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https://github.com/taki0112/CartoonGAN-Tensorflow

Simple Tensorflow implementation of CartoonGAN (CVPR 2018)
https://github.com/taki0112/CartoonGAN-Tensorflow

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Simple Tensorflow implementation of CartoonGAN (CVPR 2018)

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# CartoonGAN-Tensorflow
Simple Tensorflow implementation of [CartoonGAN](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_CartoonGAN_Generative_Adversarial_CVPR_2018_paper.pdf) (CVPR 2018)

## Pytorch version
* [CartoonGAN-Pytorch](https://github.com/znxlwm/pytorch-CartoonGAN)

## Requirements
* Tensorflow 1.8
* Python 3.6

## Usage
### 1. Download vgg19
* [vgg19.npy](https://mega.nz/#!xZ8glS6J!MAnE91ND_WyfZ_8mvkuSa2YcA7q-1ehfSm-Q1fxOvvs)

### 2. Do edge_smooth
```
> python edge_smooth.py --dataset face2anime --img_size 256
```

```
├── dataset
   └── YOUR_DATASET_NAME
   ├── trainA
          ├── xxx.jpg (name, format doesn't matter)
├── yyy.png
└── ...
   ├── trainB
├── zzz.jpg
├── www.png
└── ...
   ├── trainB_smooth (After you run the above code, it will be created automatically)
   ├── zzz.jpg
├── www.png
└── ...
   └── testA
├── aaa.jpg
├── bbb.png
└── ...
```

### 3. Train
* python main.py --phase train --dataset face2anime --epoch 100 --init_epoch 1

### 4. Test
* python main.py --phase test --dataset face2anime

## Author
Junho Kim