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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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
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  • 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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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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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=sha256:0f6d7c7e73eb8b18c46ad5bd5596bd6546bd5f090c5d344bddd1e560da419b21

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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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verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.675413Z digest=sha256:b52a0ab377cb2f74d46e230848b20d840353c7cd6070617ca9e788df1e22efb0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.680357Z digest=sha256:806e7a3fbd5b9265575119e26ddb1829a110673c9c5f1606fc28190f509ace46

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.685720Z digest=sha256:0242a9d7e0a85300e8a8f11c59920a4b2336546111f4e7b38716a8f03efdcb40

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=sha256:8d42688f39115d021e694fe76c1e729764d52194bdde1a500b9fb60fa58373eb

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.696813Z digest=sha256:1bf69338423254ecbd90cf3b958a4363d44543e337f50120ff26c128eb7ff073

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.701655Z digest=sha256:7a6a23c53dd3c3745fb94a45a7deb4e44663e19da6c2844b84bbe009e9d63ced

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.707155Z digest=sha256:6d9fa2cab1f85d27d7079dba57ca2f7e5e10add10ef5cbbf3b02b3fa654ccc20

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.712419Z digest=sha256:caa6b76ee2b270e864e7def42010207ad089e8c66654d73e821ec7400724d1ec

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.717302Z digest=sha256:5de009fba49d9ede1bc44829bfd8392376d13234a1d54381449e3e9dd4d6c872

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:19.722096Z digest=sha256:c3e3ae9963337b097aa22323e13be87121c42b6c28a4217ece1e5dada805fd2f

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.727197Z digest=sha256:192743c2c994d5cfbc6ef42194931746c032e13bc2906f2af7049e977dd94b48

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:ff37476ed13e821ab20dbd04e60a47057c4af4ea49b9bbda0789c5965d255d2d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.737393Z digest=sha256:2c1852732ae2e8fbf82e0b55ee4c847cc771b0c0a9623ecf2cc1401e885c5a15

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.742518Z digest=sha256:75208ed6b189967dc0d316507507b295f69f53652cd6bf5439d2a510b7555c6b

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.747395Z digest=sha256:27cf2ff035e99463b461bf71a0df881f7208cb5bff8fe21a159a9e763ac22dc2

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.752378Z digest=sha256:ec2719cdcd40e28589925d710add74ea38df9e71bb158bbffab8e908baf6b54e

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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verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.757280Z digest=sha256:ce2febec02214f83e4edef3199318e83bb49eccebf60abe313276542ad775dde

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:02:19.762146Z digest=sha256:7eac9ed13096ea5a5701bd1a3b908b57a6247f312b3117047df2f1362279b806

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.767305Z digest=sha256:8204b7380ce790453462c90105525002b877ec6334d86531e674dddc497f8848

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.772333Z digest=sha256:c5ef0fb22e544981d37de06d3b67462d6bfa75584be1211c4c6b3a2b4a140f77

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.777333Z digest=sha256:744531762d2c7eb84df23d5c6b0add417a7ddc5755ff24e75cb5930669a660d5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.782316Z digest=sha256:3b1a91edec3391f3515d6c6c49a0e58f9d440f431ec938cc3836d03c29ecf1b0

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.787108Z digest=sha256:f8efeee51c252a14cc6bb584317cd33a104f9ad6a3e5b73187f4c2dafbef0d9c

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.792178Z digest=sha256:fd4d6e101450d2ef9f234dde070893530ad17681660d9d3a5caf43b505466267

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

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.797380Z digest=sha256:d67381711344030dd9cf55a328f8f0adc2d07705d57e63a61472226362ff31a5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.802367Z digest=sha256:d9019ecac897a828ead458cbb985e847ec209665127de43ca04ebe7405d0d895

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.807346Z digest=sha256:81d2450909c490da23b60c825d1a5c20068f61b2dc45c4a67691cda73b5584cb

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=sha256:70bb8e1f0228cbd025119b59f8d4f432930cb9c1670face0ad1c96775dcca133

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.817850Z digest=sha256:e4098b9669215f1a3dc3577c0b0690a064c3cefb0aedf3fa1da504fa1b0ff40a

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=sha256:16e5639f1774896f772c40a5d8ef0e8e8013061da9362115a09b6c88ab4d74f7

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.828036Z digest=sha256:ae265add6d913507572a3086776d46a94c2b8b94d087de5e2bcdd8220b892cbe

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.832694Z digest=sha256:cf7c0423a6a50afbc308d5856b0b76090cd72ff94ceeac93f55b8ac707d3bf02

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.837586Z digest=sha256:a13351a8ae8ae2fc3377a442dd85f561b3f5dfe6c34027f75c2b7ece4062f2f8

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.842462Z digest=sha256:58e70d666b8a6190c6a6bae1bd4d686435ba9f5da16823b2d1f382e499953c73

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.847544Z digest=sha256:c25833f458037c0bbfd962998987552d3775556391a4f0e67b54555fc6cf8552

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.852589Z digest=sha256:aab2ffd7cd7c1acf1a7882702342467d39614e11eb8a518f3521c4981178358e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.857678Z digest=sha256:4bd9a1595d38e93b5eaf78ab91cb9255316b68b931c079d48059326cbbcd5fe1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.863511Z digest=sha256:918f3460a158fc21daf063e04d016d627c0da6e6a5592b19a6b68acf4e319a7d

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:b22d0be5c07c3a20dbc66cf64aabadb15e08d03172bf827ba1af3f50ea7c0eaf

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.875420Z digest=sha256:8267489ff49c656466683305d02d821cf8e4037894065c50f032efb2e7dee7a8

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.880538Z digest=sha256:99c4e636a141a430c0d6897b8fa2365561ebba25ff8cecf7a48a461f71315cfb

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=sha256:78a90c7ad27191df4b7d5ee53035c5e83ecd92e3b8255a26f6921102786624e3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.890532Z digest=sha256:bf9fa7b29ab735ea2155783ea953d68c16cf2e0c86645c933d554b1586b7032e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.895512Z digest=sha256:d33c2da739371d70ca25d7b5502e024ae652b43ff0b0cbc73d1728958cc4bd6c

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.900675Z digest=sha256:ab45562b956cb866d56bd302e3190a7863362d5d7a97069ea8d142cfdb2b2ab9

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.905780Z digest=sha256:d9058aefb087144ba445831192c79feeaf411ade5609086865e1c29f4cfc3f8f

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.910596Z digest=sha256:926ad6c6c242bed2fca40a3c18a8fd270d99306599583e19ec5a5862b3989b8b

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:c016eb5d992deca9c78da4103353d9908bb7becd2e7b056ee5d3e4ec11078627

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.920349Z digest=sha256:536aaccfabe697321f8070a2675cc3575dec53f68dd9689ece8748e7dfda10dc

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.925183Z digest=sha256:e01aa588415ba6b30e0fa08cb79263cab43760e504f7eb5918402bfd45fafb27

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:a6edbae900baaef4b34a2584434689c3cb90aee599a5a91580e30f371b36ad47

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=sha256:4f3f5583f7786be5c068c17603156b8e96b3279d42a0fe33f72f1a43286ba44a

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:f415c79ed56beb7977084f6ac578ed7db1470768251f88977a5da34a89e1df23

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.946558Z digest=sha256:6227015fbde45380d8c9abd9a35dd6a583cf094ec36a8b11ce721d0a9487021e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.951690Z digest=sha256:230a4e0d7b6abc6f093efb0b85fb7ecfd80dca1905368fc7e1d1d0f2431dc6df

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.956638Z digest=sha256:3d856ef73054c07158261e32d5b2f4e7f1fd7bf227d161d8afc299c6a7f0f1e6

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:edd4b4ec6c82a54618357932445bb5b8d7d731d121488e9b2e9e3eaa4cf50008

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.966342Z digest=sha256:e9b6fde5538811fcf313b540f7ea29d97069867dbacc35e2a7610506c9e8dfb3

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.970887Z digest=sha256:42612cc3bb61cdbfcf08fc2cf6b5fa8d09e5470d85a3629a64328a6d733cf3ca

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.975797Z digest=sha256:ff1126bb8235047bc49acd25a80b5ab16a67cbf1d4e9a491fc2c84cd5430d960

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.980879Z digest=sha256:70a45ecb0e6d397e049963e18e1c8fba83d329d9b10d018049674dcc8b8e079d

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.985919Z digest=sha256:2286db90f22d736410d2de7f47833224395240ab470d0e52dbf550a5cf9eef8e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:02:19.990629Z digest=sha256:ae7d18d6fd96d9195d8afd6c0b0925e6a9ae72e72370a365cbd63b48a5acddc1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T19:30:06.396482Z digest=sha256:8e4eb547bcd2d91af8c43a3f811baa881d9a790737dbf9030cb6c51aa716bbe6

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:af4c9ca36b1616718ab91bc605f09ff62c3bff50e28f0ea6480062b9702bf15b