Realistic Full-Body Tracking from Sparse Observations via Joint-Level Modeling-Reference-Cited by-同舟云学术

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Realistic Full-Body Tracking from Sparse Observations via Joint-Level Modeling

Published:2023-10-01 Issue: Volume:2 Page:14632-14642
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Zheng Xiaozheng¹,Su Zhuo¹,Wen Chao¹,Xue Zhou¹,Jin Xiaojie¹

Affiliation:

1. ByteDance Inc

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377019.pdf?arnumber=10377019

Reference46 articles.

1. Sfu motion capture database

2. CoolMoves

3. Pose-conditioned joint angle limits for 3D human pose reconstruction

4. A Spatio-temporal Transformer for 3D Human Motion Prediction

5. FLAG: Flow-based 3D Avatar Generation from Sparse Observations

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Physical Non-inertial Poser (PNP): Modeling Non-inertial Effects in Sparse-inertial Human Motion Capture;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

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