A simple interface for editing natural photos with generative neural networks.
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Updated
Mar 22, 2017 - Python
A simple interface for editing natural photos with generative neural networks.
Generative Adversarial Network Project
Contains my experiments with GANs.
UofU GANS
An implementation for a Deep Convolutional Generative Adversarial Network (DCGAN)
Generative adversarial networks (GANs) to generate new images of faces. From Udacity Deep Learning Nanodegree.
Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
Progressively growing of GANs Pytorch Implementation
Generated never before seen faces from a dataset of Celebrity Faces
Image Generation using Generative Adversarial Networks (GANs) on MNIST dataset
Tensorflow implementation of StarGAN. Feature translation between images using Generative Adversarial Networks (GANs). It allows to modify a physical characteristic such as the hair color.
Implementation of the paper : "Toward Multimodal Image-to-Image Translation"
🐑 A Chainer implementation of MoCoGAN
This is the project for generating faces with GANs.
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