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…
cs.GR2023
MuscleVAE: Model-Based Controllers of Muscle-Actuated Characters
Yusen Feng, Xiyan Xu, Libin Liu
In this paper, we present a simulation and control framework for generating biomechanically plausible motion for muscle-actuated characters. We incorporate a fatigue dynamics model…