CoMA: Compositional Human Motion Generation with Multi-modal Agents

CoMA: Compositional Human Motion Generation with Multi-modal Agents

Shanlin Sun*, Gabriel De Araujo*, Jiaqi Xu*, Shenghan Zhou*, Hanwen Zhang, Ziheng Huang, Chenyu You and Xiaohui Xie

(* Equal Contribution)

• Presented by University of California, Irvine; Southeast University; Chongqing University; Huazhong University of Science and Technology; Northeastern University; Stony Brook University
• 📬 Primary contact: Shanlin Sun ( [email protected] )

Highlights

🌟 CoMA, a compositional human motion generation framework with multi-modal agents.

🌟 CoMA can generate high-quality motion sequences given long, complex and context-rich text prompts.

📰 News

📝 TODO List

• Release CoMA full implementation.
• Release MVC training code.
• Release SPAM training code.
• Release MVC inference code and checkpoints.
• Release SPAM inference code and checkpoints.