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Zheng Chen

I am a first-year PhD student at the Department of Computer Science and Engineering (CSE), Shanghai Jiao Tong University (SJTU), advised by Prof. Yulun Zhang. Previously, I received my B.E. degree from SJTU in 2022. My master’s advisor is Prof. Linghe Kong.

My research interest is computer vision, including image restoration (e.g., super-resolution, deblurring), image quality assessment, diffusion model, model compression (e.g., binarization), and multimodal learning.

News

Nov 4, 2024 I am serving as a reviewer for CVPR 2025.
Oct 23, 2024 The code for BI-DiffSR is now available: Project | GitHub.
Sep 26, 2024 Our paper BI-DiffSR is accepted by NeurIPS 2024.
Jan 17, 2024 Our paper RGT is accepted by ICLR 2024.
Sep 21, 2023 Our paper HI-Diff is accepted by NeurIPS 2023 (Spotlight).
Jul 14, 2023 Our paper DAT is accepted by ICCV 2023.
Sep 15, 2022 Our paper CAT is accepted by NeurIPS 2022 (Spotlight).

Publications

* Corresponding Author(s)

2024

  1. NeurIPS
    Binarized Diffusion Model for Image Super-Resolution
    Zheng Chen, Haotong Qin*, Yong Guo, Xiongfei Su, Xin Yuan, Linghe Kong, and Yulun Zhang*
    In Advances in Neural Information Processing Systems, 2024
    PDF Code Proj
  2. CVPRW
    NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results
    Zheng Chen, Zongwei Wu, Eduard Sebastian Zamfir, Kai Zhang, Yulun Zhang*, Radu Timofte, Xiaokang Yang, and  others
    In Computer Vision and Pattern Recognition Workshops, 2024
    PDF Code
  3. ICLR
    Recursive Generalization Transformer for Image Super-Resolution
    Zheng Chen, Yulun Zhang*, Jinjin Gu, Linghe Kong*, and Xiaokang Yang
    In International Conference on Learning Representations, 2024
    PDF Code

2023

  1. arXiv
    Image Super-Resolution with Text Prompt Diffusion
    Zheng Chen, Yulun Zhang*, Jinjin Gu, Xin Yuan, Linghe Kong*, Guihai Chen, and Xiaokang Yang
    arXiv preprint arXiv:2311.14282, 2023
    PDF Code
  2. NeurIPS Spotlight
    Hierarchical Integration Diffusion Model for Realistic Image Deblurring
    Zheng Chen, Yulun Zhang*, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong*, and Xin Yuan
    In Advances in Neural Information Processing Systems, 2023
    PDF Code
  3. ICCV
    Dual Aggregation Transformer for Image Super-Resolution
    Zheng Chen, Yulun Zhang*, Jinjin Gu, Linghe Kong*, Xiaokang Yang, and Fisher Yu
    In International Conference on Computer Vision, 2023
    PDF Code
  4. CVPRW
    NTIRE 2023 challenge on image super-resolution (×4): Methods and results
    Yulun Zhang, Kai Zhang*, Zheng Chen, Yawei Li, Radu Timofte, and  others
    In Computer Vision and Pattern Recognition Workshops, 2023
    PDF Code

2022

  1. NeurIPS Spotlight
    Cross Aggregation Transformer for Image Restoration
    Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong*, and Xin Yuan
    In Advances in Neural Information Processing Systems, 2022
    PDF Code