30 citations · 38 across the 7 of their papers we have counts for
4 papers · 1 filter
GPC: Large-Scale Generative Pretraining for Transferable Motor Control
Yi Shi, Yifeng Jiang, Chen Tessler +1
Developing controllers capable of completing a wide range of tasks in a natural and life-like manner is a key challenge in enabling practical applications of physics-based characte…
SHARE: Scene-Human Aligned Reconstruction
Joshua Li, Brendan Chharawala, Chang Shu +2
Animating realistic character interactions with the surrounding environment is important for autonomous agents in gaming, AR/VR, and robotics. However, current methods for human mo…
StableMotion: Training Motion Cleanup Models with Unpaired Corrupted Data
Yuxuan Mu, Hung Yu Ling, Yi Shi +5
Motion capture (mocap) data often exhibits visually jarring artifacts due to inaccurate sensors and post-processing. Cleaning this corrupted data can require substantial manual eff…
Interactive Character Control with Auto-Regressive Motion Diffusion Models
Yi Shi, Jingbo Wang, Xuekun Jiang +3
Real-time character control is an essential component for interactive experiences, with a broad range of applications, including physics simulations, video games, and virtual reali…