A Locality-based Neural Solver for Optical Motion Capture-Reference-Cited by-同舟云学术

A Locality-based Neural Solver for Optical Motion Capture

Published:2023-12-10 Issue: Volume: Page:
ISSN:
Container-title:SIGGRAPH Asia 2023 Conference Papers
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Author:

Pan Xiaoyu¹^ORCID,Zheng Bowen¹^ORCID,Jiang Xinwei²^ORCID,Xu Guanglong²^ORCID,Gu Xianli²^ORCID,Li Jingxiang²^ORCID,Kou Qilong³^ORCID,Wang He⁴^ORCID,Shao Tianjia⁵^ORCID,Zhou Kun⁵^ORCID,Jin Xiaogang⁶^ORCID

Affiliation:

1. State Key Laboratory of CAD & CG, Zhejiang University; ZJU-Tencent Game and Intelligent Graphics Innovation Technology Joint Lab, China

2. Tencent Games Digital Content Technology Center, China

3. Tencent Technology (Shenzhen) Co., LTD, China

4. University College London (UCL), United Kingdom

5. State Key Laboratory of CAD & CG, Zhejiang University, China

6. State Key Lab of CAD&CG, Zhejiang University; ZJU-Tencent Game and Intelligent Graphics Innovation Technology Joint Lab, China

Funder

National Natural Science Foundation of China

Key R & D Program of Zhejiang

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3610548.3618148

Reference46 articles.

1. 2000. CMU Graphics Lab Motion Capture Database. http://mocap.cs.cmu.edu/

2. Skeleton-aware networks for deep motion retargeting

3. Andreas Aristidou Daniel Cohen-Or Jessica K Hodgins and Ariel Shamir. 2018. Self-similarity Analysis for Motion Capture Cleaning. In Computer graphics forum (CGF) Vol. 37. 297–309.

4. Real-time marker prediction and CoR estimation in optical motion capture

5. Jan Baumann, Björn Krüger, Arno Zinke, and Andreas Weber. 2011. Data-Driven Completion of Motion Capture Data. VRIPHYS 2011 - 8th Workshop on Virtual Reality Interactions and Physical Simulations, 111–118.