Auxiliary Classifier Generative Adversarial Networks in Keras
CGAN ProjectionCGAN ACGAN InfoGAN Pytorch
Implementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs
Tensorflow implementation of "Towards the Automatic Anime Characters Creation with Generative Adversarial Networks"
Improved WGAN in Pytorch
A PyTorch implementation of Auxiliary Classifier GAN to generate CIFAR10 images.
Keras implementation of Wasserstein GAN. Modified from the ACGAN example.
The implement attention conditional GANs (AcGAN) model.
realization of cDCGAN ,acGAN ,pix2pix and gaugan by tensorflow
ACGAN Face Generator based on a modification from SRResNet, trained with DRAGAN regularization.
👩🦰 An ACGAN to generate anime faces with specific hair and eyes color
Performance comparison of ACGAN, BEGAN, CGAN, DRAGAN, EBGAN, GAN, infoGAN, LSGAN, VAE, WGAN, WGAN_GP on cifar-10
A Simple code to train a CNN to predict label of Covid and Non-Covid CT scan images and an ACGAN to generate them.
PyTorch implements of Auxiliary Classifier GAN
This repository implements all kinds of GAN-models based on tensorflow2.0 keras API including GAN, CGAN, WGAN, WGAN_GP, VAE, CVAE, LSGAN, infoGAN, EBGAN, BEGAN, ACGAN
Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising ...
