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Open Source Image and Video Restoration Toolbox, especially for Super-Resolution, including EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (PyTorch) - We released the testing code!
Unofficial Implementation of "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" in CVPR 2018.
PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)
[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution
The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)
Official implementation of Deep Burst Super-Resolution
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution
Here is a series of face generators based on StyleGAN2
Examples of Generative Adversarial Networks built using torchgan
no reference image/video quaity assessment(BRISQUE/NIQE/PIQE/DIQA/deepBIQ/VSFA
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
ProGAN package implemented as an extension of PyTorch nn.Module
A python implementation of BRISQUE Image Quality Assessment
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
Pytorch implementation of "Zero Shot" Super Resolution
《深入浅出 PyTorch——从模型到源码》书中代码,学习用
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
Real-World Super-Resolution via Kernel Estimation and Noise Injection
[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
Real-World Super-Resolution via Kernel Estimation and Noise Injection
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)
Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch
Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.