cszn Goto Github PK

bsrgan

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

cszn

cszn.github.io

Kai's homepage:

dncnn

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

dpir

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

dpsr

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

ffdnet

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

ircnn

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

kair

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

scunet

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

srmd

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

usrnet

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