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    • Visual and large multimodal models promote image restoration and enhancement: research progress

    • Significant progress has been made in image restoration and enhancement technology, providing new ideas for fields such as autonomous driving and intelligent healthcare.
    • Vol. 30, Issue 5, Pages: 1197-1219(2025)   

      Received:29 July 2024

      Revised:2024-11-01

      Published:16 May 2025

    • DOI: 10.11834/jig.240436     

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  • Wei Yanyan, Mao Tianyi, Li Baiang, Wang Fei, Li Feng, Zhang Zhao, Zhao Yang. 2025. Visual and large multimodal models promote image restoration and enhancement: research progress. Journal of Image and Graphics, 30(5):1197-1219 DOI: 10.11834/jig.240436.
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相关作者

Li Yan 武汉大学国家网络安全学院;武汉大学计算机学院
Huang Ji 中国科学技术大学计算机学院
Zou Qin 武汉大学计算机学院;人工智能与数字经济广东省实验室
Li Qingquan 人工智能与数字经济广东省实验室
Li Wenqi 复旦大学计算机科学技术学院
Zhou Keyang 复旦大学计算机科学技术学院
Hu Xiaoxiao 复旦大学计算机科学技术学院
Zhang Xinpeng 复旦大学计算机科学技术学院

相关机构

School of Cyber Science and Engineering, Wuhan University
School of Computer Science, Wuhan University
School of Computer Science and Technology, University of Science and Technology of China
Laboratory of Artificial Intelligence and Digital Economy
School of Computer Science, Fudan University
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