Morph: A Motion-free Physics Optimization Framework for Human Motion Generation

Understand

Human motion generation has been widely studied due to its crucial role in areas such as digital humans and humanoid robot control.

• However, many current motion generation approaches disregard physics constraints, frequently resulting in physically implausible motions with pronounced artifacts such as floating and foot sliding.
• Meanwhile, training an effective motion physics optimizer with noisy motion data remains largely unexplored.
• In this paper, we propose \textbf{Morph}, a \textbf{Mo}tion-F\textbf{r}ee \textbf{ph}ysics optimization framework, consisting of a Motion Generator and a Motion Physics Refinement module, for enhancing physical plausibility without relying on expensive real-world motion data.