Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T18:17:23.135056Z
Paper Citation Record · LEDGER
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds
As of 9 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2508.14892.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
59 of 59 outbound references displayed
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- unresolved18
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b7aefb82-ed2d-409c-a7f0-d48520a2469d · outbound
This paper cites an unresolved cited work.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Unresolved cited work
Reference 1
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Source-reported events for the cited work
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Observation 4e368173-6b8c-423e-bc1f-34b373fc300f · outbound
This paper cites Auto-rectify network for unsupervised indoor depth estimation.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Auto-rectify network for unsupervised indoor depth estimation
Reference 2
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Observation 13dacdbc-cea3-480e-b1ab-694be264fc3e · outbound
This paper cites Geometry-guided progressive nerf for generalizable and efficient neural human rendering.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Geometry-guided progressive nerf for generalizable and efficient neural human rendering
Reference 3
- Resolution
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Source-reported events for the cited work
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Observation 106e4d0f-6a13-46d5-a715-dca89f75ae50 · outbound
This paper cites Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Generalizable Neural Performer: Learning Robust Radiance Fields for Human Novel View Synthesis
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation 121546c9-cb80-4521-8ce6-448082d35b91 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 5
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Source-reported events for the cited work
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Observation c420e113-e077-47ee-bb62-373b15b24643 · outbound
This paper cites High-fidelity 3d human digitization from single 2k resolution images.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds High-fidelity 3d human digitization from single 2k resolution images
Reference 6
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Source-reported events for the cited work
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Observation 31a47313-de49-49f8-ab1c-37823edd56ba · outbound
This paper cites Deep residual learning for image recognition.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Deep residual learning for image recognition
Reference 7
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Source-reported events for the cited work
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Observation 5624e6ad-65b0-408f-8c61-e5e6eeae9297 · outbound
This paper cites Sith: Single-view tex- tured human reconstruction with image-conditioned diffu- sion.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Sith: Single-view tex- tured human reconstruction with image-conditioned diffu- sion
Reference 8
- Resolution
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Source-reported events for the cited work
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Observation 201b463c-7fdb-466c-ba8f-0254525b7da6 · outbound
This paper cites Learn- ing locally editable virtual humans.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Learn- ing locally editable virtual humans
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation 6526c091-d751-4054-a9ae-cdb15f19e2e7 · outbound
This paper cites Gaussianavatar: Towards realistic human avatar modeling from a single video via animatable 3d gaussians.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Gaussianavatar: Towards realistic human avatar modeling from a single video via animatable 3d gaussians
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 79038150-4ef6-4944-856e-7a0d80c48bc5 · outbound
This paper cites Gauhuman: Articu- lated gaussian splatting from monocular human videos.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Gauhuman: Articu- lated gaussian splatting from monocular human videos
Reference 11
- Resolution
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Source-reported events for the cited work
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Observation aea2cf53-f888-4d6c-8ca0-b9559f7a9958 · outbound
This paper cites Tech: Text-guided reconstruction of lifelike clothed humans.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Tech: Text-guided reconstruction of lifelike clothed humans
Reference 12
- Resolution
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Source-reported events for the cited work
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Observation f3b693cf-2d40-4b0d-99f4-6dfd4055d703 · outbound
This paper cites SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos
Reference 13
- Resolution
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Source-reported events for the cited work
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Observation 0ebd190f-7e4e-4a55-8dba-034bffd2a4b6 · outbound
This paper cites Hifi4g: High-fidelity human performance rendering via compact gaussian splatting.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Hifi4g: High-fidelity human performance rendering via compact gaussian splatting
Reference 14
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Source-reported events for the cited work
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Observation 110d1a30-f9e2-4a12-9f4a-0da48bc19009 · outbound
This paper cites 3d gaussian splatting for real-time radiance field rendering.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds 3d gaussian splatting for real-time radiance field rendering
Reference 15
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8eee804f-f638-4dff-866c-d714fc911cd6 · outbound
This paper cites Hugs: Human gaussian splats.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Hugs: Human gaussian splats
Reference 16
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 11b4c00a-09ba-4840-a9f1-856170981d9d · outbound
This paper cites Imagenet classification with deep convolutional neural net- works.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Imagenet classification with deep convolutional neural net- works
Reference 17
- Resolution
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Source-reported events for the cited work
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Observation d7fa042b-7bc3-49ce-bf81-54742faa9c14 · outbound
This paper cites Neural human performer: Learning generalizable ra- diance fields for human performance rendering.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Neural human performer: Learning generalizable ra- diance fields for human performance rendering
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation ce3a4dbf-2558-4401-9b9e-f2fb94180588 · outbound
This paper cites Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling
Reference 19
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Source-reported events for the cited work
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Observation 952535f2-195c-4ec3-a0d4-83766d6279bb · outbound
This paper cites Generalizable Human Gaussians for Sparse View Synthesis.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Generalizable Human Gaussians for Sparse View Synthesis
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation b7706e26-7a08-4e41-98cd-6cbef3a12fe1 · outbound
This paper cites Gart: Gaussian articulated template mod- els.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Gart: Gaussian articulated template mod- els
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 038f5b58-8e6c-4a5a-9a69-40c20010f064 · outbound
This paper cites Ground- ing image matching in 3d with mast3r, 2024.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Ground- ing image matching in 3d with mast3r, 2024
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation b90d716f-0292-4ce9-84c4-693f3941b7c7 · outbound
This paper cites GaussianBody: Clothed Human Reconstruction via 3d Gaussian Splatting.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds GaussianBody: Clothed Human Reconstruction via 3d Gaussian Splatting
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation b400a7e3-950e-42a0-82e6-87fa0411b57b · outbound
This paper cites Tava: Template-free animatable volumetric actors.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Tava: Template-free animatable volumetric actors
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation bb2bfedc-14ba-4772-a156-6c0c49cc2b46 · outbound
This paper cites Ani- matable gaussians: Learning pose-dependent gaussian maps for high-fidelity human avatar modeling.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Ani- matable gaussians: Learning pose-dependent gaussian maps for high-fidelity human avatar modeling
Reference 25
- Resolution
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Source-reported events for the cited work
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Observation db22ee1a-82e6-4ae3-9bbd-915da90ae595 · outbound
This paper cites Raft-stereo: Multilevel recurrent field transforms for stereo matching.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Raft-stereo: Multilevel recurrent field transforms for stereo matching
Reference 26
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation e4cb8028-f27c-448f-92bf-004bf7b74154 · outbound
This paper cites Smpl: A skinned multi- person linear model.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Smpl: A skinned multi- person linear model
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
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Observation 49959803-0ea6-4f57-ad0c-ee2abbf329d7 · outbound
This paper cites Decoupled Weight Decay Regularization.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Decoupled Weight Decay Regularization
Reference 28
- Resolution
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Source-reported events for the cited work
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Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Keypointnerf: Generalizing image-based volumetric avatars using relative spatial encod- ing of keypoints
Reference 29
- Resolution
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Source-reported events for the cited work
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Observation 49485e47-a3f2-417f-a274-30a42ed925d3 · outbound
This paper cites Human gaussian splatting: Real-time rendering of animatable avatars.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Human gaussian splatting: Real-time rendering of animatable avatars
Reference 30
- Resolution
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Source-reported events for the cited work
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Observation ff723bcd-5d2a-4e45-b61d-2428b83800c2 · outbound
This paper cites HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds HumanSplat: Generalizable Single-Image Human Gaussian Splatting with Structure Priors
Reference 31
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f866930-9081-40da-9341-1964bb1c4b47 · outbound
This paper cites an unresolved cited work.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Unresolved cited work
Reference 32
- Resolution
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Source-reported events for the cited work
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Observation 4359112a-6739-4e87-b706-c1eb9e4f2669 · outbound
This paper cites Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Neural body: Implicit neural representations with structured latent codes for novel view synthesis of dynamic humans
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fd9c6081-f3df-499b-9890-fe3be44320ac · outbound
This paper cites Vi- sion transformers for dense prediction.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Vi- sion transformers for dense prediction
Reference 34
- Resolution
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Source-reported events for the cited work
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Observation 761145d0-8f58-452a-840e-d7bdc8d3ad0f · outbound
This paper cites High-resolution image synthesis with latent diffusion models.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds High-resolution image synthesis with latent diffusion models
Reference 35
- Resolution
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Source-reported events for the cited work
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Observation 3d4afe35-d142-42e8-8f80-cfb2b1921ac6 · outbound
This paper cites U- net: Convolutional networks for biomedical image segmen- tation.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds U- net: Convolutional networks for biomedical image segmen- tation
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ab46cab0-349c-4c89-bc69-502774cc8543 · outbound
This paper cites Efficient variants of the icp algorithm.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Efficient variants of the icp algorithm
Reference 37
- Resolution
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Source-reported events for the cited work
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Observation 00c32191-0f13-4ca3-830b-719de0bac249 · outbound
This paper cites Pifu: Pixel-aligned implicit function for high-resolution clothed human digitiza- tion.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Pifu: Pixel-aligned implicit function for high-resolution clothed human digitiza- tion
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 312c16ef-c593-4a8d-a854-74316acf587d · outbound
This paper cites Pifuhd: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Pifuhd: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization
Reference 39
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bc1d01f3-a7b3-4f7e-a862-ac15b01a064b · outbound
This paper cites Floren: Real-time high-quality human performance render- ing via appearance flow using sparse rgb cameras.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Floren: Real-time high-quality human performance render- ing via appearance flow using sparse rgb cameras
Reference 40
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4eee0f75-9b0b-49d8-b243-0ce562b9008e · outbound
This paper cites MVDream: Multi-view Diffusion for 3D Generation.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds MVDream: Multi-view Diffusion for 3D Generation
Reference 41
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7d923cf-b825-4474-ae13-5267a2d2136b · outbound
This paper cites Sc-depthv3: Robust self- supervised monocular depth estimation for dynamic scenes.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Sc-depthv3: Robust self- supervised monocular depth estimation for dynamic scenes
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:17:26.063588Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3a0a98c9-06dc-4b96-afe6-8bf8d514528c · outbound
This paper cites Lgm: Large multi-view gaussian model for high-resolution 3d content creation.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Lgm: Large multi-view gaussian model for high-resolution 3d content creation
Reference 43
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c9a5ec19-2d8f-426f-a956-6bb42ea8146b · outbound
This paper cites Dust3r: Geometric 3d vi- sion made easy.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Dust3r: Geometric 3d vi- sion made easy
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:17:25.709921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7d623a86-7b1a-4461-809f-303978990959 · outbound
This paper cites 4d-dress: A 4d dataset of real-world human clothing with se- mantic annotations.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds 4d-dress: A 4d dataset of real-world human clothing with se- mantic annotations
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:17:25.502630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8225bd23-1435-49f3-9be9-6b757cdb66e9 · outbound
This paper cites Image quality assessment: from error visibility to structural similarity.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Image quality assessment: from error visibility to structural similarity
Reference 46
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30fa75e8-c466-43e2-a469-09a33e948cc7 · outbound
This paper cites Croco v2: Improved cross-view completion pre- training for stereo matching and optical flow.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Croco v2: Improved cross-view completion pre- training for stereo matching and optical flow
Reference 47
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54d11b37-89ca-487b-90c3-aa7c30ed37ab · outbound
This paper cites Structured 3d latents for scalable and versatile 3d gen- eration.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Structured 3d latents for scalable and versatile 3d gen- eration
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:17:25.365654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 030489ca-98bf-4201-86fa-ac9c1954a1b8 · outbound
This paper cites Icon: Implicit clothed humans obtained from nor- mals.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Icon: Implicit clothed humans obtained from nor- mals
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:17:25.194043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c9a4c280-b699-4f0c-b835-f10baa6f0dac · outbound
This paper cites Econ: Explicit clothed humans optimized via normal integration.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Econ: Explicit clothed humans optimized via normal integration
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:17:25.025059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 538c2971-fa0f-4d13-9d80-9569e3485d6e · outbound
This paper cites Human-3diffusion: Realistic avatar creation via explicit 3d consistent diffusion models.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Human-3diffusion: Realistic avatar creation via explicit 3d consistent diffusion models
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:17:24.812968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 496cc6b9-1862-4e4c-b2ca-78ceeada7b8c · outbound
This paper cites GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds GaussianObject: High-Quality 3D Object Reconstruction from Four Views with Gaussian Splatting
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:17:22.227500Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8bc48831-f972-42c1-a2a5-73e4ac5272b3 · outbound
This paper cites Generalizable Neural Voxels for Fast Human Radiance Fields.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Generalizable Neural Voxels for Fast Human Radiance Fields
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:17:22.342409Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6a9b627a-2396-4349-b007-4e5530f240d8 · outbound
This paper cites Learning to recover 3d scene shape from a single image.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Learning to recover 3d scene shape from a single image
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:17:24.587258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 87845cef-ecb2-434a-91bc-0c8bd4af87a0 · outbound
This paper cites Function4d: Real-time human vol- umetric capture from very sparse consumer rgbd sensors.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Function4d: Real-time human vol- umetric capture from very sparse consumer rgbd sensors
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:17:24.366717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0c645abf-651e-44da-9953-21b605c0e7b8 · outbound
This paper cites The unreasonable effectiveness of deep features as a perceptual metric.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds The unreasonable effectiveness of deep features as a perceptual metric
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:17:24.151524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1dbc7bb6-b90f-4dff-a931-38c4c61d0a1e · outbound
This paper cites Global-correlated 3d-decoupling transformer for clothed avatar reconstruction.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Global-correlated 3d-decoupling transformer for clothed avatar reconstruction
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:17:23.962011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 51a43f1a-d52b-4d1e-80ba-048a10d17560 · outbound
This paper cites Sifu: Side-view conditioned implicit function for real-world us- able clothed human reconstruction.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Sifu: Side-view conditioned implicit function for real-world us- able clothed human reconstruction
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T18:17:23.766049Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c2567d87-9801-4a7b-9dd7-724cdd111141 · outbound
This paper cites Gps- gaussian: Generalizable pixel-wise 3d gaussian splatting for real-time human novel view synthesis.
Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Gps- gaussian: Generalizable pixel-wise 3d gaussian splatting for real-time human novel view synthesis
Reference 59
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-05T18:17:23.601110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.