1

KAIR

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

Python

2,856

2

DnCNN

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

MATLAB

1,414

3

BSRGAN

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

Python

1,177

4

USRNet

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

Python

856

5

DPSR

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

Python

838

6

DPIR

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

Python

635

7

SCUNet

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

Python

626

8

IRCNN

Learning Deep CNN Denoiser Prior for Image Restoration (CVPR, 2017) (Matlab)

MATLAB

588

9

FFDNet

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

MATLAB

459

10

SRMD

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

MATLAB

424

11

cszn.github.io

Kai's homepage:

HTML

10

12

cszn

5