Generative Adversarial Network topic
Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.
TEGAN
Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields
Anime-InPainting
An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵
gandlf
Generative Adversarial Networks in Keras
Deep-Exemplar-based-Video-Colorization
The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
animeGAN
A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
Conditional-GAN
Tensorflow implementation for Conditional Convolutional Adversarial Networks.
Exemplar-GAN-Eye-Inpainting-Tensorflow
Tensorflow implement of "Eye In-Painting with Exemplar Generative Adversarial Networks"
celeba-gan-pytorch
Generative Adversarial Networks in PyTorch
CDCGAN-Keras
Conditional Deep Convolutional GAN
swg
Sliced Wasserstein Generator