A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"
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Updated
Nov 4, 2019 - Python
A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"
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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.
PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
In this project I have used an convolution neural network with perceptual loss to convert low res image into high res image.
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