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Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
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.
Fast stable diffusion on CPU
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'.
PyTorch implementation of Deep Convolution Networks based on EDSR for Compression(Jpeg) Artifacts Reduction
Structure preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks (CVPRW 2020)
Super-Resolution models implemented in PyTorch Lightning
Can we perform face hallucination using limited set of unaligned pairs?
A simple image upscaler application using EDSR, ESPCN, FSRCNN, and LapSRN models
This is an Image Enhancement project which uses EDSR, WDSR, and SRGAN methods to increase the resolution of an image while also improving the details significantly.