AIGA!nimation
Generative & Controllable
Character Animation
A collection of our research projects on learning generative priors for controllable, real-time character and hand motion.
SCA 2026
Prior-First, Condition-Second
Scalable and controllable hand motion completion. A prior-first framework that generates coherent, kinematically consistent hand motion from body motion in real time.
View project →SIGGRAPH 2024
Taming Diffusion Probabilistic Models for Character Control
A diffusion-based framework for real-time, responsive character control that produces high-quality and diverse character animations.
View project →