3D Human Motion

3D human motion research focuses on accurately capturing, generating, and manipulating human movement in three dimensions. Current efforts concentrate on developing robust methods for recovering 3D motion from various input modalities (e.g., video, IMU data), employing advanced architectures like diffusion models, transformers, and neural operators to generate realistic and diverse motions, often conditioned on text or other contextual information. This field is crucial for advancements in areas such as virtual reality, animation, robotics, and human-computer interaction, enabling more natural and intuitive interactions with digital environments and machines.