Generating Realistic Human Motion Sequences for Virtual Scenes with Diverse Contextual Conditioning

Purposer is a novel learning-based probabilistic model that can generate realistic human motion sequences conditioned on various contextual information, such as scene geometry, past observations, future target poses, and semantic action-object interactions, to populate virtual 3D scenes.