This repository is a Tensorflow implementation of the WGAN-GP for MNIST, CIFAR-10, and ImageNet64. That will install tensorflow which uses only the CPU. To use an Nvidia GPU: .tox/py35/bin/python -m ...

This is the pytorch implementation of 3 different GAN models using same convolutional architecture. DCGAN (Deep convolutional GAN) WGAN-CP (Wasserstein GAN using weight clipping) ...

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For example, the current mainstream image super-resolution algorithms based on single or multiple frames pursue high performance indicators such as PSNR and SSIM, ... WGAN was introduced to optimize ...