Electronic Arts Inc.
ENHANCED ANIMATION GENERATION BASED ON CONDITIONAL MODELING

Abstract:

Systems and methods are provided for enhanced animation generation based on conditional modeling. An example method includes accessing an autoencoder trained based on poses and conditional information associated with the poses, each pose being defined based on location information associated with joints, and the conditional information for each pose reflecting prior poses of the pose, with the autoencoder being trained to reconstruct, via a latent variable space, each pose based on the conditional information. Poses in a sequence of poses, are obtained via an interactive user interface, and the latent variable space is sampled. An output pose is generated based on the sampling, the output pose being included in the interactive user interface.