Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T19:05:29.213431Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T19:05:29.213431Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
74 of 74 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation eededfeb-e226-42de-8489-d8d3a97ef271 · outbound
Improving Human Motion Plausibility with Body Momentum Unresolved cited work
Reference 1
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Observation 858a0649-ef16-4f2c-ad85-44261398f917 · outbound
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
Improving Human Motion Plausibility with Body Momentum Kender, and Zicheng Liu
Reference 3
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Observation 637bec9c-3b31-4b1d-b4a9-a16377256c54 · outbound
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
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
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
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
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
Improving Human Motion Plausibility with Body Momentum Unresolved cited work
Reference 9
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Observation 97945e37-4d9f-486e-b3a1-1dc245736557 · outbound
Improving Human Motion Plausibility with Body Momentum Geman and S
Reference 10
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Observation 0684b89b-7fc8-457b-9f3c-e6d049254180 · outbound
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
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
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
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
Improving Human Motion Plausibility with Body Momentum MoGlow.ACM Transac- tions on Graphics (TOG), 39:1 – 14, 2019
Reference 15
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Unavailable: canonical work link unavailable.
Observation e6d82ef5-e6a1-4d2a-ac93-3dfbfaa3f9a8 · outbound
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
Improving Human Motion Plausibility with Body Momentum Unresolved cited work
Reference 17
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Observation 3e5eb930-8811-4fee-9559-44ef09113a32 · outbound
Improving Human Motion Plausibility with Body Momentum Unresolved cited work
Reference 18
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Observation aedc88d3-9850-4fcf-a829-711092e48352 · outbound
Improving Human Motion Plausibility with Body Momentum Unresolved cited work
Reference 19
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Observation 8fcda325-1828-4113-bdb9-0ab7d138d7f7 · outbound
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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Unavailable: canonical work link unavailable.
Observation b096a423-6827-4ad1-b659-3748f56e4e70 · outbound
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
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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Unavailable: canonical work link unavailable.
Observation dbdb58f7-9257-49eb-8c5a-8a517bd1c185 · outbound
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
Improving Human Motion Plausibility with Body Momentum Unresolved cited work
Reference 24
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Observation 460d7e89-6bc8-4380-bd93-2b1c955f34cd · outbound
Improving Human Motion Plausibility with Body Momentum Black, Otmar Hilliges, Jan Kautz, and Umar Iqbal
Reference 25
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Unavailable: canonical work link unavailable.
Observation 9f5aa0c7-ff13-40df-a9c1-e25c05bf294a · outbound
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
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
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
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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Unavailable: canonical work link unavailable.
Observation 02b8f3ad-3d1e-4377-9b0f-3958d6f75411 · outbound
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
Improving Human Motion Plausibility with Body Momentum Unresolved cited work
Reference 31
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Unavailable: canonical work link unavailable.
Observation 067bbf27-8fc2-4021-9d9c-d7d44dcb55bf · outbound
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
Improving Human Motion Plausibility with Body Momentum Zordan, and Christian R
Reference 33
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Observation d51b2c4d-024d-4484-9cda-057fec2737b3 · outbound
Improving Human Motion Plausibility with Body Momentum Troje, Gerard Pons-Moll, and Michael J
Reference 34
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Unavailable: canonical work link unavailable.
Observation 70a1e3f9-476a-436d-b7ad-7d8003ab13ca · outbound
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
Improving Human Motion Plausibility with Body Momentum Pose Trans- formers (POTR): Human Motion Prediction with Non-Autoregressive Transformers
Reference 36
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Observation 22d72761-ef90-4513-8021-2c001418fb42 · outbound
Improving Human Motion Plausibility with Body Momentum Fua, Oleksandr Sotnychenko, Weipeng Xu, and Christian Theobalt
Reference 37
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Observation ccc2281d-40a8-42f6-be70-02a818449834 · outbound
Improving Human Motion Plausibility with Body Momentum A review of 3D human body pose estimation and mesh recovery.Digit
Reference 38
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Observation 6a95f9d9-2b1f-4f88-a39f-3dbb34870380 · outbound
Improving Human Motion Plausibility with Body Momentum Regulation of whole-body angular momentum during human walking.Scientific Reports, 13, 2023
Reference 39
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Observation e50dc123-4928-496d-a73e-27ad1dc8351b · outbound
Improving Human Motion Plausibility with Body Momentum Black, and Gül Varol
Reference 40
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Observation d376edbd-98c1-4f42-94cc-f41d266c239b · outbound
Improving Human Motion Plausibility with Body Momentum Black, and Gül Varol
Reference 41
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Observation d6d9585e-337c-4c7e-aad0-d06081f5bbe9 · outbound
Improving Human Motion Plausibility with Body Momentum The KIT Motion-Language Dataset.Big Data, 4(4):236–252, dec 2016
Reference 42
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Observation db1d371f-369f-4556-995e-45218c42095e · outbound
Improving Human Motion Plausibility with Body Momentum Popovic, Andreas G
Reference 43
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Observation 1984dcfe-48ba-44a3-a88f-3a7ddeb98187 · outbound
Improving Human Motion Plausibility with Body Momentum Reisman, John P
Reference 44
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Observation 2b1433b6-b015-448b-a25c-513e89bd7dba · outbound
Improving Human Motion Plausibility with Body Momentum Guibas, Aaron Hertzmann, Bryan C
Reference 45
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Observation f28a9469-e495-4c2c-a2a2-aa5d94c2ecf6 · outbound
Improving Human Motion Plausibility with Body Momentum Unresolved cited work
Reference 46
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Observation d0a27bb3-2dc9-43fb-b3e5-09b4b9503ffe · outbound
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
Reference 47
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Observation b544b043-e1e9-47b1-aca7-4b9fc0f4b5c5 · outbound
Improving Human Motion Plausibility with Body Momentum Unresolved cited work
Reference 48
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Observation 101baad5-d9a2-4500-ae99-87292d2ffcde · outbound
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
Reference 49
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Observation 3b1725a0-36e6-49fa-8f2f-f4d139da3116 · outbound
Improving Human Motion Plausibility with Body Momentum Unresolved cited work
Reference 50
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Observation 39643030-5238-4c75-8f91-e424e6f0e295 · outbound
Improving Human Motion Plausibility with Body Momentum The Discrete Cosine Transform.SIAM Rev., 41:135–147, 1999
Reference 51
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Observation fb06e9b3-0dcb-404b-b876-f296772a11ad · outbound
Improving Human Motion Plausibility with Body Momentum Unresolved cited work
Reference 52
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Observation f31a3590-ef83-40e5-9583-b27097202f80 · outbound
Improving Human Motion Plausibility with Body Momentum Human Motion Diffusion Model
Reference 53
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Observation 8da0412b-a895-4417-85ab-d63e89bba3a1 · outbound
Improving Human Motion Plausibility with Body Momentum Black, and Dimitrios Tzionas
Reference 54
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Observation 9ed4c996-e5c8-45d5-a716-dae673a8c73e · outbound
Improving Human Motion Plausibility with Body Momentum Black, Daniel Holden, and Carsten Stoll
Reference 55
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Observation 0d023255-5b2f-4dc5-b2aa-30f2f8d1b0f6 · outbound
Improving Human Motion Plausibility with Body Momentum van Dieën, Sjoerd M
Reference 56
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Observation a0ad8979-295b-4cc3-be8c-81a7744f32bd · outbound
Improving Human Motion Plausibility with Body Momentum Black, Bodo Rosenhahn, and Gerard Pons-Moll
Reference 57
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Observation e249d87f-0d9c-423a-b53e-5960d112b07e · outbound
Improving Human Motion Plausibility with Body Momentum Zero-Moment Point - Thirty Five Years of its Life.Int
Reference 58
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Observation 97710064-3ccf-4cc6-97f9-83018950b887 · outbound
Improving Human Motion Plausibility with Body Momentum TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos
Reference 59
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Observation 041ddfb8-3ce4-4dd9-874e-18523baa6ab1 · outbound
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
Reference 60
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Observation fe81f7ed-bf77-4489-999e-39ea53a928fa · outbound
Improving Human Motion Plausibility with Body Momentum Winkler, C
Reference 61
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Observation 21970b60-60a3-452a-bbb7-acf24d648c52 · outbound
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
Reference 62
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Observation 012065eb-3a5d-4060-9ea4-a511974d90c9 · outbound
Improving Human Motion Plausibility with Body Momentum Tan, Yuhong Tan, Siheng Chen, Yu Wang, Xinchao Wang, and Yanfeng Wang
Reference 63
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Observation 0d847ba8-a8aa-4748-8f8a-6e498306ef60 · outbound
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
Reference 64
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Observation 6d985f46-0a31-442d-9d6a-e620f314fc59 · outbound
Improving Human Motion Plausibility with Body Momentum Residual Force Control for Agile Human Behavior Imitation and Extended Motion Synthesis
Reference 65
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Observation d2368d21-0350-4270-9c97-1f23b000c072 · outbound
Improving Human Motion Plausibility with Body Momentum Unresolved cited work
Reference 66
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Observation 72735a35-2e04-471e-b8d2-9c022ecee78a · outbound
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
Reference 67
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Observation e82d4351-b827-4298-88a8-bf6fab8ae606 · outbound
Improving Human Motion Plausibility with Body Momentum Unresolved cited work
Reference 68
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Observation e1e9789b-ba9f-427f-acbc-a7ec6a97570d · outbound
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
Reference 69
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Observation c2cbffd4-3211-420d-b5c0-22cd65fbbe56 · outbound
Improving Human Motion Plausibility with Body Momentum T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations
Reference 70
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Observation a9259222-e4a2-435d-9fad-18ceeec84b91 · outbound
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
Reference 71
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Observation 49e3c06c-66f6-474a-961b-f30367918d19 · outbound
Improving Human Motion Plausibility with Body Momentum Kephart, Zijun Cui, and Qiang Ji
Reference 72
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Observation ac7a8e91-4110-4f63-8090-3beb5e19c663 · outbound
Improving Human Motion Plausibility with Body Momentum Kephart, and Qiang Ji
Reference 73
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Observation f268794d-52c6-4962-8b06-bf8cbc4f2507 · outbound
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
Reference 74
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No inbound Pith citation observations are available.