Paper Citation Record · LEDGER

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting

As of 11 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 2 inbound Pith citation observations for arXiv:2508.04099.

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

pith.paper-citation-record.v1
2508.04099 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:58:41.788163Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T03:35:41.359735Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:46:24.513631Z

Reference resolution

63 of 63 outbound references displayed

verified exact2
verified fuzzy48
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4df006a3-8478-4543-8c8e-40be1f8dfa4b · outbound

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

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Nerf: Representing scenes as neural radiance fields for view synthesis,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T00:58:34.523563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7973aa7f-f0c8-451c-8600-c07396edc9b8 · outbound

This paper cites Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:54.821468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9bdf5264-9e14-4087-8f61-cf866464135d · outbound

This paper cites Freenerf: Improving few-shot neural rendering with free frequency regularization,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Freenerf: Improving few-shot neural rendering with free frequency regularization,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:54.501294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ab8c9695-b8e8-4d02-b80a-c39ff951805b · outbound

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

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting pixelnerf: Neural radiance fields from one or few images,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:54.320941Z

Source-reported events for the cited work

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Observation b9d7436b-2f04-426e-a65c-5e86c6a1501b · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Instant neural graphics primitives with a multiresolution hash encoding,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:54.127563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9034cdd6-143c-434e-925e-49196556a875 · outbound

This paper cites Direct voxel grid optimization: Super- fast convergence for radiance fields reconstruction,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Direct voxel grid optimization: Super- fast convergence for radiance fields reconstruction,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:53.922425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 24c2acd3-925c-49d1-99b6-9857e78e7ad7 · outbound

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

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting 3d gaussian splatting for real-time radiance field rendering

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T00:58:35.342949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbbb29ad-44b6-4d15-a2a8-2505e393a72f · outbound

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

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Mip-splatting: Alias- free 3d gaussian splatting,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:53.689743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 811a7375-15fb-4258-a560-72c2745678d8 · outbound

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

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Scaffold-gs: Structured 3d gaussians for view-adaptive rendering,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T00:58:35.621585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 535d15c4-39e3-4bf6-b67c-c12e1b832957 · outbound

This paper cites Spec-gaussian: Anisotropic view-dependent appearance for 3d gaussian splatting,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Spec-gaussian: Anisotropic view-dependent appearance for 3d gaussian splatting,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:53.475012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation db047923-56f2-4ec1-951d-6f92abe1de50 · outbound

This paper cites Depth-regularized optimization for 3d gaussian splatting in few-shot images,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Depth-regularized optimization for 3d gaussian splatting in few-shot images,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:53.325604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 56ece164-a397-4520-b5d3-10a8364844ab · outbound

This paper cites LM-Gaussian: Boost Sparse-view 3D Gaussian Splatting with Large Model Priors.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting LM-Gaussian: Boost Sparse-view 3D Gaussian Splatting with Large Model Priors

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T00:58:35.981594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b3f0177-bbf3-404b-979e-903ff77e2056 · outbound

This paper cites Dof-gaussian: Controllable depth-of-field for 3d gaussian splatting,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Dof-gaussian: Controllable depth-of-field for 3d gaussian splatting,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:53.024451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ffe71559-0747-4131-93ec-319d414f7ecc · outbound

This paper cites Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normalization,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Dngaussian: Optimizing sparse-view 3d gaussian radiance fields with global-local depth normalization,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:52.723500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b0bdfce9-cfef-47a9-84f4-821bda9cf87e · outbound

This paper cites A computational approach to edge detection,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting A computational approach to edge detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:52.541997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d35888ea-5b02-467e-b571-0ee09611f4a9 · outbound

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

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Deepsdf: Learning continuous signed distance functions for shape representation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:52.311731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c9e0702f-d689-4cbc-b5d6-00f783c4faa9 · outbound

This paper cites Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Neus: Learning neural implicit surfaces by volume rendering for multi-view reconstruction,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T00:58:36.568581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f241ded-6fae-4912-859a-49a4989e20fa · outbound

This paper cites Neus2: Fast learning of neural implicit surfaces for multi- view reconstruction,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Neus2: Fast learning of neural implicit surfaces for multi- view reconstruction,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:52.088310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 13a39600-1d3d-4fa8-b1ae-0facd1894d4b · outbound

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

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:51.850294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2f8b214e-376d-44b6-947e-eddb17a1de93 · outbound

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

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Mip-nerf 360: Unbounded anti-aliased neural radiance fields,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T00:58:36.994615Z

Source-reported events for the cited work

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Observation 478d740f-dc11-4069-846a-f4ceb7031154 · outbound

This paper cites Plenoctrees for real-time rendering of neural radiance fields,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Plenoctrees for real-time rendering of neural radiance fields,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:51.535417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 98d44c16-87f2-4ec4-893e-f7486896cb9e · outbound

This paper cites Neural sparse voxel fields,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Neural sparse voxel fields,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:51.241826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e87281ba-8ca0-4a79-87e6-bc7076937031 · outbound

This paper cites Plenoxels: Radiance fields without neural networks,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Plenoxels: Radiance fields without neural networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:51.010844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f4b927b9-e812-44b3-bba4-da5ce04052aa · outbound

This paper cites Tensorf: Tensorial radiance fields,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Tensorf: Tensorial radiance fields,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:50.755861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 31edecd9-6433-4ac7-93e7-dfc50c284859 · outbound

This paper cites Efficient neural implicit representation for 3d human reconstruction,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Efficient neural implicit representation for 3d human reconstruction,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:50.510810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 585a1ca8-a6c1-4305-acdc-0a61ad600175 · outbound

This paper cites Vr-nerf: High-fidelity virtualized walkable spaces,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Vr-nerf: High-fidelity virtualized walkable spaces,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:50.207919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 25a5a8b3-9964-4b0c-ba93-175f4d203b73 · outbound

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

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Zip-nerf: Anti-aliased grid-based neural radiance fields,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:50.004291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ac6e4573-f23b-44c7-8ac8-20f0fc5f154b · outbound

This paper cites Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:49.775019Z

Source-reported events for the cited work

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Observation fcdf34fc-3a78-4f1b-826c-ebca46f1ed19 · outbound

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

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Pixelwise view selection for unstructured multi-view stereo,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:49.520579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f24aa959-2b03-4535-b804-bef807a2f813 · outbound

This paper cites Adop: Approximate differentiable one-pixel point rendering,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Adop: Approximate differentiable one-pixel point rendering,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:49.302968Z

Source-reported events for the cited work

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Observation cd5d7c88-42bd-413b-9047-8f0ccdff3ebb · outbound

This paper cites Point-based neural rendering with per-view optimization,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Point-based neural rendering with per-view optimization,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:49.026461Z

Source-reported events for the cited work

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Observation 482af9fb-dc46-452d-a379-58c56a75f15f · outbound

This paper cites Synsin: End-to-end view synthesis from a single image,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Synsin: End-to-end view synthesis from a single image,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:48.730539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c77f1034-5d84-40b0-b144-b4ddf5d6e78c · outbound

This paper cites Broad-to- narrow registration and identification of 3d objects in partially scanned and cluttered point clouds,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Broad-to- narrow registration and identification of 3d objects in partially scanned and cluttered point clouds,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:48.469351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9582192e-0b96-49cd-a386-a9029760b571 · outbound

This paper cites Structgs: Adaptive spherical harmonics and rendering enhancements for superior 3d gaussian splatting,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Structgs: Adaptive spherical harmonics and rendering enhancements for superior 3d gaussian splatting,

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-08-06T00:58:42.743127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d3f1f03f-81d9-46c0-bc31-aa6537c9984c · outbound

This paper cites Gaussianfocus: Constrained attention focus for 3d gaussian splatting,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Gaussianfocus: Constrained attention focus for 3d gaussian splatting,

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-08-06T00:58:42.358638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8c3b0637-04e7-4695-bda3-f7b95af73c56 · outbound

This paper cites Motion-aware 3d gaussian splatting for efficient dynamic scene reconstruction,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Motion-aware 3d gaussian splatting for efficient dynamic scene reconstruction,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:48.233354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5a44884c-880f-42d8-8576-7699ff27ef44 · outbound

This paper cites Gedr: Gaussian- enhanced detail reconstruction for real-time high-fidelity 3d scene reconstruction,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Gedr: Gaussian- enhanced detail reconstruction for real-time high-fidelity 3d scene reconstruction,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:47.874949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0bcade22-3aef-47bc-bc42-296fc9bbe078 · outbound

This paper cites Frpgs: Fast, robust, and photorealistic monocular dynamic scene reconstruction with deformable 3d gaussians,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Frpgs: Fast, robust, and photorealistic monocular dynamic scene reconstruction with deformable 3d gaussians,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:47.612230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 18818095-b384-48bd-a993-eccf3a8ad1bb · outbound

This paper cites Get3dgs: Generate 3d gaussians based on points deformation fields,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Get3dgs: Generate 3d gaussians based on points deformation fields,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:47.323853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b8de92a9-3af6-418e-b78d-6c77ea059e5d · outbound

This paper cites Gps-gaussian: Generalizable pixel-wise 3d gaussian splatting for real- time human novel view synthesis,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Gps-gaussian: Generalizable pixel-wise 3d gaussian splatting for real- time human novel view synthesis,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:47.085183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a73cdf6c-330e-4380-9e67-ece11b605bb1 · outbound

This paper cites 3dgs-avatar: Animatable avatars via deformable 3d gaussian splatting,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting 3dgs-avatar: Animatable avatars via deformable 3d gaussian splatting,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:46.850764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5d4d340a-82df-46d0-9af1-f151fae0ac95 · outbound

This paper cites Multi-scale 3d gaussian splatting for anti-aliased rendering,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Multi-scale 3d gaussian splatting for anti-aliased rendering,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:46.529372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5d238c2a-f161-4c4c-9094-4789a401cb93 · outbound

This paper cites Mesh-aligned 3d gaussian splatting for multi-resolution anti-aliasing rendering,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Mesh-aligned 3d gaussian splatting for multi-resolution anti-aliasing rendering,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:46.354329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ed5f28c3-5e10-453d-9153-ddf2212435c0 · outbound

This paper cites Uncertainty estimation for stereo matching based on evidential deep learning,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Uncertainty estimation for stereo matching based on evidential deep learning,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:46.151183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d529f1f0-70ce-46cb-8511-b7b737a632e2 · outbound

This paper cites Robust training for multi-view stereo networks with noisy labels,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Robust training for multi-view stereo networks with noisy labels,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:45.868374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ae2f638e-e0ae-4dbe-aa02-13d4a4474888 · outbound

This paper cites A contrastive learning based unsupervised multi-view stereo with multi-stage self- training strategy,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting A contrastive learning based unsupervised multi-view stereo with multi-stage self- training strategy,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:45.652321Z

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Observation 75bbfdcf-93bc-4624-b4b6-8af473dd74d5 · outbound

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

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Depth-supervised nerf: Fewer views and faster training for free,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:45.403581Z

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Observation 531af17e-a9e5-49de-ab9b-09338130d503 · outbound

This paper cites Dense depth priors for neural radiance fields from sparse input views,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Dense depth priors for neural radiance fields from sparse input views,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:45.160994Z

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Observation f165edcc-a1ee-48f3-bebd-2cb61cb1083b · outbound

This paper cites D¨arf: Boosting radiance fields from sparse input views with monocular depth adaptation,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting D¨arf: Boosting radiance fields from sparse input views with monocular depth adaptation,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:44.857617Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1213c69d-629f-4fbd-a882-18eed52c427c · outbound

This paper cites Sparsenerf: Distilling depth ranking for few-shot novel view synthesis,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Sparsenerf: Distilling depth ranking for few-shot novel view synthesis,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:44.623376Z

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Observation 27d82b60-2537-4dbf-bca2-783af5f5b830 · outbound

This paper cites Monosdf: Exploring monocular geometric cues for neural implicit surface recon- struction,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Monosdf: Exploring monocular geometric cues for neural implicit surface recon- struction,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:44.361157Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e72f8791-752f-4fcc-b631-af0c75d4c923 · outbound

This paper cites Vision transformers for dense prediction,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Vision transformers for dense prediction,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T00:58:40.142431Z

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Observation d3eb9a1d-0be7-4c01-a23d-a319829f2229 · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Depth anything: Unleashing the power of large-scale unlabeled data,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T00:58:40.255281Z

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Observation 0d1535a8-ea36-4548-ae29-b52279d5d2ec · outbound

This paper cites Depth anything v2,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Depth anything v2,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:44.047411Z

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Observation 41f97adf-52e1-4024-8758-cfe89ee2c70f · outbound

This paper cites Xiong, SparseGS: Real-time 360 ° sparse view synthesis using Gaussian splatting.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Xiong, SparseGS: Real-time 360 ° sparse view synthesis using Gaussian splatting

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:43.791878Z

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Observation 8206999f-86b6-40af-ad44-724487f55858 · outbound

This paper cites Fsgs: Real-time few-shot view synthesis using gaussian splatting,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Fsgs: Real-time few-shot view synthesis using gaussian splatting,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:43.545668Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e49caf8e-9f62-4871-a555-a273fb577efe · outbound

This paper cites Structure-from-motion revisited,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Structure-from-motion revisited,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T00:58:40.895822Z

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Observation f4ccae7c-32fb-4e57-b9a2-42f6a189d482 · outbound

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

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Tanks and temples: Benchmarking large-scale scene reconstruction,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T00:58:41.040513Z

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Observation 79d6ebb6-2015-4fde-a705-6b0bc5e3ae85 · outbound

This paper cites Deep blending for free-viewpoint image-based rendering,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Deep blending for free-viewpoint image-based rendering,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:43.350854Z

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Observation 11eb0143-8755-4af0-9a08-a99fd55a8a7b · outbound

This paper cites Tri-miprf: Tri-mip representation for efficient anti-aliasing neural radiance fields,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Tri-miprf: Tri-mip representation for efficient anti-aliasing neural radiance fields,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:58:43.072717Z

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Observation 95155fc6-b815-4649-b280-8731ab7c8d94 · outbound

This paper cites Neurbf: A neural fields representation with adaptive radial basis functions,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Neurbf: A neural fields representation with adaptive radial basis functions,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T00:58:41.498494Z

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Observation db5e116e-a4af-4cab-9d4d-d0f7e4873e21 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting Image quality assessment: from error visibility to structural similarity,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T00:58:41.680032Z

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Observation d54f476b-a185-4564-a37c-fd4ae2a75ef9 · outbound

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

DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting The unreasonable effectiveness of deep features as a perceptual metric,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T00:58:41.788163Z

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Pith citing papers

Observation 131cec23-fdb1-476e-9183-5ddad37daee8 · inbound

EnerGS: Energy-Based Gaussian Splatting with Partial Geometric Priors cites this paper.

EnerGS: Energy-Based Gaussian Splatting with Partial Geometric Priors DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:46:24.517243Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7100f458-6d02-4fe9-899f-901e5a93db3c · inbound

ConFixGS: Learning to Fix Feedforward 3D Gaussian Splatting with Confidence-Aware Diffusion Priors in Driving Scenes cites this paper.

ConFixGS: Learning to Fix Feedforward 3D Gaussian Splatting with Confidence-Aware Diffusion Priors in Driving Scenes DET-GS: Depth- and Edge-Aware Regularization for High-Fidelity 3D Gaussian Splatting

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:16:25.718679Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.