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    • A comprehensive survey on visual forensics for AI-Generated image detection

    • New progress has been made in AI generated image detection technology, and experts have constructed a dual learning paradigm analysis system to provide theoretical references for building robust and interpretable detection systems.
    • Pages: 1-26(2026)   

      Received:10 December 2025

      Revised:2026-01-21

      Accepted:27 January 2026

      Published Online:27 January 2026

    • DOI: 10.11834/jig.250624     

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  • Li JiaYe, Zhang MinQing, Huang SiYuan, Feng Pei, Liu Lang. A comprehensive survey on visual forensics for AI-Generated image detection[J/OL]. Journal of Image and Graphics, 2026, 1-26. DOI: 10.11834/jig.250624.
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相关作者

Bei Yijun 浙江大学软件学院
Lou Hengrui 浙江大学计算机科学与技术学院
Gao Kewei 浙江大学软件学院
Song Jie 浙江大学软件学院;浙江大学计算机科学与技术学院
Wang Rui 中国科学院信息工程研究所
Jin Canghong 浙大城市学院计算机与计算科学学院
Lei Jie 浙江工业大学计算机科学与技术学院
Song Mingli 浙江大学计算机科学与技术学院

相关机构

College of Computer Science and Technology, Zhejiang University of Technology
College of Computer and Computing Science, Hangzhou City University
Institute of Information Engineering, Chinese Academy of Sciences
College of Computer Science and Technology, Zhejiang University
College of Software Technology, Zhejiang University
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