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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.
Bicubic++ (NTIRE @ CVPR 2023, Real Time Super Resolution Track 2 winner)
Blueprint Separable Residual Network for Efficient Image Super-Resolution
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
A simple implementation of esrgan, which uses the pytorch framework.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
PyTorch implements `Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data` paper.
PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)
Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
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