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Conditional-GAN

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Tensorflow implementation for Conditional Convolutional Adversarial Networks.

// repository documentation

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# Conditional-GANs
The test code for Conditional Generative Adversarial Nets using tensorflow.

## INTRODUCTION

Tensorflow implements of [Conditional Generative Adversarial Nets](https://arxiv.org/abs/1411.1784).The paper should be the first one to introduce Conditional GANS.But they did not provide source codes.My code has some differences comparing the paper:The Gans is based on Convolution network and the code refer to [DCGAN](https://github.com/carpedm20/DCGAN-tensorflow).

## Prerequisites

- tensorflow >=1.0

- python 2.7

- opencv 2.4.8

- scipy 0.13

## Usage

Download mnist:
  
    $ python download.py mnist
  
  Train:
  
    $ python main.py --op 0
  
  Test:
  
    $ python main.py --op 1
  
  Visualization:
  
    $ python main.py --op 2
    
  GIF:
  
    $ python make_gif.py
  
## Result on mnist

![](https://raw.githubusercontent.com/zhangqianhui/Conditional-GAN/master/images/result.gif)

## Visualization:

the visualization of weights:

![](https://raw.githubusercontent.com/zhangqianhui/Conditional-GAN/master/images/weights.png)

the visualization of activation:

![](https://raw.githubusercontent.com/zhangqianhui/Conditional-GAN/master/images/activations.png)

## Reference code

[DCGAN](https://github.com/carpedm20/DCGAN-tensorflow)

Conditional-GAN

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