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Xinning Chai, Zhengxue Cheng, and Rong Xie are with the School of Information Science and Electronic Engineering, Shanghai Jiao Tong University (E-mail: chaixinning@sjtu.edu.cn, zxcheng@sjtu.edu.cn, xierong@sjtu.edu.cn). Xin Li is with the Department of Electronic Engineer and Information Science, University of Science and Technology of China (E-mail: xin.li@ustc.edu.cn). Li Song is with the School of Information Science and Electronic Engineering, Shanghai Jiao Tong University and the MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, China (E-mail: song_li@sjtu.edu.cn). (corresponding author: Zhengxue Cheng, Li Song)
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Kimodo leaps ahead in controllable human motion generation by training a diffusion model on a massive 700-hour mocap dataset, enabling unprecedented control fidelity via text and diverse kinematic constraints.