Sometimes DeepMimic isn't enough to track imperfect motion data robustly, e.g., clipping and ghost contacts between subject and objects.

In sirui-xu.github.io/InterMimic/ #CVPR2025, we present a method for learning from imperfect motion data, combining locomotion and object interaction.

Manually fixing broken multiplayer interaction animations is challenging. One of the main benefits of physics-based motion cleanup is that it is straightforward to extend to multiplayer—env code requires minimal modification, training code is unchanged, but training does take longer.

In character animation, animators often want to retain as much of the original motion as possible while fixing the motion artifacts, like sliding and clipping. Physics-based motion imitation systems like DeepMimic is very good at automatically detecting and removing these artifacts.

Quantifying motion quality is challenging, often subjective. While physics simulations don’t solve all problems, they offer a way to objectively improve quality by reducing physically implausible motions, for example: