· Contributors · Organizations ·
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters
DescriptionConditional Adversarial Latent Models (CALM) is a method for learning latent generative models for physical character animation. CALM learns a semantic representation for motion, allowing control over the generated motions and style-conditioning for higher-level training. Once trained, the character is controlled using intuitive controls akin to those in video games.
LocationPetree Hall C
Research & Education
Artificial Intelligence/Machine Learning