Kai Ruan

2 accepted papers

2026

X-MoGen: Unified Motion Generation Across Humans and Animals

Xuan Wang, Kai Ruan, Liyang Qian, Guo Zhi Zhi, Chang Su, Gaoang Wang

AAAI 2026technical

Text-driven motion generation has attracted increasing attention due to its broad applications in virtual reality, animation, and robotics. While existing methods typically model human and animal motion separately, a joint cross-species approach offers key advantages, such as a unified representatio

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2025

AniMo: Species-Aware Model for Text-Driven Animal Motion Generation

Xuan Wang, Kai Ruan, Xing Zhang, Gaoang Wang

CVPR 2025poster

Text-driven motion generation has made significant strides in recent years. However, most existing works focus on human motion, largely overlooking the rich and diverse behaviors of animals. Understanding and synthesizing animal motion have important applications in wildlife conservation, animal eco…

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