Paper Citation Record · LEDGER

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE

As of 22 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 2 inbound Pith citation observations for arXiv:2501.05483.

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

pith.paper-citation-record.v1
2501.05483 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

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measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T16:38:08.227574Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T16:41:06.312238Z

Reference resolution

56 of 56 outbound references displayed

verified exact1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c22a123e-be72-4b4e-9181-3bb9c945e44e · outbound

This paper cites Hand-object contact con- sistency reasoning for human grasps generation,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Hand-object contact con- sistency reasoning for human grasps generation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.658283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d99cbb73-51c3-4b1a-b43f-dd6b54d0bbac · outbound

This paper cites Grasping field: Learning implicit representations for human grasps,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Grasping field: Learning implicit representations for human grasps,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.646684Z

Source-reported events for the cited work

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Observation da739a6a-f74c-4bcc-aeba-8742fcb534ee · outbound

This paper cites A skeleton-driven neural occupancy representation for articulated hands,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE A skeleton-driven neural occupancy representation for articulated hands,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.632305Z

Source-reported events for the cited work

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Observation 81abf5af-e380-498f-a683-7550f2b09a71 · outbound

This paper cites Coop: De- coupling and coupling of whole-body grasping pose generation,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Coop: De- coupling and coupling of whole-body grasping pose generation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.617646Z

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Observation 3126a30a-c6ce-451b-9bf9-8c5a0b815782 · outbound

This paper cites Attentive relational networks for mapping images to scene graphs,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Attentive relational networks for mapping images to scene graphs,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.600110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0b58a674-1ac8-483d-8443-63c5a13b9694 · outbound

This paper cites Semantics-aware spatial-temporal binaries for cross-modal video retrieval,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Semantics-aware spatial-temporal binaries for cross-modal video retrieval,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.584799Z

Source-reported events for the cited work

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Observation 85522439-9366-47cd-8d9c-ba3bbea66eb6 · outbound

This paper cites Stc-gan: Spatio-temporally coupled generative adversarial networks for predictive scene pars- ing,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Stc-gan: Spatio-temporally coupled generative adversarial networks for predictive scene pars- ing,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.572301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 351c8e05-8250-43f1-9674-3b102f905f80 · outbound

This paper cites Hand pointnet: 3d hand pose estimation using point sets,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Hand pointnet: 3d hand pose estimation using point sets,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.560249Z

Source-reported events for the cited work

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Observation 658e271c-e9b3-420a-bf53-d3beda25af41 · outbound

This paper cites Learning to estimate 3d hand pose from single rgb images,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Learning to estimate 3d hand pose from single rgb images,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.549078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7935d29d-50ea-4bfc-93a8-30d1e068d655 · outbound

This paper cites 3d hand shape and pose from images in the wild,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE 3d hand shape and pose from images in the wild,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.537395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e6f7ba2e-dca9-46ad-83a4-36052e5463dc · outbound

This paper cites Learning joint reconstruction of hands and manipulated objects,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Learning joint reconstruction of hands and manipulated objects,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.525972Z

Source-reported events for the cited work

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Observation f0835ffe-300d-4a59-915e-b6a5d7f702ec · outbound

This paper cites A point set generation network for 3d object reconstruction from a single image,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE A point set generation network for 3d object reconstruction from a single image,

Reference 12

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Observation 7620154b-b8a2-45aa-9bd6-4d854e3810ac · outbound

This paper cites 3d object reconstruction from hand-object interactions,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE 3d object reconstruction from hand-object interactions,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.493646Z

Source-reported events for the cited work

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Observation ea175317-b213-4660-a4ec-cf8fcd2c902d · outbound

This paper cites Hmdo: Markerless multi-view hand manipulation capture with deformable objects,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Hmdo: Markerless multi-view hand manipulation capture with deformable objects,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.478880Z

Source-reported events for the cited work

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Observation 86eef121-f14a-4ffa-91a9-90eb423eeedf · outbound

This paper cites Nonrigid object contact estimation with regional unwrapping transformer,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Nonrigid object contact estimation with regional unwrapping transformer,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.465181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7972c8f2-dcf5-4692-9304-f2a2b78472fd · outbound

This paper cites Contactgen: Generative contact modeling for grasp generation,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Contactgen: Generative contact modeling for grasp generation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.449627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 65e19edd-0f7f-4fdd-ac00-7535aa804b95 · outbound

This paper cites Grab: A dataset of whole-body human grasping of objects,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Grab: A dataset of whole-body human grasping of objects,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.436651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d39b8e82-b073-43b7-9f7d-cee8c3a00f2f · outbound

This paper cites Ganhand: Predicting human grasp affordances in multi- object scenes,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Ganhand: Predicting human grasp affordances in multi- object scenes,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.419718Z

Source-reported events for the cited work

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Observation 4da77707-6008-4111-9869-7fd1197f40a0 · outbound

This paper cites Generative adversarial nets,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Generative adversarial nets,

Reference 19

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Observation b2ab73a7-a652-4301-a106-d80e6f8c4bc8 · outbound

This paper cites Neural discrete representation learning,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Neural discrete representation learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.399848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c2af1fc2-b0d1-4ad0-a7b4-bbc58e054703 · outbound

This paper cites Embodied Hands: Modeling and Capturing Hands and Bodies Together.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Embodied Hands: Modeling and Capturing Hands and Bodies Together

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T21:42:56.791018Z

Source-reported events for the cited work

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Observation d3f9f999-30b2-42ea-82de-ec62693f6604 · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Pointnet: Deep learning on point sets for 3d classification and segmentation,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:42:56.795470Z

Source-reported events for the cited work

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Observation e8de721b-bde0-49e4-abb2-8024f651be2a · outbound

This paper cites Point transformer v3: Simpler faster stronger,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Point transformer v3: Simpler faster stronger,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:42:56.800464Z

Source-reported events for the cited work

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Observation 03706ab3-5437-4711-ac0a-f06f6aca02a4 · outbound

This paper cites Decomposed vector-quantized vari- ational autoencoder for human grasp generation,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Decomposed vector-quantized vari- ational autoencoder for human grasp generation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.367348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 111d3de9-a8c4-4c1c-bd0e-78b85944edc4 · outbound

This paper cites Auto-Encoding Variational Bayes.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Auto-Encoding Variational Bayes

Reference 25

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Source-reported events for the cited work

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Observation e487cb83-2d5f-4706-933f-b4fab1f0e47c · outbound

This paper cites Learning structured output repre- sentation using deep conditional generative models,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Learning structured output repre- sentation using deep conditional generative models,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.355688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4118430d-6d75-4bb1-af51-97c03633e0a9 · outbound

This paper cites Graspxl: Generating grasping motions for diverse objects at scale,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Graspxl: Generating grasping motions for diverse objects at scale,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.344957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 61c52d7f-c2b0-4f18-85f4-340173fa0ea0 · outbound

This paper cites Single-view scene point cloud human grasp generation,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Single-view scene point cloud human grasp generation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.332096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bc98fa2f-a2eb-4ace-bbe9-7978bcb50ea0 · outbound

This paper cites Autosdf: Shape priors for 3d completion, reconstruction and generation,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Autosdf: Shape priors for 3d completion, reconstruction and generation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.321163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b15f821e-61af-4902-8746-fa010577abd7 · outbound

This paper cites Hierarchical gen- eration of human-object interactions with diffusion probabilistic models,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Hierarchical gen- eration of human-object interactions with diffusion probabilistic models,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.310395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 82599674-89ff-44a7-b365-2e85300d6025 · outbound

This paper cites Contactpose: A dataset of grasps with object contact and hand pose,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Contactpose: A dataset of grasps with object contact and hand pose,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.297471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a267bb83-cb65-4bc2-b2a2-557596bc8f43 · outbound

This paper cites Contactopt: Optimizing contact to improve grasps,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Contactopt: Optimizing contact to improve grasps,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.283142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 81e60d67-a044-4548-b179-85a93bc3637e · outbound

This paper cites Capturing hands in action using discriminative salient points and physics simulation,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Capturing hands in action using discriminative salient points and physics simulation,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.271931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 42e71fcf-8353-410d-8c3c-79cdff10e9a8 · outbound

This paper cites Interactive prototype learning for egocentric action recognition,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Interactive prototype learning for egocentric action recognition,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.260477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fca8a4a0-ce33-43d5-8ff3-2b34ce9087ce · outbound

This paper cites Learning a contact potential field for modeling the hand-object interaction,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Learning a contact potential field for modeling the hand-object interaction,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.249194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation decf1eec-2321-4bbc-929d-1b85cc6830dc · outbound

This paper cites Evhandpose: Event- based 3d hand pose estimation with sparse supervision,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Evhandpose: Event- based 3d hand pose estimation with sparse supervision,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.234899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7568ca11-085f-40b7-a1b1-40ef648049ea · outbound

This paper cites Human-centric transformer for domain adaptive action recognition,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Human-centric transformer for domain adaptive action recognition,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.219502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a3591a42-788a-400a-9d95-a05502455d8d · outbound

This paper cites Interactionfusion: real- time reconstruction of hand poses and deformable objects in hand- object interactions,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Interactionfusion: real- time reconstruction of hand poses and deformable objects in hand- object interactions,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.200752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fd98fa9a-548d-406e-bf4b-48aa2fb7a8f6 · outbound

This paper cites Embedded deformation for shape manipulation,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Embedded deformation for shape manipulation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.187045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9b7fe835-cbbc-4c76-9fee-857815ce84f1 · outbound

This paper cites Meshmae: Masked autoencoders for 3d mesh data analysis,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Meshmae: Masked autoencoders for 3d mesh data analysis,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.175620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3e770070-765d-4eb1-9a4b-52a8fd085ac4 · outbound

This paper cites Mesh u-nets for 3d cardiac deformation modeling,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Mesh u-nets for 3d cardiac deformation modeling,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.164643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 90e79428-b19b-4949-9221-fe743743f747 · outbound

This paper cites Conditional image generation with pixelcnn decoders,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Conditional image generation with pixelcnn decoders,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.154009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 91083fd3-6685-4b10-a8c0-53ee6ed10bff · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE U-net: Convolutional networks for biomedical image segmentation,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.142649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5a0160da-431e-4aa8-92bb-b18b83a10065 · outbound

This paper cites Efficient memory-based learning for robot control,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Efficient memory-based learning for robot control,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.131921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 902fdda4-0781-402d-a7b7-85badb4267ce · outbound

This paper cites Curve and surface smoothing without shrinkage,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Curve and surface smoothing without shrinkage,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.120391Z

Source-reported events for the cited work

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Observation de38f825-03a5-45eb-ad8f-e932fcc3dfb2 · outbound

This paper cites Laplacian mesh optimization,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Laplacian mesh optimization,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.108413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3d37db53-14ab-4574-a602-a1cd5076121a · outbound

This paper cites Accelerating 3D Deep Learning with PyTorch3D.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Accelerating 3D Deep Learning with PyTorch3D

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T21:42:56.882945Z

Source-reported events for the cited work

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Observation f2b950d8-5efa-4787-9f7a-83065e660ccb · outbound

This paper cites Graspit! a versatile simulator for robotic grasping,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Graspit! a versatile simulator for robotic grasping,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.094605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eca33ea7-65d2-45b2-a819-98bcd319568f · outbound

This paper cites Honnotate: A method for 3d annotation of hand and object poses,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Honnotate: A method for 3d annotation of hand and object poses,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T21:42:56.896783Z

Source-reported events for the cited work

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Observation 33396283-7d96-40b4-9897-1f5453125b1f · outbound

This paper cites First-person hand action benchmark with rgb-d videos and 3d hand pose annotations,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE First-person hand action benchmark with rgb-d videos and 3d hand pose annotations,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.074937Z

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Observation 850e2fec-541b-484d-9a0a-4a28b75d387a · outbound

This paper cites Adaptive Weight Learning for Multiple Outcome Optimization With Continuous Treatment.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Adaptive Weight Learning for Multiple Outcome Optimization With Continuous Treatment

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:42:56.966440Z

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Observation 88f56d4c-0289-441c-abdc-7b3269cd823b · outbound

This paper cites Reconstruct- ing hand-object interactions in the wild,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Reconstruct- ing hand-object interactions in the wild,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.062707Z

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Observation 254fdb1a-b682-4e24-b2c7-16a52739f18a · outbound

This paper cites Diffusion-guided reconstruction of everyday hand-object interaction clips,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Diffusion-guided reconstruction of everyday hand-object interaction clips,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.051051Z

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Observation 3e8276c2-7ec9-4c08-9c1c-1a75845871fe · outbound

This paper cites Implicit fairing of irregular meshes using diffusion and curvature flow,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Implicit fairing of irregular meshes using diffusion and curvature flow,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.039495Z

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Observation 41735f67-4a9d-4035-b79a-23f1236a6842 · outbound

This paper cites Generating diverse high-fidelity images with vq-vae-2,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Generating diverse high-fidelity images with vq-vae-2,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.027595Z

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Observation 7ce77568-c321-43bf-bc1a-2f0489c920db · outbound

This paper cites Deeper insights into graph convo- lutional networks for semi-supervised learning,.

Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE Deeper insights into graph convo- lutional networks for semi-supervised learning,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:42:57.014644Z

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Pith citing papers

Observation 499ff0ca-4d8e-4401-83b1-178d8fc8c940 · inbound

Listen to Rhythm, Choose Movements: Autoregressive Multimodal Dance Generation via Diffusion and Mamba with Decoupled Dance Dataset cites this paper.

Listen to Rhythm, Choose Movements: Autoregressive Multimodal Dance Generation via Diffusion and Mamba with Decoupled Dance Dataset Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-16T16:41:06.314193Z

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Observation 067f0beb-1c0b-4325-93aa-3662d203ad6a · inbound

PhysHanDI: Physics-Based Reconstruction of Hand-Deformable Object Interactions cites this paper.

PhysHanDI: Physics-Based Reconstruction of Hand-Deformable Object Interactions Human Grasp Generation for Rigid and Deformable Objects with Decomposed VQ-VAE

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:41:43.669121Z

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