wishinger-li / awesomegan

A Summary of Generative Adversarial Networks Source Code

生成式对抗网络源码汇总

简介

自从14年 Ian Goodfellow 发表了论文Generative Adversarial Nets 以来，生成式对抗网络 GAN 受到广受关注，加上学界大牛 Yann Lecun 曾说他最激动的深度学习进展是生成式对抗网络，使得 GAN 成为近年来在机器学习领域的新宠。而目前GAN已经有很多应用，不仅可以生成手写数字，还能生成人脸还有在图像超分辨率上面的应用。

论文

GAN的发展轨迹如下： GAN->CGAN->LAPGAN->DCGAN->GRAN->VAEGAN

1. GAN Generative adversarial nets https://arxiv.org/abs/1406.2661
2. CGAN Conditional Generative Adversarial Nets https://arxiv.org/abs/1411.1784
3. LAPGAN Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks https://arxiv.org/abs/1506.05751
4. DCGAN Unsupervised representation learning with deep convolutional generative adversarial networks https://arxiv.org/abs/1511.06434
5. GRAN Generating images with recurrent adversarial networks http://lanl.arxiv.org/abs/1602.05110
6. VAEGAN Autoencoding beyond pixels using a learned similarity metric https://arxiv.org/abs/1512.09300

代码

• Tensorflow implementation of Deep Convolutional Generative Adversarial Networks which is a stabilize Generative Adversarial Networks https://github.com/carpedm20/DCGAN-tensorflow
• Keras implementation of Deep Convolutional Generative Adversarial Networks https://github.com/jacobgil/keras-dcgan
• Improved Techniques for Training GANs https://github.com/openai/improved-gan
• InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets https://github.com/openai/InfoGAN
• A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation). https://github.com/ikostrikov/TensorFlow-VAE-GAN-DRAW
• Implementation of Sequence Generative Adversarial Nets with Policy Gradient https://github.com/LantaoYu/SeqGAN
• StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks https://github.com/hanzhanggit/StackGAN
• Tensorflow implementation of Wasserstein GAN https://github.com/shekkizh/WassersteinGAN.tensorflow
• Style and Structure GAN (ECCV 2016) https://github.com/xiaolonw/ss-gan
• Generative Adversial Network for music composition https://github.com/jacotar/sound-GAN