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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 2026-08-12T06:34:41.77262+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
  • malformed identifier0
  • metadata mismatch0

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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raw_fallback, observed 2026-08-10T21:02:21.505332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.648981Z digest=sha256:881457079b9869f2db7f7a0ea5b87f72b3a13735d89bd6fe9a1ebdd14a4a0233

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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raw_fallback, observed 2026-08-10T21:02:21.358756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.653857Z digest=sha256:882d07161b78d64d0e0db46374343b76cf51e2e9d4675b2ea835ffefc3f36db6

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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unresolved
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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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.664842Z digest=sha256:2fd7f8812280a7d6e22cb664b3d4a35d18021ba7d6ac1025e7b9ec2a8c260ed5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.669979Z digest=sha256:cd7c9cc7a7fa2462e199aa9a9afb8f43a18e165e419928c20ab0c158251edcfb

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.675413Z digest=sha256:c1becfdf3abbd0228281649304442aff6da93d728c1c476e879543e996913a28

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.680357Z digest=sha256:4d142f5df7819ba4918bf912be936d1d4f6d017feb5512f165c06d92d47a20b7

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.685720Z digest=sha256:2f816f2007a62ee5a1a7f68d4a9295885a5f8f9229789d51ccd3f53cac68463b

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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no resolver link, observed 2026-08-10T21:02:19.690948Z

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.696813Z digest=sha256:aaab91b0728163ab052f6f978bfe5ba6d7dc63e01a54463e0cbf36c46bd9d906

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.701655Z digest=sha256:ad3ee8293049dc7be9ee2fde2890a3fbab2dcadc9ebfd8b5b7160bb273779c8a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.707155Z digest=sha256:af8f0fef3f12466311488638c58a5370cff5ea739f774a9a70d5755a4476ad06

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.712419Z digest=sha256:dfaedd83c099843abff77466dac53feb504d42348debb914a257717d6ead2956

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.717302Z digest=sha256:1868072a9b03fb86f024448edaa687aa09365969944e385efcb184974707501d

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: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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.727197Z digest=sha256:858be84fd17c796e0c1c79a84acd4e1a2f2dd97f5fc4cf339ec964523ef083a7

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.737393Z digest=sha256:ff84fe9eb0ceaac0b4471cf657ef659c0d2dae6844cad093a125d2d6541b7528

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.742518Z digest=sha256:7b24d4e5096a3be75aa6af929e7eaffb2989f1f829a6619b22b29ada89a4c31d

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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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.747395Z digest=sha256:67fe53fd1568055c835fc41b8e4a035f772f233785017da7fb471ca2cdae6f7e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.752378Z digest=sha256:aa50aa3448f367e27ce0950f95c82b5f73dfce91c07bec827e679889739644cd

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.757280Z digest=sha256:933c713397847257e86d76f7f3f5096eff3331ae2f10dc1544d3ccb4a0088636

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=sha256:7eac9ed13096ea5a5701bd1a3b908b57a6247f312b3117047df2f1362279b806

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.767305Z digest=sha256:0997546f0d3bab243c71c1bb77a028c504d8350bfd2627605ef704223b9231e4

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.772333Z digest=sha256:45247f3afd16fdfaa2d9c7a3968654e1acbd13031f5a56f3d76eb2760c292923

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.777333Z digest=sha256:1fedb55b6c256aa6b7c0c0f6c67d9c0a0fe546b51e5261149b5889933260e846

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.782316Z digest=sha256:0904412cbb1fe84ba08920e8aab6dc3cc847ec3ab85c1841ad554d2f64637d1b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.787108Z digest=sha256:26951dbe72421a4648150c123a08cfd53b7cff04de9f78b97b6063115ef95e1b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.792178Z digest=sha256:d9afb737b130cd19a102796914deb5db134199223f8830a7662e02e6833cd525

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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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.797380Z digest=sha256:a0e1ffe4ae5b1f5d65203dad77b94c1ae633c5ab3c49c9414985b01d549dcebd

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.802367Z digest=sha256:f5bc081c852bf96fb3f4409dba4d0591aa6c0d8a69abaa8dbb580729fb26036c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.807346Z digest=sha256:6c5efeecb69c1e36096a0e8f79242967ddf816f752bd5f47a50dc07677015da7

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.817850Z digest=sha256:92d1e25831cba13fa13c78b05dc392afc3395353feb00f1a63919569ef00fc32

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.828036Z digest=sha256:94cc0b7304cd64c7c116e0ce9bf5b0915ed88b749281cd466c16074a1ac85d1a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.832694Z digest=sha256:68114d270e529297c17349ce4168d2bba46d09dbaef73785a71a21885dc039c6

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.837586Z digest=sha256:75f74b17f7506fe1bffdb8a0a1283b898635273569d7f79336602a1a67cc9af2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.842462Z digest=sha256:997fe686d217d7cb4a7d18a05d4d1b9304eda9dc60a332574431ddac7f691e30

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.847544Z digest=sha256:64fac05d3811ed60010a9b7557dcb44b3c487bf97d1e2501c84ed7bf7505fbc3

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.852589Z digest=sha256:42ee83ea28a8f4420289048fb011611c98b2028c733f6ac24190effd0157e4b9

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.857678Z digest=sha256:996e88050341df73ff85b3fc3d47909c0028e0edb5ac4064ad363c0d10c323d2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.863511Z digest=sha256:3319c94d764d5017b85e900c3cce992bbdc39882e990becc06768e261849a07d

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=sha256:428ea61a29a518419d0c14ce25f0ace4eb75ffda5d654bf85462e82585f3f8d3

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.875420Z digest=sha256:11b2ce7c51b1f86a1bf9536a015a49bd390ee8f2beaa2212f18e3f93962fe64c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.880538Z digest=sha256:8f0178abce38bd28049552c135c7561ee4fecc7ee96c5cf5e7d4249a9907355b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.890532Z digest=sha256:9757352d6b962f84815513dc7993037d4ba7111fac56ef7cecb8d1e8094d04fb

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.895512Z digest=sha256:89a0b44dc04f3dafbdc2d7705e08e4a780ded2d4de2d88a42342a44feb558918

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.900675Z digest=sha256:f003d464f9b7bf32540d5fbc3a90cc4d9e4ae5252bc1ed5410d05006a6908e6f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.905780Z digest=sha256:eb2245fa0c3b81e65e304c9b6fb954d7bbc1d296d01e3c53ea4450061ee5a145

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.910596Z digest=sha256:87a8acf303fe14b0c410a0af76cd46231fc3bf00d583c1f09e48d12226148abe

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.920349Z digest=sha256:458508c93e7c30f51a72ac2afb6564fe72a15c1e82d69d08262fc9b8f1bef8de

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.925183Z digest=sha256:5801c7a0b851336a37de60ba404289608a7efefb25784fe422b024ae0d412e5d

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.946558Z digest=sha256:a91fe661a34d43e16ea855639461bb16059231bf3769dfb92258a15145d693a5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.951690Z digest=sha256:dec20aaf416643e411532b531fdb2b6acf867a45822bc43565c85c1112c81a73

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.956638Z digest=sha256:e5f0b5ef1cfa36238560e901635fa60e44236a03602c7816bfa48292c7b35702

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.966342Z digest=sha256:f090c2a61fd1be632d81b8545d50ea05d2a1299eb46e734ecfe09906d40ededf

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.970887Z digest=sha256:525cfda8df97c8f573e95d691221e0a4fbb7a357ce01db417392c31a2379ba2a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.975797Z digest=sha256:939726c0e2f0a521dd985ffc2156812eadf214c7467f8aebf90481d770a17a5c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.980879Z digest=sha256:2d5910088d664b76e8b441163a12a26187d4c3c03353d9f9a1ac014a044d7f2b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.985919Z digest=sha256:ebe4d01d642a551ee3feaea46028846e7be9fa7850c8e598b71c6c993da99092

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T21:02:19.990629Z digest=sha256:787164b404e4687523b3e2186fd18616f5834feab52e301797bd81dcd51ad3c2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T19:30:06.396482Z digest=sha256:acb07f8146395f4bcdb19884d13b80d45a7b28306118314cfbfaeef67de94260

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