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

Our new workSCUNet for practical image denoising.

We released the testing code ofBSRGAN!

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

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1. KAIRKAIRPublic

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

   Python 3.2k 664

2. BSRGANBSRGANPublic

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

   Python 1.3k 192

3. SCUNetSCUNetPublic

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

   Python 743 78

4. DPIRDPIRPublic

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

   Python 710 105

5. USRNetUSRNetPublic

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

   Python 884 116

6. DnCNNDnCNNPublic

   Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

   MATLAB 1.6k 546