound

This paper cites The ball-pivoting algorithm for surface reconstruction.

Toward Robust Neural Reconstruction from Sparse Point Sets The ball-pivoting algorithm for surface reconstruction

Reference 8

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Observation 6c388e35-5d10-4cc8-8432-fc7f1fa2dd75 · outbound

This paper cites Data- driven robust optimization.

Toward Robust Neural Reconstruction from Sparse Point Sets Data- driven robust optimization

Reference 9

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Observation 8323d71f-a6a2-4dbc-96fa-73cf75369d4f · outbound

This paper cites Semi-supervised learning based on distributionally robust optimization, 2020.

Toward Robust Neural Reconstruction from Sparse Point Sets Semi-supervised learning based on distributionally robust optimization, 2020

Reference 10

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Observation f7ef6edb-8f92-47c7-aba7-f94e1965d186 · outbound

This paper cites Quantifying distribu- tional model risk via optimal transport.

Toward Robust Neural Reconstruction from Sparse Point Sets Quantifying distribu- tional model risk via optimal transport

Reference 11

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Observation 08c50e91-bfc0-44ec-91f1-c106267948bd · outbound

This paper cites an unresolved cited work.

Toward Robust Neural Reconstruction from Sparse Point Sets Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.051518Z

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Observation 9b2f98d6-f9fb-45e2-8dfc-91ca2ccd3289 · outbound

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

Toward Robust Neural Reconstruction from Sparse Point Sets Poco: Point con- volution for surface reconstruction

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.054856Z

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Observation b8d6fdae-1ad2-4a73-a28e-8aaba650ced2 · outbound

This paper cites Needrop: Self-supervised shape represen- tation from sparse point clouds using needle dropping.

Toward Robust Neural Reconstruction from Sparse Point Sets Needrop: Self-supervised shape represen- tation from sparse point clouds using needle dropping

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.058372Z

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Observation 2f2d15e9-b652-4c9b-9094-1d9f53b66ecd · outbound

This paper cites A Unified Wasserstein Distributional Robustness Framework for Adversarial Training.

Toward Robust Neural Reconstruction from Sparse Point Sets A Unified Wasserstein Distributional Robustness Framework for Adversarial Training

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.063277Z

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Observation 9b15a726-939c-446b-ad61-3dbd4a538e4f · outbound

This paper cites Reconstruction and representation of 3d objects with radial basis functions.

Toward Robust Neural Reconstruction from Sparse Point Sets Reconstruction and representation of 3d objects with radial basis functions

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.067294Z

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Observation f8a48172-0ee8-425c-9fcc-f44140c2f1e3 · outbound

This paper cites an unresolved cited work.

Toward Robust Neural Reconstruction from Sparse Point Sets Unresolved cited work

Reference 17

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Observation 4ecac2fb-ac2d-4cfb-aa8b-e4cf7d56d346 · outbound

This paper cites Efficient geometry-aware 3d generative adversarial networks.

Toward Robust Neural Reconstruction from Sparse Point Sets Efficient geometry-aware 3d generative adversarial networks

Reference 18

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Observation b7569c2a-2874-4e79-81c9-17c332fffbda · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

Toward Robust Neural Reconstruction from Sparse Point Sets ShapeNet: An Information-Rich 3D Model Repository

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.078541Z

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Observation 4a09c027-b9a8-423e-b478-20bff224de88 · outbound

This paper cites Latent partition implicit with surface codes for 3d representation.

Toward Robust Neural Reconstruction from Sparse Point Sets Latent partition implicit with surface codes for 3d representation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.083218Z

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Observation 259d7b55-c398-444e-8dff-69b95038f03c · outbound

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

Toward Robust Neural Reconstruction from Sparse Point Sets Unsupervised inference of signed distance functions from single sparse point clouds without learning priors

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.087181Z

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Observation 65e334df-28e8-4cfb-840d-5fc4325d4ad4 · outbound

This paper cites Gridpull: To- wards scalability in learning implicit representations from 3d point clouds.

Toward Robust Neural Reconstruction from Sparse Point Sets Gridpull: To- wards scalability in learning implicit representations from 3d point clouds

Reference 22

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Observation 8e5b8dec-c3e2-4519-a9c1-d88da5806535 · outbound

This paper cites Implicit feature net- works for texture completion from partial 3d data.

Toward Robust Neural Reconstruction from Sparse Point Sets Implicit feature net- works for texture completion from partial 3d data

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.263242Z

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Observation ece17715-c64e-4dac-88a7-8b5453af912a · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.

Toward Robust Neural Reconstruction from Sparse Point Sets Sinkhorn distances: Lightspeed computation of optimal transport

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.253316Z

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Observation de1e4f4d-3c59-4f77-9e8a-9039d7ea9423 · outbound

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

Toward Robust Neural Reconstruction from Sparse Point Sets A point set generation network for 3d object reconstruction from a single image

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.243058Z

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Observation b875cb00-0ed8-45bb-9e40-ac416a32f940 · outbound

This paper cites Distributionally robust stochas- tic optimization with wasserstein distance.

Toward Robust Neural Reconstruction from Sparse Point Sets Distributionally robust stochas- tic optimization with wasserstein distance

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.232257Z

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Observation 23d51881-96c5-4198-920e-d3287cb1e406 · outbound

This paper cites Distributionally robust optimiza- tion and its tractable approximations.

Toward Robust Neural Reconstruction from Sparse Point Sets Distributionally robust optimiza- tion and its tractable approximations

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.222422Z

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Observation d9b6dcd9-714d-4ecf-9d81-d1f18dc3aa9f · outbound

This paper cites Implicit geometric regularization for learning shapes.

Toward Robust Neural Reconstruction from Sparse Point Sets Implicit geometric regularization for learning shapes

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.212982Z

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Observation db12955a-5eba-4d74-b66f-900cfdf2ee3e · outbound

This paper cites Algebraic point set surfaces.

Toward Robust Neural Reconstruction from Sparse Point Sets Algebraic point set surfaces

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.200386Z

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Observation 154a5ba6-e6c9-4a04-bfeb-a4122e693b18 · outbound

This paper cites Iterative Poisson Surface Reconstruction (iPSR) for Unoriented Points.

Toward Robust Neural Reconstruction from Sparse Point Sets Iterative Poisson Surface Reconstruction (iPSR) for Unoriented Points

Reference 30

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Observation b66af778-f5f6-4827-aeaf-1147809e6f4a · outbound

This paper cites Neusurf: On-surface priors for neural surface reconstruction from sparse input views.

Toward Robust Neural Reconstruction from Sparse Point Sets Neusurf: On-surface priors for neural surface reconstruction from sparse input views

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.187288Z

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Observation 0543d2b5-b831-4f86-9c97-f8c9a2a42411 · outbound

This paper cites Neural kernel surface recon- struction.

Toward Robust Neural Reconstruction from Sparse Point Sets Neural kernel surface recon- struction

Reference 32

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Observation 2d4c4a2e-ac02-4096-b0cd-152a225666a8 · outbound

This paper cites Neural kernel surface recon- struction.

Toward Robust Neural Reconstruction from Sparse Point Sets Neural kernel surface recon- struction

Reference 33

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Observation 365c5c5c-5428-4f6b-85e6-48bf9dda395c · outbound

This paper cites Barron, Pieter Abbeel, and Ben Poole.

Toward Robust Neural Reconstruction from Sparse Point Sets Barron, Pieter Abbeel, and Ben Poole

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.152655Z

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Observation 4db40510-6eed-47b0-bc19-4c9c6ae1cef5 · outbound

This paper cites Neural mesh-based graphics.

Toward Robust Neural Reconstruction from Sparse Point Sets Neural mesh-based graphics

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.143405Z

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Observation e2cfd8dd-6dd1-4e90-a5d1-5f66dcdb7beb · outbound

This paper cites Geotransfer: Generalizable few-shot multi-view reconstruc- tion via transfer learning.

Toward Robust Neural Reconstruction from Sparse Point Sets Geotransfer: Generalizable few-shot multi-view reconstruc- tion via transfer learning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.132958Z

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Observation f781dcdb-c389-4813-968e-83df8e2242e5 · outbound

This paper cites Local implicit grid representations for 3d scenes.

Toward Robust Neural Reconstruction from Sparse Point Sets Local implicit grid representations for 3d scenes

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.122589Z

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Observation a4c762b5-c608-4ce6-b6d4-3185430fdfb8 · outbound

This paper cites Neu- ral 3d mesh renderer.

Toward Robust Neural Reconstruction from Sparse Point Sets Neu- ral 3d mesh renderer

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.111902Z

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Observation b4ab562c-10e6-4bed-ade6-0a530003c747 · outbound

This paper cites Screened poisson surface reconstruction.

Toward Robust Neural Reconstruction from Sparse Point Sets Screened poisson surface reconstruction

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.101054Z

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Observation 6d531589-121a-4695-bf5a-8b9e9cf97339 · outbound

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

Toward Robust Neural Reconstruction from Sparse Point Sets 3d gaussian splatting for real-time radiance field rendering

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.089609Z

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Observation a12a9d0f-4a6e-4acf-881c-a96c4aea5195 · outbound

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

Toward Robust Neural Reconstruction from Sparse Point Sets Tanks and temples: Benchmarking large-scale scene reconstruction

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.078325Z

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Observation bfa4c670-1a95-49c7-a33b-b1129a778907 · outbound

This paper cites Provably good moving least squares.

Toward Robust Neural Reconstruction from Sparse Point Sets Provably good moving least squares

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.067589Z

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Observation 9f0f9005-5a38-43e8-8310-ee7220ec7bae · outbound

This paper cites Octree guided unoriented surface reconstruc- tion.

Toward Robust Neural Reconstruction from Sparse Point Sets Octree guided unoriented surface reconstruc- tion

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.056754Z

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Observation ac84ed09-f2cd-4497-a997-df77daeea4e7 · outbound

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

Toward Robust Neural Reconstruction from Sparse Point Sets Learn- ing generalizable light field networks from few images

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.045881Z

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 5b8f5d58-6857-43f1-ba82-d6fd40f7623f · outbound

This paper cites Regulariz- ing neural radiance fields from sparse rgb-d inputs.

Toward Robust Neural Reconstruction from Sparse Point Sets Regulariz- ing neural radiance fields from sparse rgb-d inputs

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.034644Z

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Observation e38e9510-0348-4151-bd0b-d971d05f5397 · outbound

This paper cites Auxiliary Tasks in Multi-task Learning.

Toward Robust Neural Reconstruction from Sparse Point Sets Auxiliary Tasks in Multi-task Learning

Reference 46

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Observation a332dee3-94cf-4433-9d08-fcd0bb9c19dd · outbound

This paper cites Sur- face reconstruction from point clouds without normals by parametrizing the gauss formula.

Toward Robust Neural Reconstruction from Sparse Point Sets Sur- face reconstruction from point clouds without normals by parametrizing the gauss formula

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.181953Z

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Observation 63419c10-de22-42f6-bb64-a6425284c24b · outbound

This paper cites Dynamic plane convolutional occupancy networks.

Toward Robust Neural Reconstruction from Sparse Point Sets Dynamic plane convolutional occupancy networks

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.015978Z

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Observation d5fe2fb1-a2fe-419e-9e5c-04c7410948c1 · outbound

This paper cites Phase transitions, distance functions, and implicit neural representations.

Toward Robust Neural Reconstruction from Sparse Point Sets Phase transitions, distance functions, and implicit neural representations

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:50.006018Z

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Observation 67291194-c887-4fd1-b478-9d77ebb35760 · outbound

This paper cites Learning Smooth Neural Functions via Lipschitz Regularization.

Toward Robust Neural Reconstruction from Sparse Point Sets Learning Smooth Neural Functions via Lipschitz Regularization

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.191168Z

Source-reported events for the cited work

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Observation 5c16526b-dfc4-417f-b9e2-599b55c04315 · outbound

This paper cites Meshing point clouds with predicted intrinsic-extrinsic ratio guidance.

Toward Robust Neural Reconstruction from Sparse Point Sets Meshing point clouds with predicted intrinsic-extrinsic ratio guidance

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.995298Z

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 46af7db5-d306-4d6b-9287-59aed64cfa0e · outbound

This paper cites Deep implicit moving least-squares functions for 3d reconstruction.

Toward Robust Neural Reconstruction from Sparse Point Sets Deep implicit moving least-squares functions for 3d reconstruction

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.984845Z

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 0a4e5d5c-7ccf-46ae-8669-95357821fcfa · outbound

This paper cites Marching cubes: A high resolution 3d surface construction algorithm.

Toward Robust Neural Reconstruction from Sparse Point Sets Marching cubes: A high resolution 3d surface construction algorithm

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.972930Z

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 2336d481-6ea4-4cc9-9d29-0c8d365ea79b · outbound

This paper cites Neural-pull: Learning signed distance functions from point clouds by learning to pull space onto surfaces.

Toward Robust Neural Reconstruction from Sparse Point Sets Neural-pull: Learning signed distance functions from point clouds by learning to pull space onto surfaces

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.961377Z

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 961c329c-18d4-4bb6-8f14-86c02433ad84 · outbound

This paper cites Reconstruct- ing surfaces for sparse point clouds with on-surface priors.

Toward Robust Neural Reconstruction from Sparse Point Sets Reconstruct- ing surfaces for sparse point clouds with on-surface priors

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.950683Z

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 bdecf81b-fcfd-4db8-9319-625044bc9a25 · outbound

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

Toward Robust Neural Reconstruction from Sparse Point Sets Surface reconstruction from point clouds by learning predictive context priors

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.939131Z

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 7c9310af-f834-4d6a-9d6d-5b8ef028cdf4 · outbound

This paper cites Moving level-of-detail surfaces.

Toward Robust Neural Reconstruction from Sparse Point Sets Moving level-of-detail surfaces

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.927437Z

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 90a012b2-6522-4f3d-a87a-27919c2b4a1c · outbound

This paper cites Occupancy networks: Learning 3d reconstruction in function space.

Toward Robust Neural Reconstruction from Sparse Point Sets Occupancy networks: Learning 3d reconstruction in function space

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.913632Z

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Observation 6aad9081-b72e-4451-a9b9-1f3816736fdb · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view synthe- sis.

Toward Robust Neural Reconstruction from Sparse Point Sets Nerf: Representing scenes as neural radiance fields for view synthe- sis

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.902742Z

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Observation c28d35f9-9459-4bbb-b553-dd74cd53ac1c · outbound

This paper cites Distributional Smoothing with Virtual Adversarial Training.

Toward Robust Neural Reconstruction from Sparse Point Sets Distributional Smoothing with Virtual Adversarial Training

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.228846Z

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Observation 2037c511-3347-44e1-9453-44756781523c · outbound

This paper cites Data-driven distributionally robust optimization using the wasserstein met- ric: performance guarantees and tractable reformulations.

Toward Robust Neural Reconstruction from Sparse Point Sets Data-driven distributionally robust optimization using the wasserstein met- ric: performance guarantees and tractable reformulations

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.891434Z

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Observation 34d6d5f9-f115-4bb8-99c2-35b03c3f0602 · outbound

This paper cites Stochastic gra- dient methods for distributionally robust optimization with f-divergences.

Toward Robust Neural Reconstruction from Sparse Point Sets Stochastic gra- dient methods for distributionally robust optimization with f-divergences

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.879012Z

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Observation eda829d7-97f8-4f54-a095-23aa64bc69c5 · outbound

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

Toward Robust Neural Reconstruction from Sparse Point Sets Few’zero level set’- shot learning of shape signed distance functions in feature space

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.866511Z

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Observation d7742e1f-99cf-4b55-85f5-fcb14e8a201f · outbound

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

Toward Robust Neural Reconstruction from Sparse Point Sets Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.246944Z

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Observation 4956ae37-c1c6-4bee-a66d-2843ce1fcf5b · outbound

This paper cites Mixing-denoising generalizable occupancy networks.

Toward Robust Neural Reconstruction from Sparse Point Sets Mixing-denoising generalizable occupancy networks

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.250772Z

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Observation 70397a2b-b3c6-4a79-bb71-245c4e70a068 · outbound

This paper cites Robustifying general- izable implicit shape networks with a tunable non-parametric model.

Toward Robust Neural Reconstruction from Sparse Point Sets Robustifying general- izable implicit shape networks with a tunable non-parametric model

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.848477Z

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Observation 2089f0f8-bcd6-471f-988a-23fd44157c88 · outbound

This paper cites Unsupervised occu- pancy learning from sparse point cloud.

Toward Robust Neural Reconstruction from Sparse Point Sets Unsupervised occu- pancy learning from sparse point cloud

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.838477Z

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Observation 370cf3b5-20e3-4e4d-9281-7ee783404744 · outbound

This paper cites Semanticposs: A point cloud dataset with large quantity of dynamic instances.

Toward Robust Neural Reconstruction from Sparse Point Sets Semanticposs: A point cloud dataset with large quantity of dynamic instances

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.828435Z

Source-reported events for the cited work

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Observation a7855f3e-76ee-4c4d-a4cc-2fc51920af79 · outbound

This paper cites Deepsdf: Learning continuous signed distance functions for shape representation.

Toward Robust Neural Reconstruction from Sparse Point Sets Deepsdf: Learning continuous signed distance functions for shape representation

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.816974Z

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 864b5f8f-900b-47ad-ab4d-0e3267d6f641 · outbound

This paper cites A linear time histogram metric for improved sift matching.

Toward Robust Neural Reconstruction from Sparse Point Sets A linear time histogram metric for improved sift matching

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.805615Z

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 5777ddaa-b31e-4bb7-b467-b6475f5598db · outbound

This paper cites Convolutional occupancy net- works.

Toward Robust Neural Reconstruction from Sparse Point Sets Convolutional occupancy net- works

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.795880Z

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 1d034553-b186-4c8e-ba32-a288dae2b80a · outbound

This paper cites Shape as points: A differentiable poisson solver.

Toward Robust Neural Reconstruction from Sparse Point Sets Shape as points: A differentiable poisson solver

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.785875Z

Source-reported events for the cited work

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Observation bf52306f-1704-4fc3-90fc-6a359015d18c · outbound

This paper cites Distributionally Robust Optimization: A Review.

Toward Robust Neural Reconstruction from Sparse Point Sets Distributionally Robust Optimization: A Review

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.279885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 457cf16a-b34a-4f93-852c-8582fc37c0c0 · outbound

This paper cites Differentiable surface triangulation.

Toward Robust Neural Reconstruction from Sparse Point Sets Differentiable surface triangulation

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.775341Z

Source-reported events for the cited work

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Observation 863dec0c-1f13-4583-b6d0-5419177be270 · outbound

This paper cites The earth mover’s distance as a metric for image retrieval.

Toward Robust Neural Reconstruction from Sparse Point Sets The earth mover’s distance as a metric for image retrieval

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.765384Z

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 4aa1bba6-b5b9-4bc8-81b6-a3beb7699037 · outbound

This paper cites A min-max solution of an inventory problem.

Toward Robust Neural Reconstruction from Sparse Point Sets A min-max solution of an inventory problem

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.755376Z

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 0bb1e7cc-fd0a-4d19-a7f4-de18093ccab0 · outbound

This paper cites Kernel methods for implicit surface modeling.

Toward Robust Neural Reconstruction from Sparse Point Sets Kernel methods for implicit surface modeling

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.743970Z

Source-reported events for the cited work

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Observation 462dd857-4ed8-4da5-bdc6-a225a2c53739 · outbound

This paper cites Distributionally robust logistic regres- sion.

Toward Robust Neural Reconstruction from Sparse Point Sets Distributionally robust logistic regres- sion

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.732378Z

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

Observation 1f5af60f-0547-42fa-9fe7-0ca404aa3417 · outbound

This paper cites Certifying Some Distributional Robustness with Principled Adversarial Training.

Toward Robust Neural Reconstruction from Sparse Point Sets Certifying Some Distributional Robustness with Principled Adversarial Training

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.299692Z

Source-reported events for the cited work

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Observation 1c79b1e1-636b-432c-a469-b8d304548fa0 · outbound

This paper cites Implicit neural representa- tions with periodic activation functions.

Toward Robust Neural Reconstruction from Sparse Point Sets Implicit neural representa- tions with periodic activation functions

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.721174Z

Source-reported events for the cited work

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Observation 110e3319-ad74-45c1-83db-d3c0a8c0c45c · outbound

This paper cites Earth mover’s distances on discrete surfaces.

Toward Robust Neural Reconstruction from Sparse Point Sets Earth mover’s distances on discrete surfaces

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.710041Z

Source-reported events for the cited work

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Observation a30da00c-4b1c-44af-b0fa-acaf42f783c0 · outbound

This paper cites Convolutional wasserstein distances: Ef- ficient optimal transportation on geometric domains.

Toward Robust Neural Reconstruction from Sparse Point Sets Convolutional wasserstein distances: Ef- ficient optimal transportation on geometric domains

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.699474Z

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Observation 64f9efe4-115e-4361-aa15-121d3a5cc39e · outbound

This paper cites Distributionally robust deep learning as a generalization of adversarial training.

Toward Robust Neural Reconstruction from Sparse Point Sets Distributionally robust deep learning as a generalization of adversarial training

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.688910Z

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Observation 0a406806-d0cf-47f9-97c7-ed66192229e6 · outbound

This paper cites Generalizing to unseen domains via adversarial data augmentation.

Toward Robust Neural Reconstruction from Sparse Point Sets Generalizing to unseen domains via adversarial data augmentation

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.675583Z

Source-reported events for the cited work

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Observation e401e11d-aee1-49d9-acf7-edc4490b2358 · outbound

This paper cites Sinkhorn Distributionally Robust Optimization.

Toward Robust Neural Reconstruction from Sparse Point Sets Sinkhorn Distributionally Robust Optimization

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.319285Z

Source-reported events for the cited work

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Observation 221297ed-f40a-4e48-846f-3167ba43cc0c · outbound

This paper cites Vggsfm: Visual geometry grounded deep structure from motion.

Toward Robust Neural Reconstruction from Sparse Point Sets Vggsfm: Visual geometry grounded deep structure from motion

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.664127Z

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 68e371aa-455a-4c60-83d5-3be82312d32a · outbound

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

Toward Robust Neural Reconstruction from Sparse Point Sets Pixel2mesh: Generating 3d mesh models from single rgb images

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.651571Z

Source-reported events for the cited work

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Observation 3f26b319-46f5-4594-8a82-395c76db94ad · outbound

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

Toward Robust Neural Reconstruction from Sparse Point Sets NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.330664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dce7ff3f-20f5-4381-bd3c-621f76259e59 · outbound

This paper cites Deep geometric prior for surface reconstruction.

Toward Robust Neural Reconstruction from Sparse Point Sets Deep geometric prior for surface reconstruction

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.638883Z

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 973085f0-1ddd-4467-83f4-e2ff7de0d174 · outbound

This paper cites Neural splines: Fitting 3d surfaces with infinitely-wide neural networks.

Toward Robust Neural Reconstruction from Sparse Point Sets Neural splines: Fitting 3d surfaces with infinitely-wide neural networks

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.625812Z

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 8be7220c-c043-48bb-8dd7-b1c2e15a68d2 · outbound

This paper cites Neural fields as learnable kernels for 3d reconstruction.

Toward Robust Neural Reconstruction from Sparse Point Sets Neural fields as learnable kernels for 3d reconstruction

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-11T10:42:49.341491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e04457f5-203e-46e4-b46d-8f2f7cee2f8f · outbound

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

Toward Robust Neural Reconstruction from Sparse Point Sets Blendedmvs: A large- scale dataset for generalized multi-view stereo networks

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.607720Z

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 388de008-b448-4bbf-a4cc-70aa3a6c91e6 · outbound

This paper cites V ol- ume rendering of neural implicit surfaces.Advances in Neural Information Processing Systems, 34:4805–4815, 2021.

Toward Robust Neural Reconstruction from Sparse Point Sets V ol- ume rendering of neural implicit surfaces.Advances in Neural Information Processing Systems, 34:4805–4815, 2021

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.594518Z

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 1162cd12-b2a6-4c39-baac-a22e0c904c5d · outbound

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

Toward Robust Neural Reconstruction from Sparse Point Sets Spar- secraft: Few-shot neural reconstruction through stereopsis guided geometric linearization

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.581691Z

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 62946d1d-3c58-452e-b765-350b48dd818b · outbound

This paper cites Dense scene reconstruc- tion with points of interest.

Toward Robust Neural Reconstruction from Sparse Point Sets Dense scene reconstruc- tion with points of interest

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.569880Z

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 7b0ad5fc-025a-4354-bf41-6a482528301b · outbound

This paper cites The DRO framework operates by defining an uncertainty set U, typically modeled as a ball of radiusϵ around an empirical distribution ˆQn , such that U = {Q : d(Q, ˆQn) ≤ ϵ}.

Toward Robust Neural Reconstruction from Sparse Point Sets The DRO framework operates by defining an uncertainty set U, typically modeled as a ball of radiusϵ around an empirical distribution ˆQn , such that U = {Q : d(Q, ˆQn) ≤ ϵ}

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.559160Z

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 a128b8e6-6117-4adc-a9ac-97da330da836 · outbound

This paper cites Varying the point cloud density In order to assess the performance of our method under vari- ous point cloud densities we perform an ablative analysis on the SRB benchmark [89].

Toward Robust Neural Reconstruction from Sparse Point Sets Varying the point cloud density In order to assess the performance of our method under vari- ous point cloud densities we perform an ablative analysis on the SRB benchmark [89]

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.547827Z

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 7eb9c329-db6e-475e-b348-5b51ac421da2 · outbound

This paper cites an unresolved cited work.

Toward Robust Neural Reconstruction from Sparse Point Sets Unresolved cited work

Reference 98

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:42:49.536498Z

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 8b1985c9-bd11-409d-89c3-5d975f9653b2 · outbound

This paper cites an unresolved cited work.

Toward Robust Neural Reconstruction from Sparse Point Sets Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:42:49.525246Z

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 5f240fe2-87bc-490c-8c32-5bbaf0c8d9d2 · outbound

This paper cites Let S and ˆS denote the ground truth and predicted meshes, respectively.

Toward Robust Neural Reconstruction from Sparse Point Sets Let S and ˆS denote the ground truth and predicted meshes, respectively

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:42:49.512790Z

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