Kai Zhang cszn

🌻

Focusing

Image Restoration; Inverse Problems

Achievements

cszn/README.md

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

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!

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.

ColorFM ColorFM Public template

ECCV 2026 (The testing codes are released!)

Python 44 1
ConverseNet ConverseNet Public

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

Python 138 11
KAIR KAIR Public

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

Python 3.5k 706
BSRGAN BSRGAN Public

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

Python 1.4k 192
SCUNet SCUNet Public

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

Python 840 88
USRNet USRNet Public

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

Python 920 120

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