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cszn/README.md

Kai Zhang visitors

[Homepage] [Google Scholar] [ResearchGate] [知乎]

I am currently an Associate Professor of the School of Intelligence Science and Technology at Nanjing University.

News:

Our new work, ConverseNet, has been accepted to ICCV 2025.

Our new work SCUNet for practical image denoising.

We released the testing code of BSRGAN!

🌱 My Repositories

ConverseNet SCUNet BSRGAN KAIR USRNet DPIR IRCNN SRMD DPSR DnCNN FFDNet

The pytorch training and testing codes of SRMD, DnCNN, FFDNet can be found in KAIR.

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  1. ConverseNet ConverseNet Public

    Reverse Convolution and Its Applications to Image Restoration (ICCV, 2025)

    Python 38 3

  2. KAIR KAIR Public

    Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

    Python 3.2k 666

  3. BSRGAN BSRGAN Public

    Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

    Python 1.3k 189

  4. SCUNet SCUNet Public

    Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis (Machine Intelligence Research 2023)

    Python 749 79

  5. DPIR DPIR Public

    Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)

    Python 713 105

  6. USRNet USRNet Public

    Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

    Python 888 117