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Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation (ECCV 2020) (Pytorch)
Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"
Image reconstruction done with untrained neural networks.
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Code of TPAMI 2022
FSSR codes.
Pytorch Implementation of Group-equivariant Convolutional Networks
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
"Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training" (NeurIPS 2021)
Image-to-Image Translation in PyTorch
[ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This code was the winning solution of the AIM challenge on Real-World Super-Resolution at ICCV 2019
Collection of popular and reproducible image denoising works.
【SCIS2021】A comprehensive survey on deraining. Keep updating
【CVPR 2021, Variational Rain Generator】 From Rain Generation to Rain Removal
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.