3 papers
cs.GR2026
NaP-Control: Navigating Diffusion Prior for Versatile and Fast Character Control
Chia-Wen Chen, Yan Wu, Korrawe Karunratanakul +1
Achieving precise, versatile whole-body character control in physics-based animation remains challenging. Recent diffusion-based policies generate rich and expressive motions but t…
cs.GR2025
UniPhys: Unified Planner and Controller with Diffusion for Flexible Physics-Based Character Control
Yan Wu, Korrawe Karunratanakul, Zhengyi Luo +1
Generating natural and physically plausible character motion remains challenging, particularly for long-horizon control with diverse guidance signals. While prior work combines hig…
cs.CV2023
Optimizing Diffusion Noise Can Serve As Universal Motion Priors
Korrawe Karunratanakul, Konpat Preechakul, Emre Aksan +3
We propose Diffusion Noise Optimization (DNO), a new method that effectively leverages existing motion diffusion models as motion priors for a wide range of motion-related tasks. I…