Human Foundation Model and Agent

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Welcome to Human Foundation Model and Agent, presented by Chris Xin Chen. This presentation introduce Human Foundation Agent, which is also inspired by Micheal J. Black’s talk at Stanford University. Different from previous motion generation tasks, a human-like agent can not only provide human motion from motion descriptions, but also should have the ability to think out human behavior based on inputs of vision and goals. This advanced capability allows for more natural and intuitive interactions, paving the way for more sophisticated and human-like AI systems.

Xin Chen
Xin Chen
陈欣 | Research Scientist

My research interests include generative AI, human agents, 3D and human motion generation.