C·ASE: Learning Conditional Adversarial Skill Embeddings for Physics-based Characters

Author:

Dou Zhiyang1ORCID,Chen Xuelin2ORCID,Fan Qingnan2ORCID,Komura Taku1ORCID,Wang Wenping3ORCID

Affiliation:

1. University of Hong Kong, Hong Kong

2. Tencent AI Lab, China

3. Texas A&M University, United States of America

Publisher

ACM

Reference35 articles.

1. DReCon

2. CMU. 2002. CMU Graphics Lab Motion Capture Database. http://mocap.cs.cmu.edu/.

3. Bullet physics simulation

4. Taming Transformers for High-Resolution Image Synthesis

5. SuperTrack

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