Wandering and feeling the Scenes: Body-Aware Diffusion for 3D Human Motion Generation

As demand for virtual digital characters grows in fields such as virtual reality, gaming, and animation, generating highly controllable human motion within scenes has become a key research focus. Existing methods for scene-aware motion generation typically rely on global alignment or latent space matching, which provides limited control over the fine-grained movements of individual body parts. This limitation often leads to rigid and unrealistic motions when interacting with complex environments. Therefore, we propose the Body-Aware Interaction Diffusion Model (BA-IDM), which enables fine-grained control of human motion within a scene by leveraging multimodal information. Text descriptions, motion scenes, and movement trajectories can all serve as inputs, allowing for precise control of each body part and facilitating the generation of a wide range of complex actions. Moreover, our approach is designed to operate on de-identified motion data, effectively protecting user privacy throughout the process, which is essential for practical and user-centric applications.