HY-Motion 1.0: Scaling Flow Matching Models for Text-To-Motion Generation
By: Yuxin Wen, Qing Shuai, Di Kang, Jing Li, Cheng Wen, Yue Qian, Ningxin Jiao, Changhai Chen, Weijie Chen, Yiran Wang, Jinkun Guo, Dongyue An, Han Liu, Yanyu Tong, Chao Zhang, Qing Guo, Juan Chen, Qiao Zhang, Youyi Zhang, Zihao Yao, Cheng Zhang, Hong Duan, Xiaoping Wu, Qi Chen, Fei Cheng, Liang Dong, Peng He, Hao Zhang, Jiaxin Lin, Chao Zhang, Zhongyi Fan, Yifan Li, Zhichao Hu, Yuhong Liu, Linus, Jie Jiang, Xiaolong Li
Published: 2025-12-29
View on arXiv →Abstract
This paper presents HY-Motion 1.0, a series of state-of-the-art, large-scale motion generation models that produce 3D human motions from text descriptions. It is the first to scale Diffusion Transformer (DiT)-based flow matching models to billion-parameter scale for motion generation, significantly improving motion quality and instruction-following capabilities.