ETH's NaP-Control Combines RL and Diffusion Priors for Efficient Character Control

ETH Zurich's NaP-Control, accepted to ECCV 2026, combines RL with task-agnostic diffusion motion priors to directly predict noise, cutting inference costs and enabling robust character control on uneven terrain.

2026-08-23 ~ 2026-08-23 · 2 related posts

• ETH Zurich Introduces NaP-Control: Merging RL with Diffusion Priors for Fast Character Control — rsasaki0109 · 2026-08-23
• NaP-Control Accepted to ECCV 2026: Efficient Physics-based Character Control — rsasaki0109 · 2026-08-23