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Paper Citation Record · LEDGER

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting

As of 23 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 2 inbound Pith citation observations for arXiv:2501.06714.

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

pith.paper-citation-record.v1
2501.06714 v3

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:02:19.990629Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T20:35:53.491714Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T22:55:48.956514Z

Reference resolution

69 of 69 outbound references displayed

  • verified exact0
  • verified fuzzy54
  • unresolved15
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e81d8184-8e7a-46b1-84a9-1ef45234fa85 · outbound

This paper cites 3dgs-det: Em- power 3d gaussian splatting with boundary guidance and box-focused sampling for 3d object detection.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting 3dgs-det: Em- power 3d gaussian splatting with boundary guidance and box-focused sampling for 3d object detection

Reference 1

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no resolver link, observed 2026-08-10T21:02:19.642623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bf8d5af2-d6dc-4f53-9b6b-b619d4467fb9 · outbound

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

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Efficient geometry-aware 3d generative adversarial networks

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e022e3fe-c633-479a-b06f-33ef83017402 · outbound

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

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d recon- struction

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5241ff00-a1c0-4f5f-9fec-c6c14da39ce0 · outbound

This paper cites PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction

Reference 4

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no resolver link, observed 2026-08-10T21:02:19.658910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:19.658910Z digest=sha256:31a1aa90a9769f3edd69bd133721b362b7afb22323867bf269a3577083d500be

Observation 349c97d5-1a35-4b28-b36c-290d0c07e4d2 · outbound

This paper cites Gaussianeditor: Swift and controllable 3d editing with gaussian splat- ting.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Gaussianeditor: Swift and controllable 3d editing with gaussian splat- ting

Reference 5

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raw_fallback, observed 2026-08-10T21:02:21.342559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c390c4fb-cae6-49c9-a3a7-79634c733faf · outbound

This paper cites Mvsplat360: Feed-forward 360 scene synthesis from sparse views.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Mvsplat360: Feed-forward 360 scene synthesis from sparse views

Reference 6

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raw_fallback, observed 2026-08-10T21:02:21.320238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.669979Z digest=sha256:be66fe1dc5c47a1fa6cdacffa53398b281230a039c275e16e5fb2c3821595d8a

Observation d5e5a52a-9250-4fbb-a9fa-5bee65552d03 · outbound

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

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 7

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raw_fallback, observed 2026-08-10T21:02:21.292159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.675413Z digest=sha256:4cbfe0d46a3378ef5c33b01463e3737e1a7e521f61b1a7120169bf6934343eb4

Observation 96361f96-5de6-4269-a53e-8af224e4df35 · outbound

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

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting 3d-r2n2: A unified approach for single and multi-view 3d object recon- struction

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-10T21:02:21.275382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.680357Z digest=sha256:9ee43f63040c55b60deba485e15a926903966eced5a51a4aeaccf85b95b63386

Observation 4067379d-0485-48b5-9c8c-c4434a9c16e6 · outbound

This paper cites Imagenet: A large-scale hierarchi- cal image database.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Imagenet: A large-scale hierarchi- cal image database

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.685720Z digest=sha256:69d57bae8e59c9f50a43cb340443db1b90804ce39dd836630b4e108b83ce7d2c

Observation fd62f37e-db5c-49e4-8b6a-581553618b31 · outbound

This paper cites CAT3D: Create Anything in 3D with Multi-View Diffusion Models.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting CAT3D: Create Anything in 3D with Multi-View Diffusion Models

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:19.690948Z digest=sha256:baec237f0057ea80410fc671df24f012080da6a5d192e44d9b44dd7281541c31

Observation fed5c7a3-3421-48e7-85d3-818675435017 · outbound

This paper cites Mesh r-cnn.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Mesh r-cnn

Reference 11

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raw_fallback, observed 2026-08-10T21:02:21.232656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.696813Z digest=sha256:b99a64e3d310f06e658db07b4a21798e36de5cde7711f80278d11c22f5554634

Observation e111be95-0a2d-4a1d-a75a-f1b16b15ff77 · outbound

This paper cites Animatediff: Animate your personalized text-to-image diffusion models without specific tuning.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Animatediff: Animate your personalized text-to-image diffusion models without specific tuning

Reference 12

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raw_fallback, observed 2026-08-10T21:02:21.214238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.701655Z digest=sha256:e4072fab6f4f75c851ab73c56517359061a5bff8841bf58aac90425c7340fbf5

Observation a2d4b452-b38c-4867-b0b9-bf0ba77cbe5f · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 13

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raw_fallback, observed 2026-08-10T21:02:21.196544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.707155Z digest=sha256:ca49789885f6060601a4c226e5d0c093edee28d059ff4be85c29f15c5528270c

Observation 88bdec69-0f99-44ff-b992-73afc24822ee · outbound

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

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Text2room: Extracting textured 3d meshes from 2d text-to-image models

Reference 14

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raw_fallback, observed 2026-08-10T21:02:21.178684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.712419Z digest=sha256:f5eb21bcd0007793c3611ccc715dc3cebb41aa7b4cf8a6e2ab24c76986d1c911

Observation 1d3308ca-a592-49b9-a398-baebd21380cd · outbound

This paper cites Viewdiff: 3d-consistent image generation with text-to-image models.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Viewdiff: 3d-consistent image generation with text-to-image models

Reference 15

Resolution
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raw_fallback, observed 2026-08-10T21:02:21.159966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.717302Z digest=sha256:9b2b1c399b155b33d438b9b9f350678f306ebaffef9e8a8f475275154aacd86c

Observation 24cca446-b017-459c-9beb-3b7651bbc04e · outbound

This paper cites LRM: Large Reconstruction Model for Single Image to 3D.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting LRM: Large Reconstruction Model for Single Image to 3D

Reference 16

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no resolver link, observed 2026-08-10T21:02:19.722096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:19.722096Z digest=sha256:ed748a1107e44a7f315b42f8da58819344829a591e95575b3873a822eaffaa0d

Observation d40bf363-bbc7-4e73-8d9a-478b86aed0e4 · outbound

This paper cites 2d gaussian splatting for geometrically accurate radiance fields.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting 2d gaussian splatting for geometrically accurate radiance fields

Reference 17

Resolution
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raw_fallback, observed 2026-08-10T21:02:21.143066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.727197Z digest=sha256:c18cbecd6f248b9c28aa2238ec03533e8474d3fe8e76f3bb8061163de08fa551

Observation d2c22710-1cc0-4c90-8618-7929bff3bf8e · outbound

This paper cites Real3D: Scaling Up Large Reconstruction Models with Real-World Images.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Real3D: Scaling Up Large Reconstruction Models with Real-World Images

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:19.732382Z digest=sha256:a71b8103f6ae87a188d1efbee8ebe99f3f5f4ae8bc9bfe1d8159f07f33c7b796

Observation 6d3c283d-8d4d-4c41-81b6-c69a93903d8e · outbound

This paper cites Per- ceptual losses for real-time style transfer and super- resolution.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Per- ceptual losses for real-time style transfer and super- resolution

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-10T21:02:21.126238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.737393Z digest=sha256:b121505f21600a9dabddca91d5fe180bb3d4abcffda19d4b1d40a67cd2c4730d

Observation 138ccc97-7a89-4b6f-b98b-1c0edaf28312 · outbound

This paper cites A style- based generator architecture for generative adversarial networks.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting A style- based generator architecture for generative adversarial networks

Reference 20

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raw_fallback, observed 2026-08-10T21:02:21.107806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.742518Z digest=sha256:3b6f76acf217e8f23427956d77568c00b686c369492a3dabd16dbe6ffa6bf075

Observation b569a732-955e-415f-9b9e-3556f04e2fb4 · outbound

This paper cites Repurposing diffusion-based image generators for monocular depth estimation.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Repurposing diffusion-based image generators for monocular depth estimation

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-10T21:02:21.086817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.747395Z digest=sha256:7a314ec9cee9e50df7820e531f518c8d424f643a128e2c8226f76082cea17461

Observation 4b4d40e2-be1d-41e9-86e3-a806c9dae355 · outbound

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

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting 3d gaussian splatting for real-time radiance field rendering

Reference 22

Resolution
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raw_fallback, observed 2026-08-10T21:02:21.070378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.752378Z digest=sha256:c6d84fe2252dcb6e72a9f06c9d1f268c3765b8ed9ee437c980db564ea22786fb

Observation 67ef3203-0c04-4021-ae85-589d6536e0ce · outbound

This paper cites Infinitenature-zero: Learning per- petual view generation of natural scenes from single images.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Infinitenature-zero: Learning per- petual view generation of natural scenes from single images

Reference 23

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raw_fallback, observed 2026-08-10T21:02:21.049297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.757280Z digest=sha256:fcfce7c65e49225f576332d8304f4a2826e5d09aee772e14f7191cfcf276ae84

Observation 41bbf26d-109d-46cf-a8b2-1c1bf9749351 · outbound

This paper cites 3DGSR: Implicit Surface Reconstruction with 3D Gaussian Splatting.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting 3DGSR: Implicit Surface Reconstruction with 3D Gaussian Splatting

Reference 24

Resolution
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no resolver link, observed 2026-08-10T21:02:19.762146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:19.762146Z digest=sha256:4cba1cc5b54592bd3b7c643f68aaf15377ac03e87748cd588f162cf4d3431690

Observation bd31c903-6ac6-441b-9840-658f19fc7061 · outbound

This paper cites Im-3d: Iterative multiview diffu- sion and reconstruction for high-quality 3d generation.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Im-3d: Iterative multiview diffu- sion and reconstruction for high-quality 3d generation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:21.030936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.767305Z digest=sha256:b575361dd68824f23b9b8c7cc4c8f508d5c015cd2d64cc560c48d380cb24b679

Observation 66fc6094-505d-454e-bfd5-3f08e52a83f8 · outbound

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

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Nerf: Representing scenes as neural radiance fields for view synthesis

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:21.012809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.772333Z digest=sha256:58423a4549e6d70b0121bcce9d46776e78b3f56f7e9a81ded12dfd0481934b45

Observation b9d73cf8-0fcc-49de-b2d9-1a46d48f1f6b · outbound

This paper cites Self-distilled stylegan: Towards gener- ation from internet photos.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Self-distilled stylegan: Towards gener- ation from internet photos

Reference 27

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raw_fallback, observed 2026-08-10T21:02:20.995608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.777333Z digest=sha256:dcf2c4811dfd1293b44d421d7e32d16de4c58b01e3910a718984275e8c6903b5

Observation aa4b81ac-c67d-4982-87cc-59ca450fc330 · outbound

This paper cites Magic123: One image to high- quality 3d object generation using both 2d and 3d dif- fusion priors.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Magic123: One image to high- quality 3d object generation using both 2d and 3d dif- fusion priors

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.977384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.782316Z digest=sha256:c0a7d9019339db524e233574d9a2025f1a64aa541629a1ce890a543ec2d12f30

Observation 87f02ce9-2a30-4379-983c-e87d70001f13 · outbound

This paper cites Learning transferable visual models from nat- ural language supervision.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Learning transferable visual models from nat- ural language supervision

Reference 29

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raw_fallback, observed 2026-08-10T21:02:20.961216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.787108Z digest=sha256:baf19fc946346f8e9d14f0f8fafca6a196fa43b7411f3da6034fa6ca243eefd8

Observation 8769a28d-ad96-41af-9f6b-3e66d34f4895 · outbound

This paper cites G3dr: Generative 3d reconstruction in imagenet.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting G3dr: Generative 3d reconstruction in imagenet

Reference 30

Resolution
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raw_fallback, observed 2026-08-10T21:02:20.945593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.792178Z digest=sha256:76ec916641dfe8c0925ec75ddacaa5aec4045254818e417db832ee8616b2b48e

Observation 60ddb40a-d337-47e2-b3ad-af9351e84902 · outbound

This paper cites Vq3d: Learning a 3d-aware generative model on imagenet.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Vq3d: Learning a 3d-aware generative model on imagenet

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.928757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.797380Z digest=sha256:70436da2046c4be381991b364fd11fa727317bfbcad535aaeca17bf9e06df763

Observation d4a62ace-da20-41b7-aacc-fe102d8f4d8b · outbound

This paper cites ZeroNVS: Zero-shot 360-degree view syn- thesis from a single real image.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting ZeroNVS: Zero-shot 360-degree view syn- thesis from a single real image

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.912722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.802367Z digest=sha256:1b7aea70c3adac1edfce846723cb9c06b2ae37afd86d5d9c87ee356220713c13

Observation 54b0bfbf-5914-47a0-b4a1-217d107cb831 · outbound

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

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Language embedded 3d gaussians for open-vocabulary scene understanding

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.896458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.807346Z digest=sha256:33222528075b7334fccc2ae1fbd558414786bcee842a8d356a483869ed7c799c

Observation 576d4efa-114e-46ae-bcc4-94853d950275 · outbound

This paper cites MVDream: Multi-view Diffusion for 3D Generation.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting MVDream: Multi-view Diffusion for 3D Generation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T21:02:19.812668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:19.812668Z digest=sha256:34db8df4c33b7ddd002257ec144da82001fef165f50424b069bac187c43cd5d7

Observation 5db60456-c643-40fb-8cb5-078308e4121e · outbound

This paper cites 3d generation on imagenet.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting 3d generation on imagenet

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.879696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.817850Z digest=sha256:f2ab4cf523df074bec026164c52cd8f7674c9cb739909c6e0fc37ce9ccefbd54

Observation b38f46b5-0e23-4678-a143-bc9612c29855 · outbound

This paper cites Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T21:02:19.823018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:19.823018Z digest=sha256:1456956eb453e5075b8985c3f3dd6e1edc60d37c9d74bac1a5d36d8ea5e79af0

Observation 461eb034-b95a-43f4-95d8-070e1f6a8ace · outbound

This paper cites Flash3d: Feed-forward generalisable 3d scene reconstruction from a single image.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Flash3d: Feed-forward generalisable 3d scene reconstruction from a single image

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.864308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.828036Z digest=sha256:43b716e1907bf442cfd0fcbd6034f8e2951c5ccc27991ec26c82430f721a1f9b

Observation 9ef127de-5559-4a21-9ae2-b020b6a0e3c4 · outbound

This paper cites Splatter image: Ultra-fast single- view 3d reconstruction.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Splatter image: Ultra-fast single- view 3d reconstruction

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.848256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.832694Z digest=sha256:dec24c8660e64433f9a1f33bcb980b1878fcae4f6b6bb89bfb96c7d6c0845c5b

Observation d282e4a0-dbc0-4ad8-bbd8-612ecc57be96 · outbound

This paper cites Make-it-3d: High-fidelity 3d creation from a single image with dif- fusion prior.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Make-it-3d: High-fidelity 3d creation from a single image with dif- fusion prior

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.832350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.837586Z digest=sha256:c3dc4e6392d31977afc64912eabadddf5934ecedecff11fbf399c9d51a897307

Observation 2dffa55e-ca3a-4352-9716-1f271a3a5f86 · outbound

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

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Lgm: Large multi- view gaussian model for high-resolution 3d content creation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.816588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.842462Z digest=sha256:85f93cf10d8ecdd690430c45d712fce010b9a74d708e0e131b01b6eb03b57ae3

Observation 4b83d335-e004-4c75-be82-b341f7884a40 · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Visual autoregressive modeling: Scalable image generation via next-scale prediction

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.798887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.847544Z digest=sha256:d253203d1ab3036b2d599e31a3024edc7db1f65fe33f09b0dfa8d7150cc18bbc

Observation 28ebccb8-f1b2-4fca-a6b4-d1b5ab4e8ad4 · outbound

This paper cites SV3D: Novel multi-view synthesis and 3D generation from a single image using latent video diffusion.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting SV3D: Novel multi-view synthesis and 3D generation from a single image using latent video diffusion

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.781274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.852589Z digest=sha256:aa0c229a0403d14b698d3482576b1060b8ec8fec55389aa78c69a1a6a83806fd

Observation 0efd5458-fef3-4d08-a58c-587b0ac7aeb5 · outbound

This paper cites Gaussianeditor: Editing 3d gaus- sians delicately with text instructions.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Gaussianeditor: Editing 3d gaus- sians delicately with text instructions

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.765007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.857678Z digest=sha256:18541de7d2548454e0bc75fd426397306beac25d9f1d9409c113c84653682412

Observation 4bc4e675-f3ea-4160-acaa-adc8fca8623a · outbound

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

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Pixel2mesh: Generating 3d mesh models from single rgb images

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.746991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.863511Z digest=sha256:7a5757c67200bdbee6343188ef284b57800c78fce74738445823ff53d13b75ff

Observation 9282d2c6-bd65-42b5-ab13-0daa3c1193b7 · outbound

This paper cites ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T21:02:19.869220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:19.869220Z digest=sha256:e821b5e0a8c84e2ffc4fee84a924ffd9687165a417931455eed72a88f63fbb2c

Observation ac621412-1891-4ad1-85dc-60319a1b219a · outbound

This paper cites Real-esrgan: Training real-world blind super- resolution with pure synthetic data.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Real-esrgan: Training real-world blind super- resolution with pure synthetic data

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.730663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.875420Z digest=sha256:980786673deda497b561d5073d78d06d6b41b88f45d628e79d09f7a868afb8e4

Observation 4ab4cc7b-9c85-4a68-bd14-868bdb621f81 · outbound

This paper cites Learning 3d geometry and feature consistent gaussian splatting for object removal.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Learning 3d geometry and feature consistent gaussian splatting for object removal

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.712775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.880538Z digest=sha256:a0a2deafecd82adee59628cf9204642be505cde93a212a87f3569bbac982a290

Observation a973f23a-0197-4f6e-a6f1-7bb4869e8fcf · outbound

This paper cites PyGS: Large-scale Scene Representation with Pyramidal 3D Gaussian Splatting.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting PyGS: Large-scale Scene Representation with Pyramidal 3D Gaussian Splatting

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T21:02:19.885576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:19.885576Z digest=sha256:c64fed55eb9c6b79ec7661efb959c6e2333088813fe55dc6f6d25a1113eae46d

Observation a1d52f25-2605-4746-9fb1-fb7165b294fd · outbound

This paper cites Motionctrl: A unified and flexible motion con- troller for video generation.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Motionctrl: A unified and flexible motion con- troller for video generation

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.693664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.890532Z digest=sha256:39e450137bd36addcac35d13f0293b6d4d8667d30a26d29bc1ae3160d4d3a3c2

Observation 3564a2a1-9844-4abf-bffe-4cf16e9bfa77 · outbound

This paper cites Sur- face reconstruction from 3d gaussian splatting via lo- cal structural hints.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Sur- face reconstruction from 3d gaussian splatting via lo- cal structural hints

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.676578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.895512Z digest=sha256:018f32dbcf3046b0ba002399fc4a0871c32d043e9be26769e6a6751fdf5dbfd1

Observation e07c1df1-b430-46a4-ba45-91832b04f335 · outbound

This paper cites Unsupervised learning of probably symmet- ric deformable 3d objects from images in the wild.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Unsupervised learning of probably symmet- ric deformable 3d objects from images in the wild

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.661071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.900675Z digest=sha256:13844a095ba37adc674d74be3e9d3e12a9ef23031ca482502cd7822de9502d04

Observation ec9eeb70-4441-4860-a10c-731ca3bb1721 · outbound

This paper cites 3d-aware image generation using 2d dif- fusion models.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting 3d-aware image generation using 2d dif- fusion models

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.643612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.905780Z digest=sha256:e74ac5171e6c88043ead578e501c2b5456934bfddce4660da31f87e1de17e7d2

Observation e00ac085-02b6-4feb-8286-05c50a1ead25 · outbound

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

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Gs-slam: Dense visual slam with 3d gaussian splatting

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.626209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.910596Z digest=sha256:97a6a7253377dafb828156a804b03b4a1a4d530978d6a3187347ce2bad731beb

Observation 34340a79-e8f0-4b93-a0ed-f0fa4b4f4089 · outbound

This paper cites Depth any- thing: Unleashing the power of large-scale unlabeled data.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Depth any- thing: Unleashing the power of large-scale unlabeled data

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T21:02:19.915663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:19.915663Z digest=sha256:cfbbca60e7db11c11a8ed5578e086a237fbc7137c6aacf3aa7943b40764d327a

Observation 043ad62b-2b87-4cb5-a1ef-c540f37aff91 · outbound

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

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Gaussian grouping: Segment and edit anything in 3d scenes

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.596330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.920349Z digest=sha256:fb3d6a6d879b2e0f54ab87f662455b7f9b2eebea85a470e53575d22b5a633421

Observation 88ec1703-3f33-4a9e-962c-312e816ae5ba · outbound

This paper cites Learning to recover 3d scene shape from a single im- age.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Learning to recover 3d scene shape from a single im- age

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.580546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.925183Z digest=sha256:3aa0dca2e6d842812d6d0754e3f4df5008fca3377110b270e517e363afe9aeda

Observation bbd3c8d7-03a3-40ea-8206-140b10335c65 · outbound

This paper cites NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting NVS-Solver: Video Diffusion Model as Zero-Shot Novel View Synthesizer

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T21:02:19.930197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:19.930197Z digest=sha256:ca49f8ca313ca0759b894e2747ec4686e11b915da80b16f17fe3a2700f79db8e

Observation 9e5dd54d-f1c9-4b56-8a02-38ac9995a2e4 · outbound

This paper cites LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T21:02:19.935614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:19.935614Z digest=sha256:cc7a99ff262894a24f1cbbef86c5171809f9326b573e34a4f0c3d26cd0a2b96d

Observation c290eb7b-2ab0-43e3-8e55-b4b0c02015b0 · outbound

This paper cites ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-10T21:02:19.941108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:19.941108Z digest=sha256:1c54d490e624bc79916056d092706dd0e0b5ea196802ae49b625f8088d7445d5

Observation 3c908026-bf3d-48b5-9f49-6b6f8ff607b5 · outbound

This paper cites Gaus- sian opacity fields: Efficient adaptive surface recon- struction in unbounded scenes.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Gaus- sian opacity fields: Efficient adaptive surface recon- struction in unbounded scenes

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.564472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.946558Z digest=sha256:bfcb0eefff5c340207b4818af42fe8b9f9f4a21a0f50c8f00facb62308caa744

Observation 6abc8921-f089-4935-afbb-0bc2df3ea785 · outbound

This paper cites Egogaussian: Dynamic scene understanding from egocentric video with 3d gaussian splatting.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Egogaussian: Dynamic scene understanding from egocentric video with 3d gaussian splatting

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.547714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.951690Z digest=sha256:2c521a80a644b542c9af7e8c478f3e33630e9b446b9029adfd4480d9304a9175

Observation d5aaa75f-d3ba-4fda-a954-d5cb6ccfa41a · outbound

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

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Gs- lrm: Large reconstruction model for 3d gaussian splat- ting

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.530101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.956638Z digest=sha256:5d75da13f9992596a425e1218f620217d54d0c6b8f533481a949cb4a21a42a5d

Observation 766d2833-43da-479a-904f-c0e47d65732b · outbound

This paper cites InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting InFusion: Inpainting 3D Gaussians via Learning Depth Completion from Diffusion Prior

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-10T21:02:19.961539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:19.961539Z digest=sha256:d9c99a5f94715a7cac15b9cce9e39c88b8a463d0bb42f50f7462245940ae7ee5

Observation 3aa38a02-e621-4dbf-923e-8ad0c9c6720e · outbound

This paper cites Cvt-xrf: Contrastive in-voxel transformer for 3d consistent radiance fields from sparse inputs.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Cvt-xrf: Contrastive in-voxel transformer for 3d consistent radiance fields from sparse inputs

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.513579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.966342Z digest=sha256:9dd7d7cab96cb4d28a4dba194be6e7ef0a75d8a92f921122691afacecbd0a6bc

Observation f687283f-ddbf-4d37-80f5-cb828950070f · outbound

This paper cites Hugs: Holistic urban 3d scene understanding via gaussian splatting.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Hugs: Holistic urban 3d scene understanding via gaussian splatting

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.495498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.970887Z digest=sha256:8e90a30d62bb9b399a725c869090466dc09b67b27abd9a6f2ac712346f1fe87b

Observation 3f4b0b97-50d1-4e7e-9416-9fd4f7f32b0b · outbound

This paper cites ProPainter: Improving propagation and transformer for video inpainting.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting ProPainter: Improving propagation and transformer for video inpainting

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.478973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.975797Z digest=sha256:34e1c4d0de1da660e97582f6aa3fdec26a8149ae87178acc33db45c2ab1c190b

Observation 4ec37f54-368a-43be-bc5a-faf9d203309e · outbound

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

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.463051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.980879Z digest=sha256:0a394b0c77e02f4f55ed05bb06cf90fe554624bc94c0e82dcf5d248c36d8eb84

Observation cd839b69-b45c-4015-add2-2acec1c0a935 · outbound

This paper cites Ewa volume splatting.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting Ewa volume splatting

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.447454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.985919Z digest=sha256:a53cb1f050347a56b140c4585cbaadf6ec7c76f2b9c2c1a819f6ffe85930876d

Observation 250e0af0-f08a-4e3b-b0b4-2a3272fb0a77 · outbound

This paper cites class-conditioned RGBD generation model.

F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting class-conditioned RGBD generation model

Reference 2001

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:02:20.430336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T21:02:19.990629Z digest=sha256:3a9acd9c7867ef8b6eff70f57209ab3ffda8ba7d9464e4cf946560d3b38017f7

Pith citing papers

Observation 76bf188e-3940-4735-b860-2a3fa30a30e0 · inbound

Immunizing 3D Gaussian Generative Models Against Unauthorized Fine-Tuning via Attribute-Space Traps cites this paper.

Immunizing 3D Gaussian Generative Models Against Unauthorized Fine-Tuning via Attribute-Space Traps F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:55:48.965172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T19:30:06.396482Z digest=sha256:27835b8c9dc31124d330fb4259be0badf257e1aa64637c081c85c068dbda771b

Observation f4dfcde7-2b49-4fd5-bb20-b91967764bdf · inbound

AdaptiveSplat:Texture Aware Controllable 3D Gaussian Allocation for Feed-Forward Reconstruction cites this paper.

AdaptiveSplat:Texture Aware Controllable 3D Gaussian Allocation for Feed-Forward Reconstruction F3D-Gaus: Feed-forward 3D-aware Generation on ImageNet with Cycle-Aggregative Gaussian Splatting

Reference 60

Resolution
unresolved
no resolver link, observed 2026-07-11T20:35:53.491714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:35:53.491714Z digest=sha256:84ff7c8db42e2237095a8fd7da8ab541eba82c115bc20cb489a574d21fbbf50e