Publications
Prototype Clustered Diffusion Models for Versatile Inverse Problems
Jinghao Zhang, Zizheng Yang, Qi Zhu, and Feng Zhao
Arxiv, 2024
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[Project Page]
Decomposition Ascribed Synergistic Learning for Unified Image Restoration
Jinghao Zhang, and Feng Zhao
Arxiv, 2023
[PDF]
[Project Page]
Ingredient-oriented Multi-Degradation Learning for Image Restoration
Jinghao Zhang, Jie Huang, Mingde Yao, Zizheng Yang, Hu Yu, Man Zhou, and Feng Zhao
IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[PDF]
[Project Page]
Transition-constant Normalization for Image Enhancement
Jie Huang, Man Zhou, Jinghao Zhang, Gang Yang, Mingde Yao, Chongyi Li, Zhiwei Xiong, and Feng Zhao
Advances in Neural Information Processing Systems, 2023 (NeurIPS)
[PDF]
[Project Page]
Visual Recognition-Driven Image Restoration for Multiple Degradation with Intrinsic Semantics Recovery
Zizheng Yang, Jie Huang, Jiahao Chang, Man Zhou, Hu Yu, Jinghao Zhang, Feng Zhao
IEEE Conference on Computer Vision and Pattern Recognition, 2023 (CVPR)
[PDF]
[Project Page]
Deep Fourier- based Exposure Correction Network with Spatial-Frequency Interaction
Jie Huang, Yajing Liu, Feng Zhao, Keyu Yan, Jinghao Zhang, Yukun Huang, Man Zhou, and Zhiwei Xiong
European Conference on Computer Vision, 2022 (ECCV, Oral)
[PDF]
[Project Page]
Structure- and Texture-Aware Learning for Low-Light Image Enhancement
Jinghao Zhang, Jie Huang, Mingde Yao, Man Zhou, and Feng Zhao
ACM International Conference on Multimedia, 2022 (ACM MM)
[PDF]
[Project Page]