githubsuperresolution

This repository is as a research project in the field of super resolution. It uses RDN as the generator and spectral norm is used in discriminator.

This is a custom layer consisting of a 2D convolution to s 2 n channels, where s is the scaling factor, and n is the desired output channels in the upscaled ...

Zero-Shot Super-Resolution using Deep Internal Learning (ZSSR). Official implementation for paper by: Assaf Shocher, Nadav Cohen, Michal Irani.

Official repository containing code and other material from the paper Efficient Video Super-Resolution through Recurrent Latent Space Propagation (https:// ...

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution - GitHub - krasserm/super-resolution: Tensorflow 2.x based ...

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Super-scale your images and run experiments with Residual Dense and Adversarial Networks. docker aws machine-learning computer-vision deep-learning neural ...

Super Resolution survey. Awesome-Super-Resolution（in progress）. Collect some super-resolution related papers, data and repositories. papers. DL based ...

The goal of this project is to upscale and improve the quality of low resolution images. This project contains Keras implementations of different Residual Dense ...

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR ...