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I am currently a postdoctoral researcher at Computer Vision Lab, ETH Zurich, Switzerland.

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 3.1k 652

2. BSRGANBSRGANPublic

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

   Python 1.3k 189

3. SCUNetSCUNetPublic

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

   Python 697 71

4. DPIRDPIRPublic

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

   Python 676 101

5. USRNetUSRNetPublic

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

   Python 880 115

6. DnCNNDnCNNPublic

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

   MATLAB 1.5k 539