Merge branch 'master' of https://github.com/yunjey/dtn-tensorflow

 # Domain Transfer Network (DTN) 
-<b>(Work in progress)</b>Domain Transfer Network. TensorFlow implementation of [Unsupervised Cross-Domain Image Generation](https://arxiv.org/pdf/1611.02200v1.pdf). You can download pdf file [here](https://github.com/yunjey/domain-transfer-network-tensorflow/raw/master/DTN.pdf).
+TensorFlow implementation of [Unsupervised Cross-Domain Image Generation.](https://arxiv.org/abs/1611.02200)
+![alt text](jpg/dtn.jpg)
+
+## Requirements
+* [Python 2.7](https://www.continuum.io/downloads)
+* [TensorFlow 0.12](https://github.com/tensorflow/tensorflow/tree/r0.12)
+* [Pickle](https://docs.python.org/2/library/pickle.html)
+* [SciPy](http://www.scipy.org/install.html)
+
+<br>
+
+## Usage
+
+#### Clone the repository
+```bash
+$ git clone https://github.com/yunjey/dtn-tensorflow.git
+$ cd dtn-tensorflow
+```
+
+#### Download the dataset
+```bash
+$ chmod +x download.sh
+$ ./download.sh
+```
+
+#### Resize MNIST dataset to 32x32 
+```bash
+$ python prepro.py
+```
+
+#### Pretrain the model f
+```bash
+$ python main.py --mode='pretrain'
+```
+
+#### Train the model G and D
+```bash
+$ python main.py --mode='train'
+```
+
+#### Transfer SVHN to MNIST
+```bash
+$ python main.py --mode='eval'
+```
+<br>
+
+## Results
+
+#### From SVHN to MNIST 
+
+![alt text](jpg/svhn_mnist_2900.gif)
+
+![alt text](jpg/svhn_mnist_2900.png)
+
+![alt text](jpg/svhn_mnist_3700.png)
+
+![alt text](jpg/svhn_mnist_5300.png)
+
+
+#### From Photos to Emoji (in paper)
+
+![alt text](jpg/emoji_1.png)
+
+![alt text](jpg/emoji_2.png)
+
 
 
-![alt text](jpg/dtn.jpg)