DSANet

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Bringing Old Photo Back to Life (CVPR 2020 oral)

[ECCV 2024] codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

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

The state-of-the-art image restoration model without nonlinear activation functions.

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

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