Synthesizing natural human motion that adapts to complex environments while allowing
creative control remains a fundamental challenge in motion synthesis. Existing models often …

Human motion generation and editing are key components of computer graphics and vision.
However, current approaches in this field tend to offer isolated solutions tailored to specific …

Recent advances in generative modeling and tokenization have driven significant progress
in text-to-motion generation, leading to enhanced quality and realism in generated motions …

Diffusion models have demonstrated substantial success in controllable generation for
continuous modalities, positioning them as highly suitable for tasks such as human motion …

Human bodily movements convey critical insights into action intentions and cognitive
processes, yet existing multimodal systems primarily focused on understanding human …