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Paper Citation Record · LEDGER

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation

As of 4 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 4 inbound Pith citation observations for arXiv:2508.09977.

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

pith.paper-citation-record.v1
2508.09977 v4

Coverage vector

measured 100 of 300 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T22:39:24.200019Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:16:00.535049Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-19T15:12:37.656269Z

Reference resolution

100 of 300 outbound references displayed

  • verified exact14
  • verified fuzzy85
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 04700371-c2a1-40fe-91d5-4df1d8ccdd92 · outbound

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

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation 3d gaussian splatting for real-time radiance field rendering

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:55.016521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:facda8f395badb31887ee7cb24f3c0f938b4494ae2a82fb9b351022514ede5fe

Observation ecddf603-6d29-4e7d-881a-ab167d68e96d · outbound

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

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:54.863639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:cdfa7343b438af3606f9642b83f31bfa5c562211a02439d20615cff57306c92d

Observation 36ce5fee-0509-468b-a976-c191511a9e5c · outbound

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

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Scaffold- gs: Structured 3d gaussians for view-adaptive rendering

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:55.002444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:bb31ca54d7ef1fb29743e620c913b34ecca874809a84c297d7ca25afea7126de

Observation 598b3ba1-0b74-4969-8cb5-3d2f108dced9 · outbound

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

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:54.949606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:44bb44003d0e4983fbafa828012042362d27b8e6992092a0d3e3a56343428910

Observation e7f0aa64-001c-4522-81c3-0c2b7ea22a83 · outbound

This paper cites Gs-slam: Dense visual slam with 3d gaussian splatting.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Gs-slam: Dense visual slam with 3d gaussian splatting

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.468074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:ed2b9d0bda9e2ba454f0b68f1de1c7decc7a9939efb604e9dcd21aa18d189eee

Observation 5265ac4c-7e49-403a-8d79-8673b9ccb377 · outbound

This paper cites Gaussianavatars: Photorealistic head avatars with rigged 3d gaussians.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Gaussianavatars: Photorealistic head avatars with rigged 3d gaussians

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.528160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:b2492262f61652392b93b6c1230d9cd1794a1ccb48d55694e8cea8d03acd8f90

Observation ddf46710-c1b0-4219-bde6-7081ddb4bdc4 · outbound

This paper cites ReferSplat: Referring segmentation in 3d gaussian splatting.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation ReferSplat: Referring segmentation in 3d gaussian splatting

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.510478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:45344e0a31bf7a7918bbe2a2312d9f24d457861ae88a9fbaddd3c13990692247

Observation a43a1be3-1114-417d-88f7-7117463e45e6 · outbound

This paper cites Gaussianeditor: Swift and controllable 3d editing with gaussian splatting.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Gaussianeditor: Swift and controllable 3d editing with gaussian splatting

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.523909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:d5b293f5e794973cd4947508cf629daeef3abdb4a5986a594f872fff53011cbe

Observation 2a7c9b8b-4129-4011-b65f-5f77c2b5c06e · outbound

This paper cites Dreamgaussian: Generative gaussian splatting for efficient 3d content creation.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Dreamgaussian: Generative gaussian splatting for efficient 3d content creation

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.531849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:0f65b08c04cc842703d4a128f745c789d80958ea650c9faf0101c285f9ea9f8b

Observation ed02cfd5-7bce-4e2b-aa90-56f623e2190d · outbound

This paper cites A Survey on 3D Gaussian Splatting.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation A Survey on 3D Gaussian Splatting

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-18T22:41:53.252096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:a4fb2a2b8d9c906a948c265cde0e9d458c313a1246d74cfbad85e7138a7c9b25

Observation 0f32591b-3ad0-4702-abe7-65f92318e883 · outbound

This paper cites 3D Gaussian Splatting in Robotics: A Survey.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation 3D Gaussian Splatting in Robotics: A Survey

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:41:53.125998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:03be5a81854704dfcbdbfd051f4e549de39c0ba58e2b7430a55e38cce152706b

Observation 6ba070b9-2b07-45c4-8856-3d1ec0a40ad3 · outbound

This paper cites 3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation 3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-10T02:11:09.447194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:edcc3125cf36d2c1d8b12c80750e6e0386a1516f83eb4939179bc4942fef8b91

Observation 98280607-72ee-4a1f-9c61-225bf5be2d88 · outbound

This paper cites Compression in 3D Gaussian Splatting: A Survey of Methods, Trends, and Future Directions.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Compression in 3D Gaussian Splatting: A Survey of Methods, Trends, and Future Directions

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:41:53.241048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:cbe66e9beb907da3ca06042d11eaae0bde5619a4174c81f43ca7f94df4beb0a7

Observation 93c085c1-3a62-46d3-a4df-c79071e1fe67 · outbound

This paper cites Recent advances in 3d gaussian splatting.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Recent advances in 3d gaussian splatting

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.571218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:31ae01d34ed698ca7ef9468621be951e0507bacad5a06a0a5d8a46a9f94d1d6f

Observation 031e6cff-63ad-45f9-bcfa-3a6afc1c89c5 · outbound

This paper cites 3d gaussian splatting as new era: A survey.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation 3d gaussian splatting as new era: A survey

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.458628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:5f06eb52804cd4291f396c2dd3d568a45c4e099afa45bb42719975e795403615

Observation 7f05afb3-50d7-42d4-8ecf-3cf290a70090 · outbound

This paper cites 3d gaussian splatting: Survey, technologies, challenges, and opportunities.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation 3d gaussian splatting: Survey, technologies, challenges, and opportunities

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.475643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:630a7cd9f77c2ab3e96a08f701d1206bd8efdb3495b685e97b94bf519bb12ebd

Observation 41b02368-7590-4b75-b946-db208fc1ef18 · outbound

This paper cites Rt-gs2: Real-time generalizable semantic segmentation for 3d gaussian representations of radiance fields.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Rt-gs2: Real-time generalizable semantic segmentation for 3d gaussian representations of radiance fields

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.444239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:96dccafb6fe1a58431e26c5457b47e9451b5ce44ac7223af424775b63d64fa0e

Observation 9ab01d60-34a4-4d5c-87b6-bb6216d88d53 · outbound

This paper cites Omniseg3d: Omniversal 3d segmentation via hierarchical contrastive learning.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Omniseg3d: Omniversal 3d segmentation via hierarchical contrastive learning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.492572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:0553b4fbd07a3c2e3be19701d2cd7a90993a42230a501e09fa75a73c979ccbf5

Observation 06f607e6-386a-45f9-acda-df6b8dd89021 · outbound

This paper cites Gaga: Group Any Gaussians via 3D-aware Memory Bank.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Gaga: Group Any Gaussians via 3D-aware Memory Bank

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-29T02:04:50.897396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:1e7f0f89eb0fd7ccab336c384782e6636170819e9701ce64ac0a00c633ef5dd5

Observation f4bb6967-c390-4d45-97c2-3f64e2183ba0 · outbound

This paper cites Rethinking end-to-end 2d to 3d scene segmentation in gaussian splatting.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Rethinking end-to-end 2d to 3d scene segmentation in gaussian splatting

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.440048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:31ff584ce5fa1fbf3c4bde5c5dca3778b000e0b4e36aaab043db645527716b7e

Observation 4f264aaa-80f7-428b-99b8-6d0988071a60 · outbound

This paper cites Pointmap association and piecewise-plane constraint for consistent and compact 3d gaussian segmentation field.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Pointmap association and piecewise-plane constraint for consistent and compact 3d gaussian segmentation field

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.370534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:a03d1d6fe6c7e5028364d87148a334b1d1e20bd7f722ec799bc016c7bbe0e9a8

Observation a854de21-4bb1-46d3-9b1a-e8eda60f9f75 · outbound

This paper cites Gaussian grouping: Segment and edit anything in 3d scenes.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Gaussian grouping: Segment and edit anything in 3d scenes

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.530461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:d380a1e7fc70da1f16ff9bb76192f7a1b6b3ff1c183b63ebe857dbc4b145d40c

Observation 1b8b4fa0-39cb-4a81-9d2d-4684b757c511 · outbound

This paper cites SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation SAGD: Boundary-Enhanced Segment Anything in 3D Gaussian via Gaussian Decomposition

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:41:53.235404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:35ba065b62b0d53ed3ed7a0c6ca127b62fd3b7c4c1655c40cee7ec74f0305783

Observation 89ce657a-a88b-4712-8838-f819fc525c5e · outbound

This paper cites Click-gaussian: Interactive segmentation to any 3d gaussians.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Click-gaussian: Interactive segmentation to any 3d gaussians

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.462043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:4f0baec4c4e97892aa6296297d41ee9e56dcb859398838e8bac473fda787985b

Observation a63acd95-f08c-4786-aeee-6bf9140035ed · outbound

This paper cites isegman: Interactive segment-and-manipulate 3d gaussians.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation isegman: Interactive segment-and-manipulate 3d gaussians

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.396328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:f40d691b1f5badec4b95b4f8889d5cc0908e1f7700a3444952e1dbb76e29328c

Observation fba86ba5-2fb6-44f1-a299-4ee29b58691f · outbound

This paper cites Langsplat: 3d language gaussian splatting.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Langsplat: 3d language gaussian splatting

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.501098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:2d66f8111aa8804bb31eaea60fb9f1bf762308cc7827c29b7da133c18e9c0744

Observation 4431e5a8-ca78-465d-b876-4e7c18639425 · outbound

This paper cites Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.344384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:8299c7addd28e094e3c01e94c9f17a20c5b180bcea927aa9e262e2d39b8fd363

Observation a6e66a0f-e956-4ac1-a5b0-fcca7d8f0674 · outbound

This paper cites 3d vision-language gaussian splatting.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation 3d vision-language gaussian splatting

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.432702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:8544629d602009ceeb648c0b53709a901ef2f020ad435683096cf04bc2c9b50b

Observation 080a0a4c-5ace-44ab-adeb-7adac108dfc6 · outbound

This paper cites Gaussiancut: Interactive segmentation via graph cut for 3d gaussian splatting.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Gaussiancut: Interactive segmentation via graph cut for 3d gaussian splatting

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.465073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:ec1461f9322bca1f0f3fc7800716b7fac7b22a0def64ea7b4327cc3d36a127af

Observation c5b21ac6-1fbe-4ed7-9299-4ffd4b11cbea · outbound

This paper cites Segment any 3d gaussians.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Segment any 3d gaussians

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.422283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:401bee0a3acdd3d5ab8844aa48495842023df32970dd19b387a09470a3577c82

Observation 70e50e8a-3a69-43c7-b61d-e14169b2760e · outbound

This paper cites Instancegaussian: Appearance-semantic joint gaussian representation for 3d instance-level perception.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Instancegaussian: Appearance-semantic joint gaussian representation for 3d instance-level perception

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.566827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:a8c185394eae7a1ab4716f201283d1137d3b356e4c5d92426e2369831b176505

Observation db817b0b-35fc-4084-9445-e92a8388481d · outbound

This paper cites Opengaussian: Towards point-level 3d gaussian-based open vocabulary understanding.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Opengaussian: Towards point-level 3d gaussian-based open vocabulary understanding

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.453911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:cf89d3d354697eba1f4fa592e9a24ffb8204ab57575075efb339f55a4055b95b

Observation 28f8ef6f-88b2-4ed7-bb46-9608f404a2db · outbound

This paper cites Tip-editor: An accurate 3d editor following both text-prompts and image-prompts.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Tip-editor: An accurate 3d editor following both text-prompts and image-prompts

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.388633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:91df898e8ca2b7f3fa743c22a4dbab5d2307873e64ff3ee99c43ca2b71488f85

Observation 474d6d0d-cfbf-4b7f-9bf9-052029719a96 · outbound

This paper cites View- consistent 3d editing with gaussian splatting.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation View- consistent 3d editing with gaussian splatting

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.352017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:1b4e5fc544cb1127814a497e30d723b146fa48d3c0f83ce9e8695879675dbcb3

Observation b3a9f63d-98d6-45eb-8032-8f54355a36f8 · outbound

This paper cites Gaussianeditor: Editing 3d gaussians delicately with text instructions.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Gaussianeditor: Editing 3d gaussians delicately with text instructions

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.366293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:286e70dea79eb3077ebda2123a9f04fbb668d3d46be8d1230ef412af0f022fea

Observation 3d90b014-aebd-450a-b25a-840f5670448b · outbound

This paper cites Dreamcatalyst: Fast and high-quality 3d editing via controlling editability and identity preservation.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Dreamcatalyst: Fast and high-quality 3d editing via controlling editability and identity preservation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.504109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:5f08181ebe7d4ee8d8dcb3b2abb7674674731b1743f941436684d2defbfe33fd

Observation 21cf3972-71cc-490d-950e-83470f576d78 · outbound

This paper cites Lgm: Large multi-view gaussian model for high-resolution 3d content creation.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Lgm: Large multi-view gaussian model for high-resolution 3d content creation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:55.175258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:498562c40bc6769d04c0245f8a3537a26f9204e42cf5451293604fb39c7da010

Observation e45c9394-b72e-4df6-8970-d841c057ce17 · outbound

This paper cites Grm: Large gaussian reconstruction model for efficient 3d reconstruction and generation.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Grm: Large gaussian reconstruction model for efficient 3d reconstruction and generation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.248480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:d912c905a6fba1483d038c2cddd0c42eb676ee81058e49ccac34a46383fcbee1

Observation dc9d425b-f192-4ea3-9264-662d80d4af93 · outbound

This paper cites Gs-lrm: Large reconstruction model for 3d gaussian splatting.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Gs-lrm: Large reconstruction model for 3d gaussian splatting

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.314264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:6d05f86951415ec6e365ba53ef7c6153835072f95c41668144387a4c60450a3d

Observation 7976e7df-5125-4410-9d61-cc7d578a5695 · outbound

This paper cites Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Gaussiandreamer: Fast generation from text to 3d gaussians by bridging 2d and 3d diffusion models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:55.170400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:ffe9ff1e416c730448f4678bb623d349425793df0046a63ca5e65dc9de0ebaa3

Observation 85b61ed8-0a66-4b74-9c9a-95c23a7f5eb1 · outbound

This paper cites Luciddreamer: Towards high-fidelity text-to-3d generation via interval score matching.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Luciddreamer: Towards high-fidelity text-to-3d generation via interval score matching

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:55.179611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:126a0aac4031cccd4c4cc7082aac7d1cba626e6d228a329426b33dc8646b2f63

Observation 78ecd902-6ece-47f0-884c-de362825e64b · outbound

This paper cites Text2room: Extracting textured 3d meshes from 2d text-to-image models.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Text2room: Extracting textured 3d meshes from 2d text-to-image models

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.496739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:8baf3fe4250d7d9fe31c225f50b76aa51adf7c02d77c0a62bf35d9aba644c354

Observation 8bc6f3b4-502d-4ec7-b63e-0360d2e772ce · outbound

This paper cites Dreamscene: 3d gaussian-based text-to-3d scene generation via formation pattern sampling.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Dreamscene: 3d gaussian-based text-to-3d scene generation via formation pattern sampling

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.473527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:a8d0bc282bc716f7b229fbf59d38f78267270b7d08dd94c3613cd9ec0ec2c155

Observation 212e439b-eb6a-4f75-8791-6225b86adefa · outbound

This paper cites Dreamscene360: Unconstrained text-to-3d scene generation with panoramic gaussian splatting.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Dreamscene360: Unconstrained text-to-3d scene generation with panoramic gaussian splatting

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:55.131806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:32e4cebe347a89c05d1b67bd9f7ef647f485cd13d96b843d492694d5d1a588f8

Observation f7b02cd9-096a-4dcd-b593-d7de85327200 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Emerging properties in self-supervised vision transformers

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:55.135188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:fe11fc96bc83919bc008d79d7240164e51037016cee3943c1b32d73e4cc55752

Observation d33a33c3-8fb9-4405-b029-01a8ea3b9415 · outbound

This paper cites Dinov2: Learning robust visual features without supervision.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Dinov2: Learning robust visual features without supervision

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:55.121219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:63cbd40857aa0414c4eb07ddd29b6d750b5f15ebd2e8b40bc0856fc0cf874b99

Observation 596a7d5b-83d1-4b57-87bd-a21242d0b857 · outbound

This paper cites Learning transferable visual models from natural language supervision.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Learning transferable visual models from natural language supervision

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.539446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:6f71b5ec7df61301af19ca7311530e4c260d4514fa76203b6387b2791e88f203

Observation 6b1cdac6-e1d6-477a-952f-dc2119da6ddd · outbound

This paper cites Segment anything.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Segment anything

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.427268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:8cb651bb67b64b1af493eb3fd9f0a29ee393d457a5a6e00b8264f36651da3b92

Observation 515b2f4b-c44d-4b07-9e7a-da2d516bac8b · outbound

This paper cites Sam 2: Segment anything in images and videos.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Sam 2: Segment anything in images and videos

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:55.107660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:66db83aecde943636a1e21138c0670ad49a9336f8ed60577926f0524c614e012

Observation 7feea6b6-1e47-48ac-92e9-36f30e36684b · outbound

This paper cites MOSEv2: A more challenging dataset for video object segmentation in complex scenes.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation MOSEv2: A more challenging dataset for video object segmentation in complex scenes

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:41:53.197845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:7c81a81c996f26402d9f79a283a2b1bfd7beca0505cce6a221775372b684f4d2

Observation 90958d6b-a44e-4bfd-b3bd-953cd288aef5 · outbound

This paper cites MOSE: A new dataset for video object segmentation in complex scenes.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation MOSE: A new dataset for video object segmentation in complex scenes

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.430934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:8282953ddfade41d1a4b147e3a12d131ada2b35b0aa6318fb7a44d9516fa18b4

Observation 0bc9b46c-3a54-4a6f-899a-84eea9cbe5bc · outbound

This paper cites MeViS: A large-scale benchmark for video segmentation with motion expressions.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation MeViS: A large-scale benchmark for video segmentation with motion expressions

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:55.094900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:37b51e8f4a84dec2b95d269601dffc9445d91308ab249e0dcfafb5c1be0611bb

Observation a2bca76b-4e96-4fdf-9aba-ea6680a58034 · outbound

This paper cites MeViS: A multi-modal dataset for referring motion expression video segmentation.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation MeViS: A multi-modal dataset for referring motion expression video segmentation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.355864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:a33ba4ce5a1eedab677df2c05c4defb4bbf2144135a9c4697a548634d2a84820

Observation 71c38851-0257-4673-a24f-4d65f9b2fe2d · outbound

This paper cites Denoising diffusion probabilistic models.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Denoising diffusion probabilistic models

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.535342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:135da48ea930e9913cada09d1ddf834f40802b27aeb478239669ace3e5845731

Observation 13222089-2522-403a-a46a-b096ef055ed0 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation High- resolution image synthesis with latent diffusion models

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.533430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:76d87d60ade58c5253fecd28b0bf6130360e368aef55e1776a5f8f637a9fe185

Observation e085de19-fff8-4e2d-bda2-599fd9b5cd3a · outbound

This paper cites Scalable diffusion models with transformers.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Scalable diffusion models with transformers

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:55.104701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:5f5265d40c64207c9c7069148684b335d6afa1c0fa81a313610dc524085e4e6f

Observation 62d8ca2e-4f84-45e6-a2d6-bf2385dfc363 · outbound

This paper cites an unresolved cited work.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-05-18T22:42:52.562287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:4869ce54c208512720645602e155ae1aa8d33a4677b8329c56d288eb614bedad

Observation b54a4b7b-8acf-4d6a-903c-b7ac2129fc1b · outbound

This paper cites In-place scene labelling and understanding with implicit scene representation.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation In-place scene labelling and understanding with implicit scene representation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.507125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:b85047f575ca19704c607a6e2185d4dfbb7b488f9d119b8dba6ec015293158e9

Observation 1c33741b-e818-43d3-80a0-0c9e734f4f89 · outbound

This paper cites Decomposing nerf for editing via feature field distillation.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Decomposing nerf for editing via feature field distillation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.520953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:3564a28bfe7eeb3af206ae19a38d6cecd5a0be749c44c72546bf041b47b24703

Observation e31769fc-7d39-44b4-9274-e963faac25d1 · outbound

This paper cites Neural feature fu- sion fields: 3d distillation of self-supervised 2d image representations.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Neural feature fu- sion fields: 3d distillation of self-supervised 2d image representations

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.392886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:8427ca996050c7a0349b8231e06284812c13b8d895bc7f859f318e94e681b423

Observation 6f9d3a97-3bba-4226-87d4-15ade59d6f6c · outbound

This paper cites Interactive segmen- tation of radiance fields.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Interactive segmen- tation of radiance fields

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.468943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:a9d7819b7a89f55baf997a358f1f46394fabe632185bab1875f441a4b0287b51

Observation 200f0231-7984-4b8e-a0c9-2e7e20c50f41 · outbound

This paper cites Lerf: Language embedded radiance fields.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Lerf: Language embedded radiance fields

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.514805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:9985c04e0e223021a5b8151e6c9ab18f7dd308796bdc611810056c1db7ba19af

Observation f4465345-153f-471f-b99d-9382fdf85cac · outbound

This paper cites Weakly supervised 3d open-vocabulary segmenta- tion.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Weakly supervised 3d open-vocabulary segmenta- tion

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.455628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:862a598c8aa89b845861880fc82e03d4b6a74ca7615daed0f94032114ff77fcd

Observation b187cdf5-dad6-45dd-ab9e-ee665bfaaa6d · outbound

This paper cites Dm-nerf: 3d scene geometry decom- position and manipulation from 2d images.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Dm-nerf: 3d scene geometry decom- position and manipulation from 2d images

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.510750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:d16a5ba75c13fa84bd9d5d5f15de82e3e7cc1fb71aad9813c79cde7edfad1e43

Observation b4d5ba11-a257-41fc-b0b5-de0a7449cf27 · outbound

This paper cites Panoptic lifting for 3d scene understanding with neural fields.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Panoptic lifting for 3d scene understanding with neural fields

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.447744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:70d1ac58b8416d90402e6a8cfb84eb2ae45c47f81776549c74314555830037c3

Observation b05d9127-849b-4f3b-a2ec-2d2fff3a2cb1 · outbound

This paper cites Contrastive lift: 3d object instance segmentation by slow-fast con- trastive fusion.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Contrastive lift: 3d object instance segmentation by slow-fast con- trastive fusion

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.321018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:a88c31acd13a9542d5a4fae08469387adb631374c39ade4aae9437db52236805

Observation 94939332-031f-47c0-a202-2f0e2bb21411 · outbound

This paper cites Spin-nerf: Multiview segmentation and perceptual inpainting with neural radiance fields.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Spin-nerf: Multiview segmentation and perceptual inpainting with neural radiance fields

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.539942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:2bb8fe48cb901b7c15566a9a53a1891eafa92239465b42268e7f79dc43373968

Observation 8340b9df-f3d0-4c83-ba97-8cebe6ae8c35 · outbound

This paper cites Segment anything in 3d with nerfs.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Segment anything in 3d with nerfs

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.450576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:386907a0bfe387d93a4fd5029a8073685ecb5c0e36c563eeeef1f2121c82689e

Observation 7935789e-ad96-4c65-8387-1ddf5e53b095 · outbound

This paper cites Garfield: Group anything with radiance fields.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Garfield: Group anything with radiance fields

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.551303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:93dbb65246f2065e2ed06922d469f01b8aafea18f0554a5b8be9b64ce4c2bcf5

Observation 6b3063f2-1543-488f-8c7e-adc4cee33066 · outbound

This paper cites Editing conditional radiance fields.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Editing conditional radiance fields

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.389592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:dac74c4081a6f316257404ab5b010a5fdb191781004f2f6de28fde842b58f801

Observation 5544ca12-bf5e-4317-8b11-936df51aa72e · outbound

This paper cites Clip-nerf: Text-and- image driven manipulation of neural radiance fields.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Clip-nerf: Text-and- image driven manipulation of neural radiance fields

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.489298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:5ead79b605b0548a093862792bed9246c349152611db577f63d5c193fe0139a2

Observation 8a37c1f4-0d4b-4e59-aa82-c191d060efb5 · outbound

This paper cites Learning object-compositional neural radiance field for editable scene rendering.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Learning object-compositional neural radiance field for editable scene rendering

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.558591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:83fe1014c63c0c3e79b8888dd0f8b326f5c4615a94fbf5615e5622d0722ed57e

Observation 93714902-184e-44cf-b149-45a8c59168e5 · outbound

This paper cites Laterf: Label and text driven object radiance fields.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Laterf: Label and text driven object radiance fields

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.413387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:5924bd6f197d676a4266a97314641d356d6fcf10e79f387e19ebf8236f491a92

Observation d7ed460a-7037-474e-bdd5-773c4e60e2aa · outbound

This paper cites Conerf: Controllable neural radiance fields.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Conerf: Controllable neural radiance fields

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.506167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:9c8052bde7ab36f0450fdc54f6c73af3efaac42b706ce84341c99a5258792cc6

Observation 5a2d635d-3662-494a-ba0a-44be77f83128 · outbound

This paper cites Instruct-nerf2nerf: Editing 3d scenes with instructions.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Instruct-nerf2nerf: Editing 3d scenes with instructions

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.417032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:6bfebd27037424fd915b90674654c4a8d64392614a79e4e63e80539bd61cbc97

Observation f18e611f-a214-4c41-aaff-0bc814561194 · outbound

This paper cites Graf: Generative radiance fields for 3d-aware image synthesis.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Graf: Generative radiance fields for 3d-aware image synthesis

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.514117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:fd1e56797e9841652a113ade2491b3d91d6ff79acdb00621c162fd242fa69f11

Observation afdc634e-eb8d-4bc6-b914-8b379b23c20a · outbound

This paper cites Gram: Generative radiance manifolds for 3d-aware image generation.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Gram: Generative radiance manifolds for 3d-aware image generation

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.519100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:1e44d4a86d8d0de3501dfd95bf19d82ea7d5bd3d5631c7c0618c6593292ab997

Observation b57c8451-98fd-46fe-8fb4-28d506b2c107 · outbound

This paper cites Dreamfusion: Text- to-3d using 2d diffusion.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Dreamfusion: Text- to-3d using 2d diffusion

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.392513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:5a6f0d5f0e353d4f96ac8f93dca70312f24dc251ff53bff52b29e06afecd343a

Observation e3ee340b-62da-4f4a-b41b-4deb26607642 · outbound

This paper cites Magic3d: High-resolution text-to- 3d content creation.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Magic3d: High-resolution text-to- 3d content creation

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:54.775868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:b23e575e2d0b5c3a476a60e1f81672cdcbab476f5b334f2a1f83cf98697f9e24

Observation 0347aa58-5d31-4859-8926-459f9fada4a3 · outbound

This paper cites Latent-nerf for shape-guided generation of 3d shapes and textures.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Latent-nerf for shape-guided generation of 3d shapes and textures

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:54.835588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:6fbceb531de0389439e97e2a65e249e912746eaa61985ef55cbfd052e9aea45b

Observation b3eccd9e-72a5-4163-917b-c7af05d351c9 · outbound

This paper cites Score jaco- bian chaining: Lifting pretrained 2d diffusion models for 3d generation.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Score jaco- bian chaining: Lifting pretrained 2d diffusion models for 3d generation

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:54.849226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:2e223b59bf359b36d0a3a6fe056ed61a965f7aa21749735330eea49c750d6750

Observation eef8b77f-b50f-4072-95a7-85f71dc1957e · outbound

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

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Efficient geometry-aware 3d generative adversarial networks

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:54.963650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:e687dc7ba42890299ec30f5e53882134e48b7ba2dc16c5a7ef3c6698207af0fb

Observation c21f374b-d05c-4740-ad71-8ddd295c1038 · outbound

This paper cites Text2nerf: Text-driven 3d scene generation with neural radiance fields.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Text2nerf: Text-driven 3d scene generation with neural radiance fields

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:54.810539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:c3f49e520955a06e1b8121497074e20c59fc6d6c859a689b71179b93d8455c5d

Observation ff42d210-8434-4156-9c41-1bba47e98be0 · outbound

This paper cites Language embedded 3d gaussians for open-vocabulary scene understanding.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Language embedded 3d gaussians for open-vocabulary scene understanding

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:41:55.027586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:7bd9de43bf69ce58c676ff2d948b81be58b9a3f70a18f5d7519e96a79d29f571

Observation 1df012d7-f6af-44bb-9203-047b50303c33 · outbound

This paper cites Fast and Efficient: Mask Neural Fields for 3D Scene Segmentation.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Fast and Efficient: Mask Neural Fields for 3D Scene Segmentation

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:41:53.318940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:b19cbe15700d3871206f11d1217c805e34b93f0622fe9e5ebcbb6a5acd5e6d8f

Observation 253fe7c5-adb0-49c8-99c7-965d1ba7c69f · outbound

This paper cites Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:41:53.464881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:43843079845fc5592706300d0669f8492839efe9ba8202b35bd23448bf9d7479

Observation 46a07f7f-9107-4cf3-8e07-fd1f21034b2b · outbound

This paper cites Language-driven semantic segmentation.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Language-driven semantic segmentation

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.201746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:7649e3b3eed2e94c6e1a2c3e615986fe50e308e586df3485d7a94b6702db67e9

Observation cca2f987-cb9f-426d-a41e-6666a576058d · outbound

This paper cites N2f2: Hierarchical scene understanding with nested neural feature fields.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation N2f2: Hierarchical scene understanding with nested neural feature fields

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.165270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:4a8834f2a046ddd224f8d188b9350835a613f715d8cb36f7e2e35608ed7091c8

Observation 52432788-c715-4512-ba05-d095b925612c · outbound

This paper cites Langsurf: Language-embedded surface gaussians for 3d scene under- standing.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Langsurf: Language-embedded surface gaussians for 3d scene under- standing

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:41:53.476602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:26dfb0297f470c7bf72e86bae26faf07bc3f6023f1a976c1e15092fa59037b3d

Observation d59ff10b-4f63-4336-89fb-b9ff4eb90d52 · outbound

This paper cites Semantic consistent language gaussian splatting for point-level open-vocabulary querying.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Semantic consistent language gaussian splatting for point-level open-vocabulary querying

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:41:53.489040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:0f6618991462a6ddd72e6f33187f5a6896face0aba59ad960940dd96d965aefb

Observation 6101c710-7d40-49b8-be6b-6e06b70d1c64 · outbound

This paper cites Supergseg: Open-vocabulary 3d segmentation with structured super-gaussians.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Supergseg: Open-vocabulary 3d segmentation with structured super-gaussians

Reference 91

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:41:53.391261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:4319dffb8b81ad09a6122969b0286f4219b707f8e2ad0cc59f780a3e8687fad9

Observation 5dece43a-8544-4206-bc0c-79d3aaa6f54a · outbound

This paper cites Bootstraping clustering of gaussians for view-consistent 3d scene understanding.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Bootstraping clustering of gaussians for view-consistent 3d scene understanding

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.224349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:3c233e55b55a57748fc9cbc31f1ff0a2e5573eca5a8a3f5f1b8851fdcd452a65

Observation 7c0d8777-8bfa-4715-845f-29ee778427e8 · outbound

This paper cites GLS: Geometry-aware 3D Language Gaussian Splatting.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation GLS: Geometry-aware 3D Language Gaussian Splatting

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:41:53.453404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:6951f35082b0a0ac34c092b91bef8b3d5cc5c7b160bd0c1b80761c8cde5410b3

Observation e5bba666-40fb-4f5c-90bc-8c85c548301f · outbound

This paper cites Clip-gs: Clip-informed gaussian splatting for real-time and view-consistent 3d semantic understanding.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Clip-gs: Clip-informed gaussian splatting for real-time and view-consistent 3d semantic understanding

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.216578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:19e1940f9d291406a5b57147434b54758b1f9b73a75691a12b355f9b28dbc39b

Observation 11d9b4de-bfb3-4926-9e36-9b728ad238ff · outbound

This paper cites Fmgs: Foundation model embedded 3d gaussian splatting for holistic 3d scene understand- ing.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Fmgs: Foundation model embedded 3d gaussian splatting for holistic 3d scene understand- ing

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.101732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:4293b0645ffd034a3e88fbccef4c87f27fa49565d7bada86c87b33fcc59d4117

Observation 11a0703f-9f07-4491-96d7-84d46bfef6e9 · outbound

This paper cites Goi: Find 3d gaussians of interest with an optimizable open-vocabulary semantic- space hyperplane.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Goi: Find 3d gaussians of interest with an optimizable open-vocabulary semantic- space hyperplane

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.121990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:3c433fc63a715afb12d689c049d8b643bcf0ac65132ac8cc49976865747bf8ff

Observation 357d9b86-6aa1-4db5-b4f5-d77aba268b77 · outbound

This paper cites Fastlgs: Speeding up language embedded gaussians with feature grid mapping.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Fastlgs: Speeding up language embedded gaussians with feature grid mapping

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.170056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:fb939cdaa3889b170d94027a65dce3c1c3f932177ab183c4be48959a75711ddd

Observation ef35158f-5e0e-466f-8f1b-857905fb32ff · outbound

This paper cites Fmlgs: Fast multilevel language embedded gaussians for part-level interactive agents.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Fmlgs: Fast multilevel language embedded gaussians for part-level interactive agents

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.244618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:0376cc92fb6d007d958777dcffe75fa37e79bc867bfb34d3734c647e0117e67c

Observation a208c917-8ee3-4eb0-abd6-ad4acd4dfd07 · outbound

This paper cites Efficient decoupled feature 3d gaussian splatting via hierarchical compression.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation Efficient decoupled feature 3d gaussian splatting via hierarchical compression

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T22:42:52.208861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:ff7ce224408d5a876ea6531b5a9bf6f3ad02c34322560c5eb196d17b72141561

Observation c7a9fca4-a3ae-4247-acc5-dc03acfb51f9 · outbound

This paper cites GradiSeg: Gradient-Guided Gaussian Segmentation with Enhanced 3D Boundary Precision.

A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation GradiSeg: Gradient-Guided Gaussian Segmentation with Enhanced 3D Boundary Precision

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:41:53.347586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-18T22:39:24.200019Z digest=sha256:4527259891e0aa62e0422599ba4e1ebf50489a0e2aae577f93911b62568483e9

Pith citing papers

Observation 5227b625-8abe-486a-9f05-2c9909646af4 · inbound

GS4City: Hierarchical Semantic Gaussian Splatting via City-Model Priors cites this paper.

GS4City: Hierarchical Semantic Gaussian Splatting via City-Model Priors A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-11T10:06:04.866931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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NG-GS: NeRF-Guided 3D Gaussian Splatting Segmentation cites this paper.

NG-GS: NeRF-Guided 3D Gaussian Splatting Segmentation A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation

Reference 10

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3DEditSafe: Defending 3D Editing Pipelines from Unsafe Generation cites this paper.

3DEditSafe: Defending 3D Editing Pipelines from Unsafe Generation A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation

Reference 10

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local_arxiv, observed 2026-05-19T15:12:37.658079Z

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Observation 7a92a1a2-00b7-448e-bcb7-bff4bad31876 · inbound

Meshless Domain Randomization via Explicit Parameter Perturbation of 3D Gaussian Splatting cites this paper.

Meshless Domain Randomization via Explicit Parameter Perturbation of 3D Gaussian Splatting A Survey on 3D Gaussian Splatting Applications: Segmentation, Editing, and Generation

Reference 11

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