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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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Forget training separate models for each compression level; this framework achieves state-of-the-art extreme image compression with flexible bitrate control using a single diffusion-based arbitrary-scale super-resolution model.
