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Zheng Chen

I am a second-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/video restoration (e.g., super-resolution, deblurring), image quality assessment, diffusion model, model compression (e.g., binarization), and multimodal learning.

News

Oct 12, 2025 The training code and the HQ-VSR dataset of our work DOVE are released: Project | GitHub.
Oct 7, 2025 Our work QuantDemoire is released: Paper | Project | GitHub.
Sep 18, 2025 Our paper DOVE is accepted by NeurIPS 2025.
Sep 15, 2025 I am serving as a reviewer for ICLR 2026 and CVPR 2026.
Aug 8, 2025 Our works are released: (1) SODEC: Paper | Project | GitHub; (2) QuantVSR: Paper | Project | GitHub.
May 22, 2025 Our work DOVE, an efficient one-step diffusion model for real-world video super-resolution, is released: Paper | Project | GitHub.
Feb 17, 2025 I am serving as a reviewer for ICCV 2025, ACM MM 2025, and NeurIPS 2025.
Dec 12, 2024 I am serving as a reviewer for ICML 2025.
Nov 27, 2024 Our work Grounding-IQA is released: Paper | Project | GitHub.
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).

Selected Publications

† Equal Contribution, * Corresponding Author(s)

2025

  1. arXiv
    QuantDemoire: Quantization with Outlier Aware for Image Demoiréing
    Zheng Chen†, Kewei Zhang†, Xiaoyang Liu, Weihang Zhang, Mengfan Wang, Yifan Fu, and Yulun Zhang*
    arXiv preprint arXiv:2510.04066, 2025
    PDF Code Proj
  2. arXiv
    Steering One-Step Diffusion Model with Fidelity-Rich Decoder for Fast Image Compression
    Zheng Chen†, Mingde Zhou†, Jinpei Guo, Jiale Yuan, Yifei Ji, and Yulun Zhang*
    arXiv preprint arXiv:2508.04979, 2025
    PDF Code Proj
  3. arXiv
    QuantVSR: Low-Bit Post-Training Quantization for Real-World Video Super-Resolution
    Bowen Chai†, Zheng Chen†, Libo Zhu, Wenbo Li, Yong Guo, and Yulun Zhang*
    arXiv preprint arXiv:2508.04485, 2025
    PDF Code Proj
  4. NeurIPS
    DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution
    Zheng Chen†, Zichen Zou†, Kewei Zhang, Xiongfei Su, Xin Yuan, Yong Guo, and Yulun Zhang*
    In Advances in Neural Information Processing Systems, 2025
    PDF Code Proj
  5. ICCV
    Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal
    Jinpei Guo, Zheng Chen, Wenbo Li, Yong Guo, and Yulun Zhang*
    In International Conference on Computer Vision, 2025
    PDF Code
  6. CVPRW
    NTIRE 2025 Challenge on Image Super-Resolution (×4): Methods and Results
    Zheng Chen, Kai Liu, Jue Gong, Jingkai Wang, Lei Sun, Zongwei Wu, Radu Timofte, Yulun Zhang*, and  others
    In Computer Vision and Pattern Recognition Workshops, 2025
    PDF Code Proj
  7. CVPRW
    NTIRE 2025 Challenge on Real-World Face Restoration: Methods and Results
    Zheng Chen, Jingkai Wang, Kai Liu, Jue Gong, Lei Sun, Zongwei Wu, Radu Timofte, Yulun Zhang*, and  others
    In Computer Vision and Pattern Recognition Workshops, 2025
    PDF Code Proj

2024

  1. arXiv
    Grounding-IQA: Grounding Multimodal Language Model for Image Quality Assessment
    Zheng Chen, Xun Zhang, Wenbo Li, Renjing Pei, Fenglong Song, Xiongkuo Min, Xiaohong Liu, Xin Yuan, Yong Guo, and Yulun Zhang*
    arXiv preprint arXiv:2411.17237, 2024
    PDF Code Proj
  2. 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
  3. 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
  4. 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