Paper Citation Record · LEDGER

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors

As of 7 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 6 inbound Pith citation observations for arXiv:2411.18966.

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

pith.paper-citation-record.v1
2411.18966 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T17:20:40.733236Z

measured 45 of 45 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:23:01.789992Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T21:38:58.157729Z

Reference resolution

39 of 39 outbound references displayed

verified exact4
verified fuzzy34
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 286f559b-0a33-4bfa-a161-e2a47e071917 · outbound

This paper cites Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.412242Z

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.

Observation 9b3bb1bb-db48-46dd-b968-f9c47aca1b84 · outbound

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

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Mip-nerf 360: Unbounded anti-aliased neural radiance fields

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.461060Z

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.

Observation bf711f13-fd0c-470f-a065-fe65b51ffca7 · outbound

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

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Mip-nerf 360: Unbounded anti-aliased neural radiance fields

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.386947Z

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.

Observation 5ba43340-7cc5-4139-8f9f-102d2fbda93e · outbound

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

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Zip-nerf: Anti-aliased grid-based neural radiance fields

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.395795Z

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.

Observation ec6c0bc7-f14b-4cc1-ad07-194dff9e6bbc · outbound

This paper cites On the mathematical properties of the structural similarity index.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors On the mathematical properties of the structural similarity index

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.400275Z

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.

Observation 5fa079cb-3e5e-4fe9-9671-0226c164219a · outbound

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

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.456407Z

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.

Observation bf8cd3e4-b7ed-4b98-b304-f742a675b5a3 · outbound

This paper cites High-quality surface re- construction using gaussian surfels.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors High-quality surface re- construction using gaussian surfels

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.433785Z

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.

Observation ed706548-d099-456e-865b-78b39b92a8b7 · outbound

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

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Accurate, dense, and robust multiview stereopsis

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.416769Z

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.

Observation a81753e6-1210-4b57-acc4-32de0062ca26 · outbound

This paper cites Sugar: Surface- aligned gaussian splatting for efficient 3d mesh reconstruc- tion and high-quality mesh rendering.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Sugar: Surface- aligned gaussian splatting for efficient 3d mesh reconstruc- tion and high-quality mesh rendering

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.442262Z

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.

Observation f29ccb24-aed1-40e9-b17d-90682e49b8f1 · outbound

This paper cites Ges: Generalized exponential splatting for efficient radiance field rendering.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Ges: Generalized exponential splatting for efficient radiance field rendering

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.465251Z

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.

Observation e49e93a7-1a87-4091-9d2c-4e7ed74b5f27 · outbound

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

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors 2d gaussian splatting for geometrically ac- curate radiance fields

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.451660Z

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.

Observation 9db48e74-69ba-4c7f-b58c-abc5ab20c893 · outbound

This paper cites Nerf-texture: Texture synthesis with neural radi- ance fields.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Nerf-texture: Texture synthesis with neural radi- ance fields

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.446671Z

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.

Observation 26351ec3-65d5-4d8f-898e-96aa38ab5b55 · outbound

This paper cites Large scale multi-view stereopsis eval- uation.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Large scale multi-view stereopsis eval- uation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.425935Z

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.

Observation 18142bb0-d34d-4bf4-81be-a86377121b6a · outbound

This paper cites NegGS: Negative Gaussian Splatting.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors NegGS: Negative Gaussian Splatting

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:23:15.244291Z

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.

Observation 824ccbab-b8a0-40e1-a691-b851ef5caffb · outbound

This paper cites Poisson surface reconstruction.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Poisson surface reconstruction

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.437563Z

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.

Observation 01874fc0-e9b9-4fe5-96a8-1c87336256a1 · outbound

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

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors 3d gaussian splatting for real-time radiance field rendering

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.407620Z

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.

Observation 4315455d-fc1c-4dc7-a9ad-4ba31fd592aa · outbound

This paper cites an unresolved cited work.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-05-23T18:28:20.420891Z

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.

Observation e8046cb0-55f2-4a21-969c-99774e74184d · outbound

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

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Tanks and temples: Benchmarking large-scale scene reconstruction

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.430118Z

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.

Observation 2c6d98b0-7f95-4e75-ae78-7b82bd12196f · outbound

This paper cites 3D-HGS: 3D Half-Gaussian Splatting.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors 3D-HGS: 3D Half-Gaussian Splatting

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:23:15.255847Z

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.

Observation f4a6b719-7b65-40a3-9d51-00df2ebf6547 · outbound

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

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Sur- face reconstruction from point clouds without normals by parametrizing the gauss formula

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.391696Z

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.

Observation ce52b594-3333-43b6-a1f3-2eabb75e54c4 · outbound

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

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Scaffold-gs: Structured 3d gaussians for view-adaptive rendering

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.530269Z

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.

Observation 855ca1d9-ff2d-4cda-a874-4d722be132f2 · outbound

This paper cites P-mvsnet: Learning patch-wise matching confidence aggregation for multi-view stereo.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors P-mvsnet: Learning patch-wise matching confidence aggregation for multi-view stereo

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.506674Z

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.

Observation aaa5a181-ffc0-4dd7-9c0e-b923b34e7cb8 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.493717Z

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.

Observation 2757a69f-a82b-4060-ab53-b50a8252cb65 · outbound

This paper cites Polyfit: Polygonal surface reconstruction from point clouds.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Polyfit: Polygonal surface reconstruction from point clouds

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.469266Z

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.

Observation 5ddbd436-e5a0-4d1c-adee-164048e7033c · outbound

This paper cites Openmvs: Open multi-view stereo reconstruc- tion library.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Openmvs: Open multi-view stereo reconstruc- tion library

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.479171Z

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.

Observation 89d14741-c02c-46fe-872e-029a395f91bd · outbound

This paper cites Structure- from-motion revisited.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Structure- from-motion revisited

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.536545Z

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.

Observation dcfb4e07-99f8-4285-99d8-742098d76fd5 · outbound

This paper cites Pixelwise view selection for un- structured multi-view stereo.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Pixelwise view selection for un- structured multi-view stereo

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.540876Z

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.

Observation 3bcf6afc-c299-484a-acf1-0e08f46f7796 · outbound

This paper cites A comparison and evalua- tion of multi-view stereo reconstruction algorithms.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors A comparison and evalua- tion of multi-view stereo reconstruction algorithms

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.545128Z

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.

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

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

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.

Observation 87b6d490-18fb-469f-a1d5-61981333c698 · outbound

This paper cites Rfeps: Re- constructing feature-line equipped polygonal surface.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Rfeps: Re- constructing feature-line equipped polygonal surface

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.519835Z

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.

Observation 7f6f9c35-18ab-4c89-ab43-6a1c9a8ac422 · outbound

This paper cites Globally consistent normal orientation for point clouds by regularizing the winding-number field.ACM Transactions on Graphics (TOG), 42(4):1–15.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Globally consistent normal orientation for point clouds by regularizing the winding-number field.ACM Transactions on Graphics (TOG), 42(4):1–15

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.502443Z

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.

Observation 3a2e5d6e-74b2-4090-aa03-a8b2fdf678ab · outbound

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

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Mvsnet: Depth inference for unstructured multi-view stereo

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.474163Z

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.

Observation 49af3fa4-5916-4d25-81f1-f57ad8d9e660 · outbound

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

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Recurrent mvsnet for high-resolution multi-view stereo depth inference

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.489297Z

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.

Observation 12aebd4e-90d7-4237-b254-8c599de0d424 · outbound

This paper cites V ol- ume rendering of neural implicit surfaces.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors V ol- ume rendering of neural implicit surfaces

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.510845Z

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.

Observation 4229dbd3-5f08-44a5-9076-b9249ab7e175 · outbound

This paper cites Fast-mvsnet: Sparse-to- dense multi-view stereo with learned propagation and gauss- newton refinement.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Fast-mvsnet: Sparse-to- dense multi-view stereo with learned propagation and gauss- newton refinement

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.515379Z

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.

Observation f0cd5058-7ef6-4fcb-ae1d-4e2ca045a699 · outbound

This paper cites Mip-splatting: Alias-free 3d gaussian splat- ting.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Mip-splatting: Alias-free 3d gaussian splat- ting

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.524361Z

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.

Observation afa858e1-443d-4d67-b437-67de4386d6a2 · outbound

This paper cites Vis-mvsnet: Visibility-aware multi-view stereo net- work.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors Vis-mvsnet: Visibility-aware multi-view stereo net- work

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.498029Z

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.

Observation 0c4a7939-bf87-480e-bd97-b03c4e95c529 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors The unreasonable effectiveness of deep features as a perceptual metric

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T18:28:20.484411Z

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.

Observation 96c17d67-f37e-4da5-9d44-fe2cf4998d93 · outbound

This paper cites images 4.

SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors images 4

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:23:15.261827Z

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.

Pith citing papers

Observation f7f8884d-46c4-4e81-a080-25dbe14f11c1 · inbound

ColorGS: High-fidelity Surgical Scene Reconstruction with Colored Gaussian Splatting cites this paper.

ColorGS: High-fidelity Surgical Scene Reconstruction with Colored Gaussian Splatting SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T16:23:01.789992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e963b9e1-c96a-461f-b5c1-73f7144c14f4 · inbound

FACT-GS: Frequency-Aligned Complexity-Aware Texture Reparameterization for 2D Gaussian Splatting cites this paper.

FACT-GS: Frequency-Aligned Complexity-Aware Texture Reparameterization for 2D Gaussian Splatting SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-17T04:41:31.428884Z

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.

Observation 735d862d-e755-45e0-9970-0af7c5e52d11 · inbound

A$^2$TG: Adaptive Anisotropic Textured Gaussians for Efficient 3D Scene Representation cites this paper.

A$^2$TG: Adaptive Anisotropic Textured Gaussians for Efficient 3D Scene Representation SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T10:44:00.838430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5d0786a-ae91-4e09-b95a-c5c04c58684d · inbound

3D Skew Gaussian Splatting with Any Camera Trajectory Visualization Engine cites this paper.

3D Skew Gaussian Splatting with Any Camera Trajectory Visualization Engine SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-20T11:28:14.600036Z

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.

Observation fe934629-91e5-470c-8038-d2d7880fc7eb · inbound

GADA: Geometry-Aware Deformable Aggregation for Image-Based Gaussian Splatting cites this paper.

GADA: Geometry-Aware Deformable Aggregation for Image-Based Gaussian Splatting SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T14:57:03.861071Z

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.

Observation 78cf5a10-bc0f-4960-aa44-01757b904f39 · inbound

GADA: Geometry-Aware Deformable Aggregation for Image-Based Gaussian Splatting cites this paper.

GADA: Geometry-Aware Deformable Aggregation for Image-Based Gaussian Splatting SVGS: Enhancing Gaussian Splatting Using Primitives with Spatially Varying Colors

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T21:38:58.158997Z

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.