Qin Sun

ReMoGen: Real-time Human Interaction-to-Reaction Generation via Modular Learning from Diverse Data

Human behaviors in real-world environments are inherently interactive, with an individual's motion shaped by surrounding agents and the scene. Such capabilities are essential for applications in virtual avatars, interactive animation, and human-robot collaboration. We target real-time human interact