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Paper Citation Record · LEDGER

Improving Human Motion Plausibility with Body Momentum

As of 13 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2509.09496.

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

pith.paper-citation-record.v1
2509.09496 v1

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measured 74 of 74 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T19:05:29.213431Z

measured 74 of 74 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

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74 of 74 outbound references displayed

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Outbound references

Observation eededfeb-e226-42de-8489-d8d3a97ef271 · outbound

This paper cites an unresolved cited work.

Improving Human Motion Plausibility with Body Momentum Unresolved cited work

Reference 1

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Observation 858a0649-ef16-4f2c-ad85-44261398f917 · outbound

This paper cites PoseBERT: A Generic Transformer Module for Tem- poral 3D Human Modeling.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45:12798–12815, 2022.

Improving Human Motion Plausibility with Body Momentum PoseBERT: A Generic Transformer Module for Tem- poral 3D Human Modeling.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45:12798–12815, 2022

Reference 2

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Observation 96dd26a0-c343-41e2-bca1-c5b644d61755 · outbound

This paper cites Kender, and Zicheng Liu.

Improving Human Motion Plausibility with Body Momentum Kender, and Zicheng Liu

Reference 3

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Observation 637bec9c-3b31-4b1d-b4a9-a16377256c54 · outbound

This paper cites Boehm, Kieran M Nichols, and Kreg G.

Improving Human Motion Plausibility with Body Momentum Boehm, Kieran M Nichols, and Kreg G

Reference 4

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Observation 6a915a72-0b95-4438-8d41-9e99e7246d79 · outbound

This paper cites Executing your Commands via Motion Diffusion in Latent Space.2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 18000–18010, 2022.

Improving Human Motion Plausibility with Body Momentum Executing your Commands via Motion Diffusion in Latent Space.2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 18000–18010, 2022

Reference 5

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Observation 0e786cbc-3d31-4a1c-b0ab-f5710196413f · outbound

This paper cites Huber, Dagmar Sternad, and Martin A.

Improving Human Motion Plausibility with Body Momentum Huber, Dagmar Sternad, and Martin A

Reference 6

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Observation 2a6399e6-b750-4eb7-90b5-29ebedfd3213 · outbound

This paper cites Efficient Human Motion Reconstruction from Monocular Videos with Physical Consistency Loss.SIGGRAPH Asia 2023 Conference Papers, 2023.

Improving Human Motion Plausibility with Body Momentum Efficient Human Motion Reconstruction from Monocular Videos with Physical Consistency Loss.SIGGRAPH Asia 2023 Conference Papers, 2023

Reference 7

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Observation f2dcf27c-105c-4f72-b3eb-776665baa979 · outbound

This paper cites Differ- entiable Dynamics for Articulated 3d Human Motion Reconstruction.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 13180–13190, 2022.

Improving Human Motion Plausibility with Body Momentum Differ- entiable Dynamics for Articulated 3d Human Motion Reconstruction.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 13180–13190, 2022

Reference 8

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Observation e6f7da3b-9952-47d7-82b6-7fb52bb56965 · outbound

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Improving Human Motion Plausibility with Body Momentum Unresolved cited work

Reference 9

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Observation 97945e37-4d9f-486e-b3a1-1dc245736557 · outbound

This paper cites Geman and S.

Improving Human Motion Plausibility with Body Momentum Geman and S

Reference 10

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Observation 0684b89b-7fc8-457b-9f3c-e6d049254180 · outbound

This paper cites Humans in 4D: Reconstructing and Tracking Humans with Transformers.

Improving Human Motion Plausibility with Body Momentum Humans in 4D: Reconstructing and Tracking Humans with Transformers

Reference 11

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Observation 35ff9ad2-6b07-41c1-90d9-4e7964f7f087 · outbound

This paper cites Generating Diverse and Natural 3D Human Motions from Text.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 5142–5151, 2022.

Improving Human Motion Plausibility with Body Momentum Generating Diverse and Natural 3D Human Motions from Text.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 5142–5151, 2022

Reference 12

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Observation 7c5faa96-8634-4f99-9367-bd523e0bb0cd · outbound

This paper cites NeMF: Neural Motion Fields for Kinematic Animation.

Improving Human Motion Plausibility with Body Momentum NeMF: Neural Motion Fields for Kinematic Animation

Reference 13

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Observation d63dc355-2d3c-4808-88c7-271d038dcd8a · outbound

This paper cites BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking.

Improving Human Motion Plausibility with Body Momentum BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking

Reference 14

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Observation 0f19f064-e67a-4ed9-9de9-04aeac6b9c51 · outbound

This paper cites MoGlow.ACM Transac- tions on Graphics (TOG), 39:1 – 14, 2019.

Improving Human Motion Plausibility with Body Momentum MoGlow.ACM Transac- tions on Graphics (TOG), 39:1 – 14, 2019

Reference 15

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Observation e6d82ef5-e6a1-4d2a-ac93-3dfbfaa3f9a8 · outbound

This paper cites Angular momentum in human walking.Journal of Experimental Biology, 211:467 – 481, 2008.

Improving Human Motion Plausibility with Body Momentum Angular momentum in human walking.Journal of Experimental Biology, 211:467 – 481, 2008

Reference 16

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Observation f124b4e3-6ed7-4001-ab42-76ab50feaff3 · outbound

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Improving Human Motion Plausibility with Body Momentum Unresolved cited work

Reference 17

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Observation 3e5eb930-8811-4fee-9559-44ef09113a32 · outbound

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Improving Human Motion Plausibility with Body Momentum Unresolved cited work

Reference 18

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Observation aedc88d3-9850-4fcf-a829-711092e48352 · outbound

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Improving Human Motion Plausibility with Body Momentum Unresolved cited work

Reference 19

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Observation 8fcda325-1828-4113-bdb9-0ab7d138d7f7 · outbound

This paper cites Computing the Moment of Inertia of a Solid Defined by a Triangle Mesh.Journal of Graphics Tools, 11:51 – 57, 2006.

Improving Human Motion Plausibility with Body Momentum Computing the Moment of Inertia of a Solid Defined by a Triangle Mesh.Journal of Graphics Tools, 11:51 – 57, 2006

Reference 20

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Observation b096a423-6827-4ad1-b659-3748f56e4e70 · outbound

This paper cites Zhang, Panna Felsen, and Jitendra Malik.

Improving Human Motion Plausibility with Body Momentum Zhang, Panna Felsen, and Jitendra Malik

Reference 21

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Observation 4af53586-b51a-4595-822e-7b6656493cea · outbound

This paper cites Optimizing Diffusion Noise Can Serve As Universal Motion Priors.2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 1334–1345, 2023.

Improving Human Motion Plausibility with Body Momentum Optimizing Diffusion Noise Can Serve As Universal Motion Priors.2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 1334–1345, 2023

Reference 22

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Observation dbdb58f7-9257-49eb-8c5a-8a517bd1c185 · outbound

This paper cites EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 14586–14597, 2023.

Improving Human Motion Plausibility with Body Momentum EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 14586–14597, 2023

Reference 23

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Observation 57eaee6f-3822-46b8-b117-3183420a416d · outbound

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Improving Human Motion Plausibility with Body Momentum Unresolved cited work

Reference 24

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Observation 460d7e89-6bc8-4380-bd93-2b1c955f34cd · outbound

This paper cites Black, Otmar Hilliges, Jan Kautz, and Umar Iqbal.

Improving Human Motion Plausibility with Body Momentum Black, Otmar Hilliges, Jan Kautz, and Umar Iqbal

Reference 25

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Observation 9f5aa0c7-ff13-40df-a9c1-e25c05bf294a · outbound

This paper cites Fast and flexible multi- legged locomotion using learned centroidal dynamics.ACM Transactions on Graphics (TOG), 39:46:1 – 46:17, 2020.

Improving Human Motion Plausibility with Body Momentum Fast and flexible multi- legged locomotion using learned centroidal dynamics.ACM Transactions on Graphics (TOG), 39:46:1 – 46:17, 2020

Reference 26

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Observation 09adbc3c-1e77-446b-b4bc-13c20b5d3ebf · outbound

This paper cites Task-Generic Hierarchical Human Motion Prior using V AEs.2021 International Conference on 3D Vision (3DV), pages 771–781, 2021.

Improving Human Motion Plausibility with Body Momentum Task-Generic Hierarchical Human Motion Prior using V AEs.2021 International Conference on 3D Vision (3DV), pages 771–781, 2021

Reference 27

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Observation d6ca9b78-f72f-4f56-b028-502bfb5a9cba · outbound

This paper cites D&D: Learning Human Dynamics from Dynamic Camera.

Improving Human Motion Plausibility with Body Momentum D&D: Learning Human Dynamics from Dynamic Camera

Reference 28

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Observation bbd924b8-3df4-422a-b378-0932a0fc25c1 · outbound

This paper cites CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation.

Improving Human Motion Plausibility with Body Momentum CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation

Reference 29

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Observation 02b8f3ad-3d1e-4377-9b0f-3958d6f75411 · outbound

This paper cites Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset.

Improving Human Motion Plausibility with Body Momentum Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset

Reference 30

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Observation 7898394d-6e32-4015-8c0e-1dced9726eb6 · outbound

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Improving Human Motion Plausibility with Body Momentum Unresolved cited work

Reference 31

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Observation 067bbf27-8fc2-4021-9d9c-d7d44dcb55bf · outbound

This paper cites GraMMaR: Ground- aware Motion Model for 3D Human Motion Reconstruction.Proceedings of the 31st ACM International Conference on Multimedia, 2023.

Improving Human Motion Plausibility with Body Momentum GraMMaR: Ground- aware Motion Model for 3D Human Motion Reconstruction.Proceedings of the 31st ACM International Conference on Multimedia, 2023

Reference 32

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Observation 6e3fafeb-b76c-478f-a284-e79aa3d51aa8 · outbound

This paper cites Zordan, and Christian R.

Improving Human Motion Plausibility with Body Momentum Zordan, and Christian R

Reference 33

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Observation d51b2c4d-024d-4484-9cda-057fec2737b3 · outbound

This paper cites Troje, Gerard Pons-Moll, and Michael J.

Improving Human Motion Plausibility with Body Momentum Troje, Gerard Pons-Moll, and Michael J

Reference 34

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Observation 70a1e3f9-476a-436d-b7ad-7d8003ab13ca · outbound

This paper cites On the coordina- tion of highly dynamic human movements: an extension of the uncontrolled manifold approach applied to precision jump in parkour.Scientific Reports, 8, 2018.

Improving Human Motion Plausibility with Body Momentum On the coordina- tion of highly dynamic human movements: an extension of the uncontrolled manifold approach applied to precision jump in parkour.Scientific Reports, 8, 2018

Reference 35

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Observation 9df6722c-8efa-44bb-b4b3-a573f65b1322 · outbound

This paper cites Pose Trans- formers (POTR): Human Motion Prediction with Non-Autoregressive Transformers.

Improving Human Motion Plausibility with Body Momentum Pose Trans- formers (POTR): Human Motion Prediction with Non-Autoregressive Transformers

Reference 36

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source=pdf_text observed=2026-08-04T19:05:29.109956Z digest=sha256:4103289676752927099c3acd12e92b54e5c0d3d788ed408b29a79969b35b1b66

Observation 22d72761-ef90-4513-8021-2c001418fb42 · outbound

This paper cites Fua, Oleksandr Sotnychenko, Weipeng Xu, and Christian Theobalt.

Improving Human Motion Plausibility with Body Momentum Fua, Oleksandr Sotnychenko, Weipeng Xu, and Christian Theobalt

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Observation ccc2281d-40a8-42f6-be70-02a818449834 · outbound

This paper cites A review of 3D human body pose estimation and mesh recovery.Digit.

Improving Human Motion Plausibility with Body Momentum A review of 3D human body pose estimation and mesh recovery.Digit

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source=pdf_text observed=2026-08-04T19:05:29.115777Z digest=sha256:53c7cfef984bfeec2f6f89635f33f3860279bfc98a58d9f9e0ecebe0b56e2f5f

Observation 6a95f9d9-2b1f-4f88-a39f-3dbb34870380 · outbound

This paper cites Regulation of whole-body angular momentum during human walking.Scientific Reports, 13, 2023.

Improving Human Motion Plausibility with Body Momentum Regulation of whole-body angular momentum during human walking.Scientific Reports, 13, 2023

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source=pdf_text observed=2026-08-04T19:05:29.118482Z digest=sha256:00880a32823146925529753ca77b9ea4b9a9da3f02ee1d4b6605eb93a0d5f8e7

Observation e50dc123-4928-496d-a73e-27ad1dc8351b · outbound

This paper cites Black, and Gül Varol.

Improving Human Motion Plausibility with Body Momentum Black, and Gül Varol

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source=pdf_text observed=2026-08-04T19:05:29.120958Z digest=sha256:a5f2c7d7c2139072aebcdd343607a9fb5f7f9bb5e2d97edc8f985eb00cfa9f52

Observation d376edbd-98c1-4f42-94cc-f41d266c239b · outbound

This paper cites Black, and Gül Varol.

Improving Human Motion Plausibility with Body Momentum Black, and Gül Varol

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source=pdf_text observed=2026-08-04T19:05:29.123823Z digest=sha256:30e6fabc604eb5558f51e48ce1eb7f684f4732e6b458b63328ba9d8e320ca54b

Observation d6d9585e-337c-4c7e-aad0-d06081f5bbe9 · outbound

This paper cites The KIT Motion-Language Dataset.Big Data, 4(4):236–252, dec 2016.

Improving Human Motion Plausibility with Body Momentum The KIT Motion-Language Dataset.Big Data, 4(4):236–252, dec 2016

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source=pdf_text observed=2026-08-04T19:05:29.126464Z digest=sha256:c0446e90190f4b2ada27cf6e88abb7db438fac2e6ecdcf4b134e1610f9623267

Observation db1d371f-369f-4556-995e-45218c42095e · outbound

This paper cites Popovic, Andreas G.

Improving Human Motion Plausibility with Body Momentum Popovic, Andreas G

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source=pdf_text observed=2026-08-04T19:05:29.129197Z digest=sha256:93aeee1be52307cb1ce0ca71600fe562a848ebf29e0fc8d0805150126bef57e4

Observation 1984dcfe-48ba-44a3-a88f-3a7ddeb98187 · outbound

This paper cites Reisman, John P.

Improving Human Motion Plausibility with Body Momentum Reisman, John P

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source=pdf_text observed=2026-08-04T19:05:29.131587Z digest=sha256:d68e62090ad302d1e43f6775add43d3ad4f2a780929330e8d12f178cdfe24b1c

Observation 2b1433b6-b015-448b-a25c-513e89bd7dba · outbound

This paper cites Guibas, Aaron Hertzmann, Bryan C.

Improving Human Motion Plausibility with Body Momentum Guibas, Aaron Hertzmann, Bryan C

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source=pdf_text observed=2026-08-04T19:05:29.134577Z digest=sha256:d95a333e6e42a30cdeadc0011290caabf0ba1f3895ba3d0588a76906391e091c

Observation f28a9469-e495-4c2c-a2a2-aa5d94c2ecf6 · outbound

This paper cites an unresolved cited work.

Improving Human Motion Plausibility with Body Momentum Unresolved cited work

Reference 46

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source=pdf_text observed=2026-08-04T19:05:29.137429Z digest=sha256:b5e2327037f321ee665339795fdf5f642ff67cf2fd20f604c445f55a82595856

Observation d0a27bb3-2dc9-43fb-b3e5-09b4b9503ffe · outbound

This paper cites Human Motion Prediction via Spatio-Temporal Inpainting.2019 IEEE/CVF International Conference on Computer Vision (ICCV), pages 7133–7142, 2018.

Improving Human Motion Plausibility with Body Momentum Human Motion Prediction via Spatio-Temporal Inpainting.2019 IEEE/CVF International Conference on Computer Vision (ICCV), pages 7133–7142, 2018

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source=pdf_text observed=2026-08-04T19:05:29.140147Z digest=sha256:97b8c46ca721f073862095a840e155423b2bc6f50990b3491e854d34b99bd095

Observation b544b043-e1e9-47b1-aca7-4b9fc0f4b5c5 · outbound

This paper cites an unresolved cited work.

Improving Human Motion Plausibility with Body Momentum Unresolved cited work

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source=pdf_text observed=2026-08-04T19:05:29.142818Z digest=sha256:dbe6825c149ee5bd46e4fb6b92b05f4446e0eb8712da054d82573c6b03a66e62

Observation 101baad5-d9a2-4500-ae99-87292d2ffcde · outbound

This paper cites Neural monocular 3D human motion capture with physical awareness.ACM Transac- tions on Graphics (TOG), 40:1 – 15, 2021.

Improving Human Motion Plausibility with Body Momentum Neural monocular 3D human motion capture with physical awareness.ACM Transac- tions on Graphics (TOG), 40:1 – 15, 2021

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source=pdf_text observed=2026-08-04T19:05:29.145515Z digest=sha256:9920c4c1527ffeea56a8b3c037e63b87a9ff33ad114412b9e7a96108e84bab37

Observation 3b1725a0-36e6-49fa-8f2f-f4d139da3116 · outbound

This paper cites an unresolved cited work.

Improving Human Motion Plausibility with Body Momentum Unresolved cited work

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source=pdf_text observed=2026-08-04T19:05:29.148190Z digest=sha256:e97e2c10df60f459f45b52addf4a3da1c5aca73c81e21d33008c0aa9eee759af

Observation 39643030-5238-4c75-8f91-e424e6f0e295 · outbound

This paper cites The Discrete Cosine Transform.SIAM Rev., 41:135–147, 1999.

Improving Human Motion Plausibility with Body Momentum The Discrete Cosine Transform.SIAM Rev., 41:135–147, 1999

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source=pdf_text observed=2026-08-04T19:05:29.150935Z digest=sha256:2fc409bb3dd816c54354660d07ccac286ff68da1186c5de68816693f4def1ddf

Observation fb06e9b3-0dcb-404b-b876-f296772a11ad · outbound

This paper cites an unresolved cited work.

Improving Human Motion Plausibility with Body Momentum Unresolved cited work

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source=pdf_text observed=2026-08-04T19:05:29.153516Z digest=sha256:b0f2f5ed226f69bdcdf6a7eac89400ad057a1a27817d22a3544e3b716ace130b

Observation f31a3590-ef83-40e5-9583-b27097202f80 · outbound

This paper cites Human Motion Diffusion Model.

Improving Human Motion Plausibility with Body Momentum Human Motion Diffusion Model

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source=pdf_text observed=2026-08-04T19:05:29.156943Z digest=sha256:dcf47abfdaa60b9599dfe2074ae431ae0b4ebb305c6eedd413f42d50dce382ae

Observation 8da0412b-a895-4417-85ab-d63e89bba3a1 · outbound

This paper cites Black, and Dimitrios Tzionas.

Improving Human Motion Plausibility with Body Momentum Black, and Dimitrios Tzionas

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source=pdf_text observed=2026-08-04T19:05:29.160026Z digest=sha256:e78c8008685a3947d9ba6925a084afcf2c76b4bb0cdc80039090d9151880bd02

Observation 9ed4c996-e5c8-45d5-a716-dae673a8c73e · outbound

This paper cites Black, Daniel Holden, and Carsten Stoll.

Improving Human Motion Plausibility with Body Momentum Black, Daniel Holden, and Carsten Stoll

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source=pdf_text observed=2026-08-04T19:05:29.162765Z digest=sha256:0c9be663aad59eb232e1f4ed40aab196601d233f43d74c69cff1e6f6c397ec1d

Observation 0d023255-5b2f-4dc5-b2aa-30f2f8d1b0f6 · outbound

This paper cites van Dieën, Sjoerd M.

Improving Human Motion Plausibility with Body Momentum van Dieën, Sjoerd M

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source=pdf_text observed=2026-08-04T19:05:29.165381Z digest=sha256:2e74f455967d47967341357535b447108d8493f69e9e1f7a9681c91ccb0fa40f

Observation a0ad8979-295b-4cc3-be8c-81a7744f32bd · outbound

This paper cites Black, Bodo Rosenhahn, and Gerard Pons-Moll.

Improving Human Motion Plausibility with Body Momentum Black, Bodo Rosenhahn, and Gerard Pons-Moll

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source=pdf_text observed=2026-08-04T19:05:29.168024Z digest=sha256:2cbdad1b9a554cae936d4b8ef6889517b3c8d8609b4b39e45ac34fb49473f060

Observation e249d87f-0d9c-423a-b53e-5960d112b07e · outbound

This paper cites Zero-Moment Point - Thirty Five Years of its Life.Int.

Improving Human Motion Plausibility with Body Momentum Zero-Moment Point - Thirty Five Years of its Life.Int

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source=pdf_text observed=2026-08-04T19:05:29.170787Z digest=sha256:2e683b231095d0b5db79dfdb3b8720e6533c89c35ae2c31074ed69c8fb1e04e8

Observation 97710064-3ccf-4cc6-97f9-83018950b887 · outbound

This paper cites TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos.

Improving Human Motion Plausibility with Body Momentum TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos

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source=pdf_text observed=2026-08-04T19:05:29.173270Z digest=sha256:eb5536e5ebb658d8b5d3c5dde92a66de72b48a71c8a73eec0557155359ba113c

Observation 041ddfb8-3ce4-4dd9-874e-18523baa6ab1 · outbound

This paper cites Ong, Antoine Falisse, Shardul Sapkota, Aidan Chandra, Joshua Autton Carter, Ezio Preatoni, Benjamin Fregly, Jennifer Hicks, Scott L.

Improving Human Motion Plausibility with Body Momentum Ong, Antoine Falisse, Shardul Sapkota, Aidan Chandra, Joshua Autton Carter, Ezio Preatoni, Benjamin Fregly, Jennifer Hicks, Scott L

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source=pdf_text observed=2026-08-04T19:05:29.175847Z digest=sha256:acb6aedfdde9c490252c1619712a2adb7b9adfb7097b1e06ba0b62dce3142589

Observation fe81f7ed-bf77-4489-999e-39ea53a928fa · outbound

This paper cites Winkler, C.

Improving Human Motion Plausibility with Body Momentum Winkler, C

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source=pdf_text observed=2026-08-04T19:05:29.178739Z digest=sha256:8c53373da8d9590272652a715f9ccf6dcb4ab8a50fdf7fd02cec93d14d74ee32

Observation 21970b60-60a3-452a-bbb7-acf24d648c52 · outbound

This paper cites Physics-based Human Motion Estimation and Synthesis from Videos.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 11512–11521, 2021.

Improving Human Motion Plausibility with Body Momentum Physics-based Human Motion Estimation and Synthesis from Videos.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 11512–11521, 2021

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source=pdf_text observed=2026-08-04T19:05:29.181215Z digest=sha256:c638bc4cc3d0027969b0585c7df0d8cacc52106338480f79830ec3829db0bec2

Observation 012065eb-3a5d-4060-9ea4-a511974d90c9 · outbound

This paper cites Tan, Yuhong Tan, Siheng Chen, Yu Wang, Xinchao Wang, and Yanfeng Wang.

Improving Human Motion Plausibility with Body Momentum Tan, Yuhong Tan, Siheng Chen, Yu Wang, Xinchao Wang, and Yanfeng Wang

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source=pdf_text observed=2026-08-04T19:05:29.183862Z digest=sha256:c36ad801a0a8c85a8b8a5918846ca53b17ccfed62b14d941458863a27dfcbec6

Observation 0d847ba8-a8aa-4748-8f8a-6e498306ef60 · outbound

This paper cites Decoupling Human and Camera Motion from Videos in the Wild.2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 21222–21232, 2023.

Improving Human Motion Plausibility with Body Momentum Decoupling Human and Camera Motion from Videos in the Wild.2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 21222–21232, 2023

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source=pdf_text observed=2026-08-04T19:05:29.186549Z digest=sha256:b989da7b19c20e53d282b012ce52f1d68471363eab403b8615b94e92c8c875f7

Observation 6d985f46-0a31-442d-9d6a-e620f314fc59 · outbound

This paper cites Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis.

Improving Human Motion Plausibility with Body Momentum Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis

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source=pdf_text observed=2026-08-04T19:05:29.189124Z digest=sha256:802e3a3981fff2b59b997b079359a608c99c8e949fd7620aff522e1624e5e57b

Observation d2368d21-0350-4270-9c97-1f23b000c072 · outbound

This paper cites an unresolved cited work.

Improving Human Motion Plausibility with Body Momentum Unresolved cited work

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source=pdf_text observed=2026-08-04T19:05:29.191868Z digest=sha256:df49db7452a680d06fe0303929c3e5d33caa54b3a4ccdbe173df883b0daad433

Observation 72735a35-2e04-471e-b8d2-9c022ecee78a · outbound

This paper cites GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 11028–11039, 2021.

Improving Human Motion Plausibility with Body Momentum GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 11028–11039, 2021

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source=pdf_text observed=2026-08-04T19:05:29.194438Z digest=sha256:21601400fc89056b8285fa98e669bbe115799d640aebcdb92de5e778f839ba26

Observation e82d4351-b827-4298-88a8-bf6fab8ae606 · outbound

This paper cites an unresolved cited work.

Improving Human Motion Plausibility with Body Momentum Unresolved cited work

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source=pdf_text observed=2026-08-04T19:05:29.196973Z digest=sha256:7dd7b2e088163620c02bdfe1a236e8b7531c133c1f40823575af790f43affb40

Observation e1e9789b-ba9f-427f-acbc-a7ec6a97570d · outbound

This paper cites PhysDiff: Physics- Guided Human Motion Diffusion Model.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 15964–15975, 2022.

Improving Human Motion Plausibility with Body Momentum PhysDiff: Physics- Guided Human Motion Diffusion Model.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 15964–15975, 2022

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source=pdf_text observed=2026-08-04T19:05:29.199790Z digest=sha256:3cf4266c0ca66e28066fb303d6e5ab86653d219aa98f13d41e1422677bd6d34f

Observation c2cbffd4-3211-420d-b5c0-22cd65fbbe56 · outbound

This paper cites T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations.

Improving Human Motion Plausibility with Body Momentum T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations

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source=pdf_text observed=2026-08-04T19:05:29.202593Z digest=sha256:d2255f6ee6f9b51ad79c94e8fd9c539043ef6e85cfea5048c722181e6d1b0ccb

Observation a9259222-e4a2-435d-9fad-18ceeec84b91 · outbound

This paper cites Learning Motion Priors for 4D Human Body Capture in 3D Scenes.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 11323–11333, 2021.

Improving Human Motion Plausibility with Body Momentum Learning Motion Priors for 4D Human Body Capture in 3D Scenes.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 11323–11333, 2021

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source=pdf_text observed=2026-08-04T19:05:29.205362Z digest=sha256:92abbb4bf1cef7a432d210204829749ed21e4384a5caffd682ac60813c4b2e84

Observation 49e3c06c-66f6-474a-961b-f30367918d19 · outbound

This paper cites Kephart, Zijun Cui, and Qiang Ji.

Improving Human Motion Plausibility with Body Momentum Kephart, Zijun Cui, and Qiang Ji

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source=pdf_text observed=2026-08-04T19:05:29.207921Z digest=sha256:c814fba2c6e2919a702b403c6d7543b60bb8b4c3c006216c216ce02f45df450b

Observation ac7a8e91-4110-4f63-8090-3beb5e19c663 · outbound

This paper cites Kephart, and Qiang Ji.

Improving Human Motion Plausibility with Body Momentum Kephart, and Qiang Ji

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source=pdf_text observed=2026-08-04T19:05:29.210555Z digest=sha256:5cb932e5bd2ecd71f1075ba477730c6a2737927de45a688e91f04d684cae85f5

Observation f268794d-52c6-4962-8b06-bf8cbc4f2507 · outbound

This paper cites Additionally, we train TEMOS with a dynamics stability term recently proposed by HUMOS [55] to compare against TMo.

Improving Human Motion Plausibility with Body Momentum Additionally, we train TEMOS with a dynamics stability term recently proposed by HUMOS [55] to compare against TMo

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source=pdf_text observed=2026-08-04T19:05:29.213431Z digest=sha256:8842ac8d9861775f4b40f255ed0075f437eaa43a31c7d1a2d3d1335c8518d4c9

Pith citing papers

No inbound Pith citation observations are available.