GraMMaR: Ground-aware Motion Model for 3D Human Motion Reconstruction
Author:
Affiliation:
1. The University of Sydney, Sydney, NSW, Australia
2. JD Explore Academy, Beijing, China
3. Max Planck Institute for Intelligent Systems, Tübingen, Germany
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3581783.3612276
Reference56 articles.
1. Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
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3. Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks
4. Polona Caserman , Augusto Garcia-Agundez , and Stefan Göbel . 2019. A survey of full-body motion reconstruction in immersive virtual reality applications . IEEE transactions on visualization and computer graphics, Vol. 26 , 10 ( 2019 ), 3089--3108. Polona Caserman, Augusto Garcia-Agundez, and Stefan Göbel. 2019. A survey of full-body motion reconstruction in immersive virtual reality applications. IEEE transactions on visualization and computer graphics, Vol. 26, 10 (2019), 3089--3108.
5. Choreomaster: choreography-oriented music-driven dance synthesis;Chen Kang;ACM Transactions on Graphics (TOG),2021
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