2 papers
cs.GR2024
Learning Uniformly Distributed Embedding Clusters of Stylistic Skills for Physically Simulated Characters
Nian Liu, Libin Liu, Zilong Zhang +6
Learning natural and diverse behaviors from human motion datasets remains challenging in physics-based character control. Existing conditional adversarial models often suffer from…
math.PR2024
On the expected number of facets for the convex hull of samples
Feng Zhao, Xinyi Tong, Shao-Lun Huang
This paper studies the convex hull of -dimensional samples i.i.d. generated from spherically symmetric distributions. Specifically, we derive a complete integration formula for…