CVPR2023
Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
Davis Rempe, Zhengyi Luo, Xue Bin Peng, Ye Yuan, Kris Kitani, Karsten Kreis, Sanja Fidler, Or Litany
Abstract
Figure 1. (Left) We propose TRACE, a trajectory diffusion model that enables user control through test-time guidance. (Right) Generated trajectories are passed to a novel physics-based humanoid controller (PACER), forming a closed-loop pedestrian animation system.