Keras-GAN-Library
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jason71995
Implementation of GAN papers on Keras.
Keras GAN library
Introduction
Implementation of GAN papers, all using cifar10 dataset in this project.
ATTENTION:
- This repository is no longer maintained, please see here for implementations in Tensorflow 2.0 and Keras
- To compare the differences of GAN methods, the hyperparameters in this project are not exactly same as papers. Architecture of generators and discriminators are as similar as possible, and using same optimizer setting.
Environment
python==3.6
tensorflow==1.4.0
keras==2.1.0
Implemented Papers
- DCGAN - Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks link
- LSGAN - Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities link
- WGAN-GP - Improved Training of Wasserstein GANs link
- SNGAN - Spectral Normalization for Generative Adversarial Networks link
Results
| Name | 50 epochs |
|---|---|
| DCGAN |  |
| LSGAN |  |
| WGAN-GP |  |
| SNGAN |  |
jason71995