Bay Raitt

ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics

Our work focuses on the development of a learnable neural representation of human pose for advanced AI assisted animation tooling. Specifically, we tackle the problem of constructing a full static human pose based on sparse and variable user inputs (e.g. locations and/or orientations of a subset of…