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Paper Citation Record · LEDGER

Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds

As of 13 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.

pith.paper-citation-record.v1
2508.14892 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:17:23.135056Z

measured 59 of 59 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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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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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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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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

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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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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

Resolution
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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

Resolution
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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
verified fuzzy
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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

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Source-reported events for the cited work

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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

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verified fuzzy
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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

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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

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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

Resolution
verified fuzzy
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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

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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

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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

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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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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

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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
verified fuzzy
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Source-reported events for the cited work

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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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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
verified fuzzy
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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
verified fuzzy
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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

Unavailable: canonical work link unavailable.

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Observation 08a09484-c797-4ac2-9fa1-cff97201d653 · outbound

This paper cites Keypointnerf: Generalizing image-based volumetric avatars using relative spatial encod- ing of keypoints.

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
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 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
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 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.

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Observation 2f866930-9081-40da-9341-1964bb1c4b47 · outbound

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Snap-Snap: Taking Two Images to Reconstruct 3D Human Gaussians in Milliseconds Unresolved cited work

Reference 32

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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
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 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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
verified fuzzy
raw_fallback, observed 2026-08-05T18:17:27.236816Z

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=2026-08-05T18:17:19.919257Z digest=sha256:77d1437706cab7768bacdf2d81cdbe5453f8b4d46487a73f3d64e45bdf7dd199

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
verified fuzzy
raw_fallback, observed 2026-08-05T18:17:27.033086Z

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=2026-08-05T18:17:20.119116Z digest=sha256:217a0fa5ba75a6c610ee6465f0054982a0a67b7ec305f7c7549a141344ad7faf

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
verified fuzzy
raw_fallback, observed 2026-08-05T18:17:26.870360Z

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=2026-08-05T18:17:20.251092Z digest=sha256:c7b26506aaaeeaf46a606cc0d40da1e358b3ab5129dc04f869a70bbf015214a9

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
verified fuzzy
raw_fallback, observed 2026-08-05T18:17:26.667010Z

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=2026-08-05T18:17:20.364628Z digest=sha256:befe3cb6d5ad310e7d03a2386368bcf97105f9e8bff3b410522b6613754be634

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
raw_fallback, observed 2026-08-05T18:17:26.468055Z

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=2026-08-05T18:17:20.488558Z digest=sha256:7cfb7b3e80f86ad380f24c57db630527975c4bdbb70e21d2ff219484d9d34bc4

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
raw_fallback, observed 2026-08-05T18:17:26.282376Z

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=2026-08-05T18:17:20.537903Z digest=sha256:2bf59fb4fd128931a9c0f7d7d8eca2d46af93bca9e5462d6fdc012dda649d05b

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
unresolved
no resolver link, observed 2026-08-05T18:17:20.642611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:17:20.642611Z digest=sha256:5b804de06af60cd4e18a3f94e19470c7e19612dee678c1dcd558042fa3e8faaa

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

source=pdf_text observed=2026-08-05T18:17:20.795891Z digest=sha256:261fad4bb353a3a038488a10c52fa9e8c6ebfed7d96ecb6284dd775682b18ce3

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
raw_fallback, observed 2026-08-05T18:17:25.882198Z

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=2026-08-05T18:17:20.937918Z digest=sha256:d712ba46e17915b048436ac0d31c62611d3d666539f8b8308ef40d94e1c6ddec

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

source=pdf_text observed=2026-08-05T18:17:21.094813Z digest=sha256:bf9cf8a52831b8466834fd7d0d4a76b0d0caa7b52f51e6cfa0b35ba0ba70b813

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

source=pdf_text observed=2026-08-05T18:17:21.210369Z digest=sha256:399d589d2c049db7a042e65ad07abd53c3076ff8a6067e60cd120fcdd606f415

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
unresolved
no resolver link, observed 2026-08-05T18:17:21.354215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:17:21.354215Z digest=sha256:2827169ecf52d08393ae3bf3c26f6715595a25414cb4aebe21199ef67459660c

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
unresolved
no resolver link, observed 2026-08-05T18:17:21.525760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:17:21.525760Z digest=sha256:64c223e34ba50c1e8dc1df52954adbcd516fb74e93355fef0cf9377cc8b1cee7

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

source=pdf_text observed=2026-08-05T18:17:21.677236Z digest=sha256:0ec009d61a28fe83ae108a2620652a139565a7db617399ffaeff35fef2630147

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

source=pdf_text observed=2026-08-05T18:17:21.825405Z digest=sha256:834f68e6df798a01fbabfdc5d93739c4365d16d98561bcba490a2151e56fd03c

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

source=pdf_text observed=2026-08-05T18:17:21.989614Z digest=sha256:abf996591d4c0fc4751f476323424b8ee0a024c215e119c6707a6e395f2521ac

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

source=pdf_text observed=2026-08-05T18:17:22.105208Z digest=sha256:6475b63a90062d4628d7ae9f17950652909a0604727e03452f5375e34f271934

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.

source=pdf_text observed=2026-08-05T18:17:22.227500Z digest=sha256:8b318a716a3a8280c053000264c1626ebe76398c776137b2eaafae0af9863d34

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.

source=pdf_text observed=2026-08-05T18:17:22.342409Z digest=sha256:25ad3c928147a210df6220a8e7b80416f5776d0f4c390f8df80ae5920495fcd2

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

source=pdf_text observed=2026-08-05T18:17:22.451980Z digest=sha256:147f4660895e32fc125e351eb018bbdd6ccc9ce4683a5b70708edea5bf93fb65

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

source=pdf_text observed=2026-08-05T18:17:22.657712Z digest=sha256:c97e0cb5ef59c0b0518ff160048fa80e5daf14a504d231b8598f471b6d71a06f

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

source=pdf_text observed=2026-08-05T18:17:22.744117Z digest=sha256:9433b7451e792b18b9d9884d657be65f7332b29cb976c5469ae4092706362ad9

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

source=pdf_text observed=2026-08-05T18:17:22.897408Z digest=sha256:a0361b7f552ff6eb47323167e78d716e35af7d7768efecf1fb6333db07753f0d

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

source=pdf_text observed=2026-08-05T18:17:22.984217Z digest=sha256:2fa1e63ded4768c77399148b64124ddcef5d08bd961f583da0ed4ac40a08e76f

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

source=pdf_text observed=2026-08-05T18:17:23.135056Z digest=sha256:3391d61b01a7f0db8625e450c09f597382d2da32428fdf6afa54cdd6f35e2fbc

Pith citing papers

No inbound Pith citation observations are available.