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Paper Citation Record · LEDGER

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

As of 7 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 90 inbound Pith citation observations for arXiv:2106.10689.

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

pith.paper-citation-record.v1
2106.10689 v3

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T20:17:59.252362Z

measured 144 of 144 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 90 of 90 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:31:47.270198Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T14:47:14.524189Z

Reference resolution

54 of 54 outbound references displayed

  • verified exact10
  • verified fuzzy39
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b79c1fc-b100-47e3-806c-27fb278c92ef · outbound

This paper cites Sal: Sign agnostic learning of shapes from raw data.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Sal: Sign agnostic learning of shapes from raw data

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 58c5bec3-a3ee-4c77-a525-1e116946176b · outbound

This paper cites Patchmatch: A ran- domized correspondence algorithm for structural image editing.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Patchmatch: A ran- domized correspondence algorithm for structural image editing

Reference 2

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verified fuzzy
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Source-reported events for the cited work

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Observation 08f1d304-cc32-4051-a324-cd6202f0a4d7 · outbound

This paper cites A probabilistic framework for space carving.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction A probabilistic framework for space carving

Reference 3

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Source-reported events for the cited work

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Observation 4178835f-2775-46ff-8a93-809aff5ec51b · outbound

This paper cites Chen and H.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Chen and H

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f065391b-e674-462a-826a-9fa9e2544cc3 · outbound

This paper cites 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction 3d-r2n2: A unified approach for single and multi-view 3d object reconstruction

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1abe61eb-f1fd-4006-a24e-737de0e0cedb · outbound

This paper cites Poxels: Probabilistic voxelized volume reconstruction.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Poxels: Probabilistic voxelized volume reconstruction

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ad60b3d7-7e4b-4a63-9e88-7e6dce4fea0b · outbound

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

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction A point set generation network for 3d object reconstruction from a single image

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 93d2c4a1-8842-4915-a236-7317fede6a98 · outbound

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

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Accurate, dense, and robust multiview stereopsis

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4df101da-2ccd-43e8-8570-84c4b41fdcdf · outbound

This paper cites Gipuma: Massively parallel multi- view stereo reconstruction.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Gipuma: Massively parallel multi- view stereo reconstruction

Reference 9

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verified fuzzy
raw_fallback, observed 2026-05-16T20:17:59.440073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4294f5c4-7108-415d-81fd-a919968f3e43 · outbound

This paper cites Implicit Geometric Regularization for Learning Shapes.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Implicit Geometric Regularization for Learning Shapes

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 746abc54-a7ac-4740-b999-35e347ad17d9 · outbound

This paper cites Large scale multi-view stereopsis evaluation.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Large scale multi-view stereopsis evaluation

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3d24b83a-e098-423d-8934-bde84ae11450 · outbound

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

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Sdfdiff: Differentiable rendering of signed distance fields for 3d shape optimization

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9e4cfb22-be71-4d54-839a-23ac4b377f57 · outbound

This paper cites Learning a Multi-View Stereo Machine.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Learning a Multi-View Stereo Machine

Reference 13

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cc85ccf1-3c5e-4c61-aeaa-936e7f482ddd · outbound

This paper cites Neural 3d mesh renderer.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Neural 3d mesh renderer

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a49c6bc9-88aa-4cd3-b9fb-ffc3cc674bb8 · outbound

This paper cites Differentiable volume rendering using signed distance functions.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Differentiable volume rendering using signed distance functions

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a383600d-1991-4ed4-99d3-fa02b5a1036b · outbound

This paper cites Screened poisson surface reconstruction.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Screened poisson surface reconstruction

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c6bdaa2d-7dde-40b4-9d32-de0e5d6fab85 · outbound

This paper cites Neural Lumigraph Rendering.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Neural Lumigraph Rendering

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:17:59.280616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 31659fa2-3a29-4d7d-8bff-57fef31c1fc3 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Adam: A Method for Stochastic Optimization

Reference 18

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c7e9294e-7056-4c60-b70a-68de44c755b1 · outbound

This paper cites Learning efficient point cloud generation for dense 3d object reconstruction.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Learning efficient point cloud generation for dense 3d object reconstruction

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 35ec4e9b-a8fc-4ab1-9f74-9c2a5cb4f98f · outbound

This paper cites an unresolved cited work.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e826ccde-4c69-42d6-929b-9a7310ba4c11 · outbound

This paper cites an unresolved cited work.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Unresolved cited work

Reference 21

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Source-reported events for the cited work

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Observation e45d50f2-be0e-4ad0-afb5-c87bc01614f8 · outbound

This paper cites Neural sparse voxel fields.Advances in Neural Information Processing Systems, 33.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Neural sparse voxel fields.Advances in Neural Information Processing Systems, 33

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 944fa197-7e1f-46db-bc8e-28f7523eb576 · outbound

This paper cites Dist: Rendering deep implicit signed distance function with differentiable sphere tracing.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Dist: Rendering deep implicit signed distance function with differentiable sphere tracing

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0b512c89-3452-4f9c-9a2c-05b210ddfb81 · outbound

This paper cites Neural volumes: Learning dynamic renderable volumes from images.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Neural volumes: Learning dynamic renderable volumes from images

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e38c820a-2255-4ce5-9bbe-6e6a49ded461 · outbound

This paper cites 3D-LMNet: Latent embedding matching for accurate and diverse 3d point cloud reconstruction from a single image.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction 3D-LMNet: Latent embedding matching for accurate and diverse 3d point cloud reconstruction from a single image

Reference 25

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verified fuzzy
raw_fallback, observed 2026-05-16T20:17:59.369095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cb96acc9-890e-452d-8f19-330f08a39353 · outbound

This paper cites Real-time visibility-based fusion of depth maps.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Real-time visibility-based fusion of depth maps

Reference 26

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8ad9f1da-5ec6-4f22-90ab-0215f1ca856e · outbound

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

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Occupancy networks: Learning 3d reconstruction in function space

Reference 27

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raw_fallback, observed 2026-05-16T20:17:59.374925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d656fca6-9a00-4e22-a3d2-9bfdbfa8a8e7 · outbound

This paper cites Pontes, Dominic Jack, Mahsa Baktashmotlagh, and An- ders Eriksson.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Pontes, Dominic Jack, Mahsa Baktashmotlagh, and An- ders Eriksson

Reference 28

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raw_fallback, observed 2026-05-16T20:17:59.378532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 703fa37d-cd15-427c-8014-f56be1b3293b · outbound

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

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T20:17:59.381246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b8eb7a78-3814-4cce-a588-9cbe3fb50f08 · outbound

This paper cites Differentiable volu- metric rendering: Learning implicit 3d representations without 3d supervision.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Differentiable volu- metric rendering: Learning implicit 3d representations without 3d supervision

Reference 30

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raw_fallback, observed 2026-05-16T20:17:59.384336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 97f31928-cd0c-4740-b764-89abb5c19e96 · outbound

This paper cites UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction

Reference 31

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verified exact
arxiv_id, observed 2026-05-16T20:17:59.296361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 27aa43b9-6616-4356-a82b-306a8544db76 · outbound

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

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Deepsdf: Learning continuous signed distance functions for shape representation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T20:17:59.387621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:51e259a52889a5eb1754e31fb830f3d2ab75755122d970dc2d1f22224f09a533

Observation 4fb03413-41ce-44d8-b6b2-110caf901a4a · outbound

This paper cites Convolutional Occupancy Networks.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Convolutional Occupancy Networks

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:17:59.305696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:38ba500ce53b8ea8f760dc2b510f2efe11042dd881cd5e3ae6d85aad3ca5c9f6

Observation a8c85db3-2e3b-473f-ac3a-be42ff60e093 · outbound

This paper cites Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T20:17:59.389792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:b9652e0aeec9a968849580abb7ba92a6bef4492679d55c77c73dfefc56f7cbb0

Observation 011623c4-fdbb-40fa-a2d4-7e55c494da26 · outbound

This paper cites Pifuhd: Multi-level pixel- aligned implicit function for high-resolution 3d human digitization.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Pifuhd: Multi-level pixel- aligned implicit function for high-resolution 3d human digitization

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T20:17:59.391758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:96ad428b88c695aabdcf246fc58cbc45647daa3db2cf9828eaca546b72e3e80d

Observation 8fe1da14-adb1-41ea-82d7-1b6932accddd · outbound

This paper cites Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-16T20:17:59.286519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:ab77443dd79306818e90181f343ff17790e89044a29ac89429aee23adee167f2

Observation ccb8b5ca-f28d-4c8b-810b-1f0829b7687b · outbound

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

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Pixelwise view selection for unstructured multi-view stereo

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T20:17:59.393559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:2c8f5acb11d81c3334f4c628623458e7b1d266d493607c28ed4cd30aeb8dc298

Observation c2fa10a2-c8ef-47fc-9703-6098b0906738 · outbound

This paper cites Photorealistic scene reconstruction by voxel coloring.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Photorealistic scene reconstruction by voxel coloring

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T20:17:59.395501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:7a10ee2ba1cca557f02a39dca5e16b9b04fb6e28ffbd77fd326d77b7731665cf

Observation 0e47fa99-9d6e-4664-b75c-18ebc17f644d · outbound

This paper cites Deepvoxels: Learning persistent 3d feature embeddings.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Deepvoxels: Learning persistent 3d feature embeddings

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T20:17:59.397558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:b1f6ee0c488c472c61b31c720f1eddc3fc3363436733810e5351a1583ffd4f3e

Observation 81175a9d-eaec-42eb-9f2e-eae115368c02 · outbound

This paper cites Scene representation networks: Continuous 3d-structure-aware neural scene representations.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Scene representation networks: Continuous 3d-structure-aware neural scene representations

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T20:17:59.400394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:1a079ac33633188e02d2dbad02ee91520a316a8ad21d28060846e67a2aa7c36b

Observation b2e3d5c6-aa90-4eca-a03b-6a15061e74f8 · outbound

This paper cites an unresolved cited work.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Unresolved cited work

Reference 41

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:c51851d2f5927afe2dc1d1491c3b5cc7b75e1f70f439818257987ce503599213

Observation 71426ec0-ba48-4e8d-907f-82c1269f2258 · outbound

This paper cites Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Reference 42

Resolution
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arxiv_id, observed 2026-05-16T20:17:59.334507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:6e4db7224aa03f914b8f176d95f4607e272154a1a7c36780a91faee837bce2bb

Observation 70efe6b5-292d-418c-bb2b-ad9bf836bc0c · outbound

This paper cites GRF: Learning a General Radiance Field for 3D Representation and Rendering.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction GRF: Learning a General Radiance Field for 3D Representation and Rendering

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:17:59.275445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:ff57d8dc65f72a3b21a17407b800f32c45b62ece5a29fdab217266cee8658a16

Observation 2ce115a9-a919-4f94-a5fb-d8c9feb6eeb4 · outbound

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

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Pixel2mesh: Generating 3d mesh models from single rgb images

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T20:17:59.404913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:6941894d4056f79d0a8ccd366e7e9c468c100003f2d7fa08676a0df0e157a7a4

Observation a15f8ffd-45be-47b0-8e32-f5e841851234 · outbound

This paper cites Vid2curve: Simultaneous camera motion estimation and thin structure reconstruction from an rgb video.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Vid2curve: Simultaneous camera motion estimation and thin structure reconstruction from an rgb video

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T20:17:59.407084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:95f91c4056d6326dc0fff19edd124ed4e473dd4c8f900e6b65fac68f7b5a14d7

Observation 9968dd35-2a84-44f7-9ae5-60b7bc96000f · outbound

This paper cites Pixel2mesh++: Multi-view 3d mesh generation via deformation.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Pixel2mesh++: Multi-view 3d mesh generation via deformation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T20:17:59.409258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:7482d211fab4233f065e217ca955aa17c16581d3ed0009934bca6c0e085d0b9b

Observation b19f1416-00f9-435a-b0b7-d02a47bf4276 · outbound

This paper cites Pix2vox: Context-aware 3d reconstruction from single and multi-view images.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Pix2vox: Context-aware 3d reconstruction from single and multi-view images

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T20:17:59.411213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:ea778deba2282c3b044435d19a15cb88566564bbeffbce6e303690e28e56f37a

Observation cd0cca18-f53c-4a93-8746-0898e4f19372 · outbound

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

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Blendedmvs: A large-scale dataset for generalized multi-view stereo networks

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T20:17:59.413183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:3c9405b43d524fb33e81652743f5eac703c3ea0a9db00fecf98c64d45d7a122c

Observation c1434fcd-2331-436b-bf14-318d4cc1935c · outbound

This paper cites Multiview neural surface reconstruction by disentangling geometry and appearance.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Multiview neural surface reconstruction by disentangling geometry and appearance

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T20:17:59.415139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:6c944e8bcc0abc1fada42f5951c2906114d45250855b92aa2517de6b7f8f0822

Observation 521a3be2-695b-4eb0-9938-b9578ae52fc8 · outbound

This paper cites Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Iso-Points: Optimizing Neural Implicit Surfaces with Hybrid Representations

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:17:59.311198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:0aefa6eb0d82c261b1716a7dfc4a0bda8eeda06065b33e2db6e53c76bd24ddd2

Observation cb12bf20-af47-4dc2-9690-2cb9ac91320a · outbound

This paper cites A globally optimal algorithm for robust tv-l1 range image integration.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction A globally optimal algorithm for robust tv-l1 range image integration

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T20:17:59.417174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:581d86df011712dd00ce1eb78a19e55903745bf082440c39306ad320a4b604a2

Observation 5831d289-5842-43ef-8730-d2f8789249b9 · outbound

This paper cites PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:17:59.323842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:e303ab5ca04791f71da11c87fd502d8f48101941f8c3ed81b1c86e57c0fa4518

Observation 5df0d261-9ec7-4313-a7e1-4bb6c662bc89 · outbound

This paper cites NeRF++: Analyzing and Improving Neural Radiance Fields.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction NeRF++: Analyzing and Improving Neural Radiance Fields

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:17:59.329200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:f1391cc45311284e5de3336d7845b48ab97dbcb3b3e117f4e92a06b59c58f8e3

Observation be986954-39aa-4deb-9f61-d7cb7ffb76e3 · outbound

This paper cites Here we perform a local analysis at¯t near the surface intersectiont∗, wheref(p(t∗)) = 0, ¯t =t∗+∆t.

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Here we perform a local analysis at¯t near the surface intersectiont∗, wheref(p(t∗)) = 0, ¯t =t∗+∆t

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T20:17:59.421181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:17:59.252362Z digest=sha256:65fb4facddf648c13e0752435600a70d280a154630dce5d7b0cd2f0608906653

Pith citing papers

Observation 83ec7518-b112-422e-961a-bfa9882a6ca2 · inbound

PREF: Phasorial Embedding Fields for Compact Neural Representations cites this paper.

PREF: Phasorial Embedding Fields for Compact Neural Representations NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-24T11:59:25.010118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T11:56:15.396088Z digest=sha256:2f398676539cbd27e040db6ed6107557940f693dd0b57b28456ab30bbdf4b628

Observation 10f5be77-e145-412c-9fce-8f49aab7807e · inbound

A Geometric Algorithm for Blood Vessel Reconstruction from Skeletal Representation cites this paper.

A Geometric Algorithm for Blood Vessel Reconstruction from Skeletal Representation NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-24T03:48:52.926112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-24T03:48:19.463336Z digest=sha256:b3e3f8331d307301dc60d8e7c386076285a2471eb55892d6c1f5810e1247c94e

Observation 00f08b3c-e4ca-407a-ab8f-6d0dfb8216e1 · inbound

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

Neural Surface Reconstruction from Sparse Views Using Epipolar Geometry NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 42

Resolution
metadata mismatch
local_arxiv, observed 2026-05-24T00:13:39.385081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T00:10:58.531867Z digest=sha256:2a66f3e88e5316ed1ddcf37bf8062277ccff97ea42f87669e4007cdc538f6009

Observation 86101923-be12-4745-ad2e-3b6fb0bff3e7 · inbound

MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion cites this paper.

MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motion NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 153

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:17:59.448638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T14:41:13.120099Z digest=sha256:b3c39f9194652eedd4019168643959a203d5c9c803b102ef15608282328c03df

Observation 9be55e96-b606-4c42-b5ae-79ea1d8f62ca · inbound

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors cites this paper.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-05-23T17:23:15.249696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T17:20:40.733236Z digest=sha256:33b38650c05e1a927760e4195e7b8e24917d02141441cf1f06bce9cdb574216d

Observation 994dd4b8-565b-496d-a024-0e61969adb92 · inbound

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction cites this paper.

Rig3R: Rig-Aware Conditioning for Learned 3D Reconstruction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T11:31:47.270198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:31:47.270198Z digest=sha256:5a668a81dc975e5230b16206cc51217293895fffcf45308cb4281ea16bb0b436

Observation 109681bb-710f-4810-8ae1-fda6971a1b34 · inbound

SplArt: Articulation Estimation and Part-Level Reconstruction with 3D Gaussian Splatting cites this paper.

SplArt: Articulation Estimation and Part-Level Reconstruction with 3D Gaussian Splatting NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T11:07:32.492442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:07:32.492442Z digest=sha256:e2c4eee748c2b4759d6915117a06caa9ad2915c385847826f6716a3a3d4cde88

Observation 3a0a386d-95be-46f9-bc95-42a39745b180 · inbound

Uniform Sampling of Surfaces by Casting Rays cites this paper.

Uniform Sampling of Surfaces by Casting Rays NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T10:36:40.116496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:36:40.116496Z digest=sha256:7987234524c9b1b6ada18e3c5d9ee5c1d03673f6c2c6e442ce3e326a3909a43d

Observation 04aad233-9fac-4545-811b-80f69fd3f87b · inbound

PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers cites this paper.

PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:01.904760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:18:01.904760Z digest=sha256:fc19ba292cbeb8246edeb9c5adf4bc8fd4478da98f368e80be26ca42a34cbe5d

Observation b0f8280d-2f03-4ff0-a829-98aec31d4073 · inbound

NAT: Neural Acoustic Transfer for Interactive Scenes in Real Time cites this paper.

NAT: Neural Acoustic Transfer for Interactive Scenes in Real Time NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T06:06:39.614956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:06:39.614956Z digest=sha256:9307dbaac4c23d2fbd82f27709776403fbfe3f822117ff87cdcb1aba69911e07

Observation 54afa2a0-7542-45ca-90f2-53d3b614058c · inbound

Power Diagram Enhanced Adaptive Isosurface Extraction from Signed Distance Fields cites this paper.

Power Diagram Enhanced Adaptive Isosurface Extraction from Signed Distance Fields NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T04:50:28.214395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:50:28.214395Z digest=sha256:8b2e1a2bd31ea3cac87eea0714985b1b0b11c74b1718357f025fe2eda5ab74ca

Observation ee99390e-42a3-4697-b30d-894dd0de0996 · inbound

Prompting with the Future: Open-World Model Predictive Control with Interactive Digital Twins cites this paper.

Prompting with the Future: Open-World Model Predictive Control with Interactive Digital Twins NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T00:31:00.484978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:31:00.484978Z digest=sha256:f4de610f57d873322931f3a2c9be9e17d867afa08063decdd6421bcd4d93af6d

Observation 8ee5a8d4-a1f1-4702-8232-20c566a36326 · inbound

Instant GaussianImage: A Generalizable and Self-Adaptive Image Representation via 2D Gaussian Splatting cites this paper.

Instant GaussianImage: A Generalizable and Self-Adaptive Image Representation via 2D Gaussian Splatting NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T21:47:14.305372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:47:14.305372Z digest=sha256:779ca64ea121b99e6bfd6327a4622c89ec43e5a0a433f185597b7bd1ea701180

Observation b257d550-c782-44fc-b631-f6c835ebda5b · inbound

HiNeuS: High-fidelity Neural Surface Mitigating Low-texture and Reflective Ambiguity cites this paper.

HiNeuS: High-fidelity Neural Surface Mitigating Low-texture and Reflective Ambiguity NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:14.816734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:14.816734Z digest=sha256:46973eecbce8356a80d6b10b18f70ad8643ae74be7bd0cca280b06b9d89f1e72

Observation 43d8da8d-6add-4e60-a7f9-7145b25edb35 · inbound

TextMesh4D: Zero-shot Text-to-4D Mesh Generation cites this paper.

TextMesh4D: Zero-shot Text-to-4D Mesh Generation NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 60

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no resolver link, observed 2026-08-06T21:28:49.926754Z

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source=pdf_text observed=2026-08-06T21:28:49.926754Z digest=sha256:9e8c3a2f6d75e32384b6a73a79fce9684b471d1bdf1388e67f09337cf272782e

Observation d8819819-1c00-4da0-a3fd-8c597d2090b1 · inbound

DiGA3D: Coarse-to-Fine Diffusional Propagation of Geometry and Appearance for Versatile 3D Inpainting cites this paper.

DiGA3D: Coarse-to-Fine Diffusional Propagation of Geometry and Appearance for Versatile 3D Inpainting NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 37

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no resolver link, observed 2026-08-06T21:21:09.577876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:21:09.577876Z digest=sha256:1126d417278d5d74ee35b225875c0a2d055990d1443b5e8ee9438645ea41e8f4

Observation 3a4a57ba-c9b9-4e35-88fb-4229cef5054d · inbound

LocalDyGS: Multi-view Global Dynamic Scene Modeling via Adaptive Local Implicit Feature Decoupling cites this paper.

LocalDyGS: Multi-view Global Dynamic Scene Modeling via Adaptive Local Implicit Feature Decoupling NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 44

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no resolver link, observed 2026-08-06T20:35:31.129532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:35:31.129532Z digest=sha256:a67cfcfe024b9615e0641959071d6afb08216bdc2ad359d73890021882bbc6de

Observation 70e141f0-4f10-4eb4-9453-7f03b7f370f4 · inbound

Mechanics Simulation with Implicit Neural Representations of Complex Geometries cites this paper.

Mechanics Simulation with Implicit Neural Representations of Complex Geometries NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 25

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no resolver link, observed 2026-08-06T20:26:07.611943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:26:07.611943Z digest=sha256:934e06c65417a85163f4194ba30d73d92ba2fa41c58b7ab109cdafc1081cbc62

Observation 23453878-eec8-4780-9fca-abf55c9ec5f8 · inbound

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving cites this paper.

LoomNet: Enhancing Multi-View Image Generation via Latent Space Weaving NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 47

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no resolver link, observed 2026-08-06T19:29:51.843028Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T19:29:51.843028Z digest=sha256:11ddd72eaaa588e1143031598d0ebf26cf4cafb9e866a42c3116d226ae4471e9

Observation e848a7d6-5493-4d1a-8061-3429ed96d109 · inbound

Gaussian Process-Based Active Exploration Strategies in Vision and Touch cites this paper.

Gaussian Process-Based Active Exploration Strategies in Vision and Touch NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 56

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no resolver link, observed 2026-08-06T19:31:24.283427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:31:24.283427Z digest=sha256:84eab22dffe718c3f5aac80cd177cf4ebcbc56e85c01aff9ac0b4088f3bc01b7

Observation 79640877-33fd-48e1-81ee-5186ab7be5db · inbound

DreamGrasp: Zero-Shot 3D Multi-Object Reconstruction from Partial-View Images for Robotic Manipulation cites this paper.

DreamGrasp: Zero-Shot 3D Multi-Object Reconstruction from Partial-View Images for Robotic Manipulation NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 42

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no resolver link, observed 2026-08-06T19:26:19.816221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:26:19.816221Z digest=sha256:e0c79a76544978fa9f91c94446f8a6f10536ee0745faaf5ca097142c7dbeaa3f

Observation 8175b070-ece9-4495-b824-1f73bb13b4bb · inbound

EscherNet++: Simultaneous Amodal Completion and Scalable View Synthesis through Masked Fine-Tuning and Enhanced Feed-Forward 3D Reconstruction cites this paper.

EscherNet++: Simultaneous Amodal Completion and Scalable View Synthesis through Masked Fine-Tuning and Enhanced Feed-Forward 3D Reconstruction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 53

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unresolved
no resolver link, observed 2026-08-06T18:45:44.947561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:45:44.947561Z digest=sha256:88a157b22e7140208a1af808763a20c865fa20968893da7f1afaff532c5d8af6

Observation 3f12ba5d-5bb9-4785-a822-02ef4205f104 · inbound

InstaScene: Towards Complete 3D Instance Decomposition and Reconstruction from Cluttered Scenes cites this paper.

InstaScene: Towards Complete 3D Instance Decomposition and Reconstruction from Cluttered Scenes NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T18:24:53.264316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:24:53.264316Z digest=sha256:3ecde63346c76a85033505e1cb1562f301e55c897d4646ea29feb49699ce8e28

Observation b91cbd31-668d-4250-98b1-37921c0ed881 · inbound

Robust 3D-Masked Part-level Editing in 3D Gaussian Splatting with Regularized Score Distillation Sampling cites this paper.

Robust 3D-Masked Part-level Editing in 3D Gaussian Splatting with Regularized Score Distillation Sampling NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 61

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unresolved
no resolver link, observed 2026-08-06T17:25:35.824058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:25:35.824058Z digest=sha256:b9dc2ddb5f45e08914ee395b0db4a0eabf33f2b172a045a625cb18cc2a9f42c0

Observation 5212e86d-50a3-4257-b9cf-b8e8f972d9d1 · inbound

A Mixed-Primitive-based Gaussian Splatting Method for Surface Reconstruction cites this paper.

A Mixed-Primitive-based Gaussian Splatting Method for Surface Reconstruction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 3

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no resolver link, observed 2026-08-06T17:21:31.576642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:21:31.576642Z digest=sha256:c800791c6691aa3511b80e3b84b314bedbbd3abbc716d6f661711195689b7a49

Observation f3549db1-e509-48e0-a9c1-e7f4453bad6d · inbound

High-fidelity 3D Gaussian Inpainting: preserving multi-view consistency and photorealistic details cites this paper.

High-fidelity 3D Gaussian Inpainting: preserving multi-view consistency and photorealistic details NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 3

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unresolved
no resolver link, observed 2026-08-06T14:44:56.755785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:44:56.755785Z digest=sha256:bf3c99057d3e87680d613414397ecb6f89ab2a7a4e3899b6706a8708becb9498

Observation e028b1c2-0c33-468e-aebf-5dab14c46e7c · inbound

GS-Occ3D: Scaling Vision-only Occupancy Reconstruction with Gaussian Splatting cites this paper.

GS-Occ3D: Scaling Vision-only Occupancy Reconstruction with Gaussian Splatting NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 78

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no resolver link, observed 2026-08-06T14:22:13.416901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:22:13.416901Z digest=sha256:9a99ebbae9a88fd382968f4fe9f95df874a40a2410f57ff9239b230e19112495

Observation 47f411de-8754-4d66-9dc6-787b56d9e739 · inbound

Robust and Efficient 3D Gaussian Splatting for Urban Scene Reconstruction cites this paper.

Robust and Efficient 3D Gaussian Splatting for Urban Scene Reconstruction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T11:16:26.206245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:16:26.206245Z digest=sha256:1eee867d4662d884ace6bc5a027ca2d4c2a0c2fbc914df2d9b3e8d8804381684

Observation 05fd149f-0d49-4c03-a783-714a18503706 · inbound

PixNerd: Pixel Neural Field Diffusion cites this paper.

PixNerd: Pixel Neural Field Diffusion NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 44

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unresolved
no resolver link, observed 2026-08-06T10:59:53.775528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:59:53.775528Z digest=sha256:d0b35466fd36df35ea198fb5eb2973936f4cbe0cdb58399c87ddbd8976bcdb70

Observation c7ed4e22-8854-4af6-bb30-65c8e9379128 · inbound

NeRF Is a Valuable Assistant for 3D Gaussian Splatting cites this paper.

NeRF Is a Valuable Assistant for 3D Gaussian Splatting NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 58

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no resolver link, observed 2026-08-06T10:54:22.731288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:54:22.731288Z digest=sha256:fb253e93d058866d0daeb3a482ce20f5a70b7a95d17fa44ca97d6dea9c03ef6f

Observation e802b91e-6651-4b37-9c9a-4687e3f61280 · inbound

Construction of Digital Terrain Maps from Multi-view Satellite Imagery using Neural Volume Rendering cites this paper.

Construction of Digital Terrain Maps from Multi-view Satellite Imagery using Neural Volume Rendering NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 13

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unresolved
no resolver link, observed 2026-08-06T05:46:01.105854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:46:01.105854Z digest=sha256:6f2d8a434dcc54609fd93a8fa36d0fde321c840de4dc6f6ac451d6dc07324f1a

Observation 89c623f1-7c71-4e1c-9ba8-5d6bb8ae8de1 · inbound

ScrewSplat: An End-to-End Method for Articulated Object Recognition cites this paper.

ScrewSplat: An End-to-End Method for Articulated Object Recognition NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 14

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unresolved
no resolver link, observed 2026-08-06T05:15:41.522794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:15:41.522794Z digest=sha256:ce47728403f7c5a520dadf797bf1cc060fed80765bde4a3aaec7ab77f277b3e9

Observation ecd97e40-64aa-4a92-aab2-e40dbfb41632 · inbound

Hydrodynamic Effects in Cryogenic Buffer Gas Cells: Design Insights from Hybrid Simulations cites this paper.

Hydrodynamic Effects in Cryogenic Buffer Gas Cells: Design Insights from Hybrid Simulations NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 7

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unresolved
no resolver link, observed 2026-08-06T00:05:52.934288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:05:52.934288Z digest=sha256:1a4d6138e93ad4779f9f3315489fedc006de75bbea7ffc7fc83d676f0800651e

Observation 33bdb6fe-08c7-49bf-a7b1-96eb66d96f26 · inbound

Multi-view Normal and Distance Guidance Gaussian Splatting for Surface Reconstruction cites this paper.

Multi-view Normal and Distance Guidance Gaussian Splatting for Surface Reconstruction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T21:58:05.234785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:58:05.234785Z digest=sha256:c64011c28257a27771bcbde7b53bbdd22d77cd0b99f1b617f6fb4a94cfb1b872

Observation 58d3d06f-0359-448d-a317-d6401276dac1 · inbound

Speed Always Wins: A Survey on Efficient Architectures for Large Language Models cites this paper.

Speed Always Wins: A Survey on Efficient Architectures for Large Language Models NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 60

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unresolved
no resolver link, observed 2026-08-05T20:53:09.612525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:53:09.612525Z digest=sha256:3f68c230e269b88e50e65e9fd6f9d1e64880de0926449b1224f99b072907ed0b

Observation 2fa4d675-8ffa-4e92-9fb4-fd2294e5bbdb · inbound

STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer cites this paper.

STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 33

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unresolved
no resolver link, observed 2026-08-05T20:18:39.229535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:18:39.229535Z digest=sha256:05dac782d4ba1794762dc6837acc9a8c85a0e2b4d68578d2c6706008fd94373f

Observation 914bc66e-4e4d-4875-a1b0-f073bbe79b46 · inbound

GOGS: High-Fidelity Geometry and Relighting for Glossy Objects via Gaussian Surfels cites this paper.

GOGS: High-Fidelity Geometry and Relighting for Glossy Objects via Gaussian Surfels NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 2

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no resolver link, observed 2026-08-05T18:31:19.237622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:31:19.237622Z digest=sha256:197c7b74f31d10d456f7cadb17a655c0eedde8d6775ed1dc91375b5cdcc615ad

Observation dadd4a89-76ed-4140-96e0-34a596d23482 · inbound

ExtraGS: Geometric-Aware Trajectory Extrapolation with Uncertainty-Guided Generative Priors cites this paper.

ExtraGS: Geometric-Aware Trajectory Extrapolation with Uncertainty-Guided Generative Priors NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T17:53:41.031938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:53:41.031938Z digest=sha256:60cac20bf80948dfd49236a65c2e12aae54e1edafaf99bd878a58e21b5621813

Observation 65ef147e-f186-4d01-9f7f-c34785b7a348 · inbound

UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot Pose Estimation cites this paper.

UnPose: Uncertainty-Guided Diffusion Priors for Zero-Shot Pose Estimation NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 58

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unresolved
no resolver link, observed 2026-08-05T17:42:03.536589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:42:03.536589Z digest=sha256:b3d624c43e2430d55ab499a7874981740d95f2b6692a5705e301ec689f867ff4

Observation f9271f88-626f-40ca-8bf8-e2ce798ffbd3 · inbound

PanoHair: Detailed Hair Strand Synthesis on Volumetric Heads cites this paper.

PanoHair: Detailed Hair Strand Synthesis on Volumetric Heads NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 36

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unresolved
no resolver link, observed 2026-08-05T16:09:08.114342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:09:08.114342Z digest=sha256:76e71e2d570a96fd666bbad3e49026b9c96a3502eadb1edbd76ff391c756b50a

Observation eca94e7b-95e9-46b7-a832-e541569b9757 · inbound

Doctoral Thesis: Geometric Deep Learning For Camera Pose Prediction, Registration, Depth Estimation, and 3D Reconstruction cites this paper.

Doctoral Thesis: Geometric Deep Learning For Camera Pose Prediction, Registration, Depth Estimation, and 3D Reconstruction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 247

Resolution
unresolved
no resolver link, observed 2026-08-05T12:10:09.565246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:10:09.565246Z digest=sha256:4fc909a8707cec178a08d0275705f2881becc2f03b46d436c88065cd53e052d6

Observation d03c456d-7822-471c-86d6-62d9f220f447 · inbound

PAOLI: Pose-free Articulated Object Learning from Sparse-view Images cites this paper.

PAOLI: Pose-free Articulated Object Learning from Sparse-view Images NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-18T18:46:45.112681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T18:45:53.746965Z digest=sha256:b9b52025ef7365aacee6c54504cc2b6f98060c96cf32052b8b06120ae477e601

Observation 69ddfec9-0ca0-4048-99ea-856a90b9ceab · inbound

SynthDrive: Scalable Real2Sim2Real Sensor Simulation Pipeline for High-Fidelity Asset Generation and Driving Data Synthesis cites this paper.

SynthDrive: Scalable Real2Sim2Real Sensor Simulation Pipeline for High-Fidelity Asset Generation and Driving Data Synthesis NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T23:06:34.015211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:06:34.015211Z digest=sha256:ed6a9a30857ee34d80afb0154537ec58210a62216516e2514cbd3b2a3f0368b9

Observation 3dbf075b-6162-414a-a25a-6444fac3b72e · inbound

DreamLifting: A Plug-in Module Lifting MV Diffusion Models for 3D Asset Generation cites this paper.

DreamLifting: A Plug-in Module Lifting MV Diffusion Models for 3D Asset Generation NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-18T18:31:44.209583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T18:30:11.391966Z digest=sha256:d0c62a3362fac9d9fbb08c5bce1acae0666da6d6a56b78059a9c23e976e86309

Observation 82fc72ba-db06-4bac-8bac-ea1e89e66503 · inbound

Effective Gaussian Management for High-fidelity Scene Reconstruction cites this paper.

Effective Gaussian Management for High-fidelity Scene Reconstruction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 6

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unresolved
no resolver link, observed 2026-08-04T16:42:06.775342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:42:06.775342Z digest=sha256:dfa23bdde7b0a6f9fe1f2aeb027547dcee4491961a460517351699e3a39b8f35

Observation a41f944d-ef18-4ff9-b696-8e2c4ca102d4 · inbound

Geometry-Aware Scene Configurations for Novel View Synthesis cites this paper.

Geometry-Aware Scene Configurations for Novel View Synthesis NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-18T07:36:02.869663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T07:33:53.144259Z digest=sha256:abf1aed3017a5009bce990f3aec8957f54996f6389457df168f477787950f382

Observation 7750d637-abec-44cd-8640-517216022fba · inbound

Scaling Up Occupancy-centric Driving Scene Generation: Dataset and Method cites this paper.

Scaling Up Occupancy-centric Driving Scene Generation: Dataset and Method NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-04T08:07:45.666725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:07:45.666725Z digest=sha256:0c157324b931d56c2d94153e1875e82f9dfaa56322fdad2e0f7fe868351f9085

Observation a9430637-6b2d-47f2-913e-8b46ba309fb8 · inbound

MetroGS: Efficient and Stable Reconstruction of Geometrically Accurate High-Fidelity Large-Scale Scenes cites this paper.

MetroGS: Efficient and Stable Reconstruction of Geometrically Accurate High-Fidelity Large-Scale Scenes NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-17T06:24:09.804586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T06:22:18.157688Z digest=sha256:00c6503021467f79d1c7a2dfcae16f09e00a9daa7be613c0d07b01f40b47a287

Observation 3ede459a-b62f-4ce9-a222-e0f2a4bb3bf2 · inbound

Muses: Designing, Composing, Generating Nonexistent Fantasy 3D Creatures without Training cites this paper.

Muses: Designing, Composing, Generating Nonexistent Fantasy 3D Creatures without Training NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-03T12:23:34.162385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:23:34.162385Z digest=sha256:ee4a58153f60e415d481082477d28cea846243a3e66ff4e9fe4d12bd19ebc592

Observation 22664b87-e4e5-4776-b9c5-69cc4a413e77 · inbound

PokeNet: Learning Kinematic Models of Articulated Objects from Human Observations cites this paper.

PokeNet: Learning Kinematic Models of Articulated Objects from Human Observations NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T05:19:07.317806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:19:07.317806Z digest=sha256:b9fe94eb3160312ac667cf489013d0d6ec67f77f008d4feecd2ad4daf37572d8

Observation 70726917-63cf-48d5-82ae-6225f33087df · inbound

TACO: Temporal Consensus Optimization for Continual Neural Mapping cites this paper.

TACO: Temporal Consensus Optimization for Continual Neural Mapping NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-21T14:00:13.079231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T13:59:59.051876Z digest=sha256:684caa5d10576611d97aa6fa01d25a9bd965c2020a038e891851a1a7dc0f3844

Observation cbaf4524-29c7-40b8-a0c5-c8b536dee69e · inbound

TACO: Temporal Consensus Optimization for Continual Neural Mapping cites this paper.

TACO: Temporal Consensus Optimization for Continual Neural Mapping NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-03T04:42:34.309571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:42:34.309571Z digest=sha256:93d491aa86ae29f494283823d894d8275d9957ca943b24b11be7c3a7a6929b0e

Observation 5b1b28f9-82d1-41c1-8eca-a2eb1e76b44a · inbound

ForeHOI: Feed-forward 3D Object Reconstruction from Daily Hand-Object Interaction Videos cites this paper.

ForeHOI: Feed-forward 3D Object Reconstruction from Daily Hand-Object Interaction Videos NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-03T04:04:20.540507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:04:20.540507Z digest=sha256:ec27c14e9da5ccd91e59e6bc4a68d9395bf2c6e668763300c022d900c81a0bb8

Observation 2215e35b-84be-4ae3-82f9-5ee409dffb16 · inbound

Neural Harmonic Textures for High-Quality Primitive Based Neural Reconstruction cites this paper.

Neural Harmonic Textures for High-Quality Primitive Based Neural Reconstruction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T20:17:59.448638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T22:21:30.528663Z digest=sha256:e36c9f69c6b186cbb1aa22abed281a0ac3a4708670b00c2a8dbe72a5618ec651

Observation a5150547-07f6-4c92-b596-8f2d6509cd51 · inbound

Neural Harmonic Textures for High-Quality Primitive Based Neural Reconstruction cites this paper.

Neural Harmonic Textures for High-Quality Primitive Based Neural Reconstruction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 60

Resolution
unresolved
no resolver link, observed 2026-07-13T14:31:36.020496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T14:31:36.020496Z digest=sha256:1d7bfbffc7fa29f59075569c1ba37776fa7039c5096fb9556d9fadb250cb8535

Observation c998213f-8a6a-433d-8bc3-9359153ab9b1 · inbound

THOM: Generating Physically Plausible Hand-Object Meshes From Text cites this paper.

THOM: Generating Physically Plausible Hand-Object Meshes From Text NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:17:59.448638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T20:43:52.218942Z digest=sha256:a948b16e782e0c3c3221305d92b12b8bdfade3fedaa48cb1606fbbc8ba0afebe

Observation a707854a-83d9-4d3f-bdad-68cf9ee712a0 · inbound

SurfelSplat: Learning Efficient and Generalizable Gaussian Surfel Representations for Sparse-View Surface Reconstruction cites this paper.

SurfelSplat: Learning Efficient and Generalizable Gaussian Surfel Representations for Sparse-View Surface Reconstruction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:17:59.448638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:50:16.817965Z digest=sha256:0b748f44ed74f000e2341a2d02506997148383d060951aa08d1f972028ce29fd

Observation 825e66a3-6bbc-4db5-bb66-7df603760b6a · inbound

Hitem3D 2.0: Multi-View Guided Native 3D Texture Generation cites this paper.

Hitem3D 2.0: Multi-View Guided Native 3D Texture Generation NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:17:59.448638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T18:22:06.855986Z digest=sha256:231ac3c4a52cafa16cdd8125b1bf06e386766456dbfa8ca18b0cb4f92fdae3fd

Observation d1e7d284-1e7d-4fba-80a1-7d07a745d349 · inbound

A Geometric Algebra-informed NeRF Framework for Generalizable Wireless Channel Prediction cites this paper.

A Geometric Algebra-informed NeRF Framework for Generalizable Wireless Channel Prediction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:17:59.448638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:09:43.037568Z digest=sha256:0e178e22d15d01fdca0cdb4ecead7675b5263142e4799e9ffc24c9a3478644ed

Observation 73cc9a0e-e1ff-469d-9b96-cf921d92d1a7 · inbound

Attention Is not Everything: Efficient Alternatives for Vision cites this paper.

Attention Is not Everything: Efficient Alternatives for Vision NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:17:59.448638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T05:46:33.053449Z digest=sha256:0a1644872ced3aeb9246df369f2ce158f11aba1b52cbb5281db49765cdba4a75

Observation 07992826-7feb-4928-8133-7bd545298825 · inbound

SpUDD: Superpower Contouring of Unsigned Distance Data cites this paper.

SpUDD: Superpower Contouring of Unsigned Distance Data NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T20:17:59.448638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T00:37:06.932660Z digest=sha256:41c02b380a21fa20c161b4bfb75ee68adb94df28ff5fd9a8734b4e3025bc92d0

Observation 09973bf3-f18e-4855-8a2c-1ba9608594e4 · inbound

PAGaS: Pixel-Aligned 1DoF Gaussian Splatting for Depth Refinement cites this paper.

PAGaS: Pixel-Aligned 1DoF Gaussian Splatting for Depth Refinement NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:17:59.448638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T12:38:21.848758Z digest=sha256:aa008e721801f3d89912eb5e0e0e7a6d49e3fd769f94c8723df29fcb906c070a

Observation 1f325222-6879-49f5-922c-f1f8b125fd5c · inbound

Greed for the Spheres: A Signed Distance Interpolation Method cites this paper.

Greed for the Spheres: A Signed Distance Interpolation Method NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 4

Resolution
malformed identifier
arxiv_id, observed 2026-05-16T20:17:59.448638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T19:24:29.535359Z digest=sha256:9b31f9ed66d7d13a700ff860d0cdf2bf2f56b4162d242b64f01c697d62cca973

Observation 45c2f1b2-388e-4d61-aacf-130b844d5660 · inbound

First Shape, Then Meaning: Efficient Geometry and Semantics Learning for Indoor Reconstruction cites this paper.

First Shape, Then Meaning: Efficient Geometry and Semantics Learning for Indoor Reconstruction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:17:59.448638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T17:58:24.243165Z digest=sha256:0cd4ef6babd0785fdb1cfcdaad11f08ab166a1d801a175220c89df7927b5cea0

Observation e5a1ef2b-108c-4cec-8898-0faa18591712 · inbound

High-Fidelity Single-Image Head Modeling with Industry-Grade Topology cites this paper.

High-Fidelity Single-Image Head Modeling with Industry-Grade Topology NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 150

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T20:17:59.448638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T17:25:00.241104Z digest=sha256:bca85b7c35fba7d473662c941656a67eb661dc8814b903d62dc2f6932e49517c

Observation 7020eea9-c96c-45b7-976e-2f2352637b89 · inbound

Scalable GPU Construction of 3D Voronoi and Power Diagrams cites this paper.

Scalable GPU Construction of 3D Voronoi and Power Diagrams NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T20:17:59.448638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T03:14:44.100860Z digest=sha256:568ba41299f7ba7e5572680fb2f9b9c1e0787537fc2d6aa633b17191a0a6248e

Observation 7e17a41d-72ed-4fc9-b4b4-6087519d8cb3 · inbound

Sat3R: Satellite DSM Reconstruction via RPC-Aware Depth Fine-tuning cites this paper.

Sat3R: Satellite DSM Reconstruction via RPC-Aware Depth Fine-tuning NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:17:59.448638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T01:24:52.441791Z digest=sha256:b430e5537a023c96579104d024682a9c102420ed534cef83b23855bf3e1fdc8e

Observation 4c92561d-e6a6-4388-8a7a-69c40725a49e · inbound

LagrangianSplats: Divergence-Free Transport of Gaussian Primitives for Fluid Reconstruction cites this paper.

LagrangianSplats: Divergence-Free Transport of Gaussian Primitives for Fluid Reconstruction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 95

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T20:17:59.448638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T03:04:30.056684Z digest=sha256:a637f881d38704fe7aaf8f82b68afa515287bdb93fdbc106f2c489813f5b7a48

Observation 86e62e4d-1f8d-4614-8750-f19439fd73bd · inbound

Attention Itself Could Retrieve.RetrieveVGGT: Training-Free Long Context Streaming 3D Reconstruction via Query-Key Similarity Retrieval cites this paper.

Attention Itself Could Retrieve.RetrieveVGGT: Training-Free Long Context Streaming 3D Reconstruction via Query-Key Similarity Retrieval NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:17:59.448638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T04:34:27.255728Z digest=sha256:3ae52901c85744d1ff4020406db67c31bc135fe5a6083019e80ab8ea42681f4c

Observation 4fa958c7-97c5-416f-9d4d-411b1dc2cf45 · inbound

TOPOS: High-Fidelity and Efficient Industry-Grade 3D Head Generation cites this paper.

TOPOS: High-Fidelity and Efficient Industry-Grade 3D Head Generation NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T20:17:59.448638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T01:34:21.780341Z digest=sha256:c6482dea1a88f6173e047bd70c605b28013a066850e7306a1db2622c0cb5bf59

Observation 5a2d715a-5d13-4322-a0ad-3347230ada9d · inbound

IVGT: Implicit Visual Geometry Transformer for Neural Scene Representation cites this paper.

IVGT: Implicit Visual Geometry Transformer for Neural Scene Representation NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T18:38:52.721406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T18:35:44.754954Z digest=sha256:6b65e2ffbe48c45c510fbf2bdf36db6bf2d9265cfbb9d2390ca8dcc31ff8bb52

Observation 0a784e70-6ea4-4e4b-b3f0-17df45a97c9c · inbound

IVGT: Implicit Visual Geometry Transformer for Neural Scene Representation cites this paper.

IVGT: Implicit Visual Geometry Transformer for Neural Scene Representation NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T09:21:21.313483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T09:20:02.648274Z digest=sha256:211c727d4aa556ab5515cb256b73ebafc08eef876feb3a4962bfa66aa79fdc66

Observation 0a7484ac-7957-4917-b22b-e56ae5615b46 · inbound

ArtMesh: Part-Aware Articulated Mesh Fields with Motion-Consistent Dynamics cites this paper.

ArtMesh: Part-Aware Articulated Mesh Fields with Motion-Consistent Dynamics NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-20T18:48:53.528690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T18:44:37.390184Z digest=sha256:03b9b6728d8eb3e69eb67389fc6621d1f80b1c31e28271dbb1d635ef23e5b1b9

Observation 56b9b9cb-fb4e-4c00-a7a7-9412a5bcb3f2 · inbound

GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction cites this paper.

GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-25T04:40:23.990825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T04:37:47.777425Z digest=sha256:4b1cdff10a0a5002fd78178d370f806c3d3fb1e16ec5a41196e1e08c143c3aac

Observation 4478402d-5eb5-4315-b94c-85cdf7ff8c60 · inbound

Towards 3D heart mesh generation using contactless radar imaging and physics-informed neural network cites this paper.

Towards 3D heart mesh generation using contactless radar imaging and physics-informed neural network NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-06-29T23:14:01.100612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T23:13:35.385169Z digest=sha256:f7feeb050948b90e3e5e434f596905fde129b93b469271feb9660648a0a6c2d0

Observation 38e930c7-0e67-456b-ad3d-2348b44d1b43 · inbound

GARDEN: Gravity-Aligned Reconstruction of Disentangled ENvironments from RGB images cites this paper.

GARDEN: Gravity-Aligned Reconstruction of Disentangled ENvironments from RGB images NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-07-02T02:46:28.518201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T10:40:13.795382Z digest=sha256:a6520dfcd4d9cad496bedea4fc698a6d481a2675d068660988c27c84acac3242

Observation 08f0c966-09c0-47c5-8c6e-e055a37ac90b · inbound

MeshFlow: Efficient Artistic Mesh Generation via MeshVAE and Flow-based Diffusion Transformer cites this paper.

MeshFlow: Efficient Artistic Mesh Generation via MeshVAE and Flow-based Diffusion Transformer NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-07-02T07:46:46.663959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T06:37:01.352710Z digest=sha256:06a0853b303e2ed9b5fa461d0484c2d9ad00916dce70b3d3387a1e44a3efd9d9

Observation 832bf2a9-e644-4549-bc29-0f1d76ba432f · inbound

Self-Learning Expression Deformations for Data-Efficient Gaussian Avatars cites this paper.

Self-Learning Expression Deformations for Data-Efficient Gaussian Avatars NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-07-02T12:36:56.718656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T02:01:33.830178Z digest=sha256:3ddf4b34af1eaf0562f40bc51c49d543e37a797ec8dcf99528fe4052fbc570c6

Observation 78de7bbc-ce54-429a-bbba-c915606af51c · inbound

Wispy to Voluminous: Prior-free Multi-view Capture of Strand-level Facial Hair cites this paper.

Wispy to Voluminous: Prior-free Multi-view Capture of Strand-level Facial Hair NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 77

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T22:07:26.752744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T19:06:56.847779Z digest=sha256:f03040fe8b7bd9ce02d8fcdab047737ecfc3b9917b6dc7aa9cbde0f2885370df

Observation 4a0328db-4af8-4245-81f9-b4f112decb21 · inbound

GraspFoM: Towards Reconstruction-Driven Robotic Grasping with 3D Foundation Priors cites this paper.

GraspFoM: Towards Reconstruction-Driven Robotic Grasping with 3D Foundation Priors NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:37:25.868371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T18:47:30.907614Z digest=sha256:a2a443d0cc977016ba8d13290df4e4e8994660b232678683a7a9d7b07c4eb11b

Observation 434afdab-6042-4d3c-96a8-64b6d26b142b · inbound

VEPHand: View-Efficient Photometric Hand Performance Capture at Scale cites this paper.

VEPHand: View-Efficient Photometric Hand Performance Capture at Scale NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 81

Resolution
verified exact
local_arxiv, observed 2026-07-03T17:48:45.514932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T03:52:18.411651Z digest=sha256:3be9d227ef1897de36f6ab13f686d692f58577ad37a559a682edd576ff5ace60

Observation 0e680296-60a4-4dbc-8312-086ee70229c2 · inbound

Meshtryoshka: Differentiable Rendering of Real-World Scenes via Mesh Rasterization cites this paper.

Meshtryoshka: Differentiable Rendering of Real-World Scenes via Mesh Rasterization NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 23

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T16:15:49.860165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-30T00:45:24.773043Z digest=sha256:09eb10fbc1418c9d9d1487f3e87143eab9f8c153cb3e809350f4c319c1a75d66

Observation 72a53063-08bc-4056-ac1c-8eabf1b66f06 · inbound

HSDF-Lane: Height-Aligned Signed Distance Field with Semantic Lane Prior for 3D Lane Detection cites this paper.

HSDF-Lane: Height-Aligned Signed Distance Field with Semantic Lane Prior for 3D Lane Detection NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 48

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T09:35:40.294627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T06:26:21.805666Z digest=sha256:d50cc57b343a08057ab08f7f281fcf256ad5a07edd7acf8c6044e84c61209ab9

Observation 7d0d865d-1e4c-45ac-b8fc-d2ea02fc99f1 · inbound

Beyond Thermal Imaging: Inferring Thermophysical Properties from Time-Resolved Thermal Observations cites this paper.

Beyond Thermal Imaging: Inferring Thermophysical Properties from Time-Resolved Thermal Observations NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 35

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T14:47:14.525440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-10T14:40:31.767011Z digest=sha256:82ae3f2ad1953053e4b597443f7aafa0d075f136653983ff4940617f8bc59afc

Observation 2ff2ecfa-65e4-43ba-b026-d972c53c1fba · inbound

$K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs cites this paper.

$K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T02:11:50.994316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:11:50.994316Z digest=sha256:aa26b5ba5149dca3c89dc2ff61cf4da23f919bb523ad478713d0acda6e1f6610

Observation 947aca0a-ac2a-4925-9daf-7a2a2a1e223a · inbound

G$^2$SR: Geometric Methods for Fast and Memory-Efficient Gaussian-based Surface Reconstruction cites this paper.

G$^2$SR: Geometric Methods for Fast and Memory-Efficient Gaussian-based Surface Reconstruction NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T02:03:07.709272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:03:07.709272Z digest=sha256:63034a7a4c1cf14e8ad926d7498d657046db22ffcb2822c6bec8ecab869ec980

Observation 609d5973-8360-4e62-92e5-93851bfe939e · inbound

Online Neural Space Time Memory for Dynamic Novel View Synthesis cites this paper.

Online Neural Space Time Memory for Dynamic Novel View Synthesis NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-01T23:44:33.125690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:44:33.125690Z digest=sha256:9f650e1b8c9176bcfaf5a0276f1a75c74013f5eaf202ea7b2b7112ae1dbf85d3

Observation 4888710e-6e3a-43df-986d-38ec4181d066 · inbound

Masked Topology Modeling for Self-Supervised Learning on Parametric CAD cites this paper.

Masked Topology Modeling for Self-Supervised Learning on Parametric CAD NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-01T09:54:43.143452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:54:43.143452Z digest=sha256:f810ecc216ac9a2f062c2f0686ffa6dd200790dbe23fdb57d82cbad94b7be9de

Observation 8c45d6db-f284-49e6-9304-a701fec6c423 · inbound

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion cites this paper.

Axolotl3D: a Unified Framework for Faithful 3D Shape Completion NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-01T09:45:39.384833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T09:45:39.384833Z digest=sha256:f3d9c0fe3b290b6ddc27bfa782bb00ed8345f6f37cd772b3dd156a2cff7c9b00

Observation fa6a93e7-371f-4ba9-8960-a9bf0908fa54 · inbound

Fashion-3DLR: A Controllable 3D Garment Generation Using Pairwise Fashion Elements for Intelligent Design cites this paper.

Fashion-3DLR: A Controllable 3D Garment Generation Using Pairwise Fashion Elements for Intelligent Design NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T03:25:26.399846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:25:26.399846Z digest=sha256:ce808eba36bc086ca64e3af4a99cc8f4288e46a4c4c31ef1beb26bfaff1e45a0