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https://github.com/znxlwm/funit-pytorch

Pytorch implementation of "Few-Shot Unsupervised Image-to-Image Translation" (ICCV 2019)
https://github.com/znxlwm/funit-pytorch

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Pytorch implementation of "Few-Shot Unsupervised Image-to-Image Translation" (ICCV 2019)

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# FUNIT-pytorch
## : Few-Shot Unsupervised Image-to-Image Translation (ICCV 2019)




### [Paper](https://arxiv.org/abs/1905.01723) | [Official PyTorch code](https://github.com/NVlabs/FUNIT)

## Tensorflow Implementation
[Tensorflow Implementation](https://github.com/taki0112/FUNIT-Tensorflow)

## Usage
```
├── dataset
└── YOUR_DATASET_NAME
├── train
├── class1 (class folder)
├── xxx.jpg (class1 image)
├── yyy.png
├── ...
├── class2
├── aaa.jpg (class2 image)
├── bbb.png
├── ...
├── class3
├── ...
├── test
├── class1
├── zzz.jpg (class1 image)
├── www.png
├── ...
├── class2
├── ccc.jpg (class2 image)
├── ddd.jpg
├── ...
```

### Train
```
> python main.py --name FUNIT --dataset YOUR_DATASET_NAME --phase train --K 1
```

### Test
```
> python main.py --name FUNIT --dataset YOUR_DATASET_NAME --phase test --K 1
```

## Architecture
![architecture](./assets/architecture.png)

## Our result
![our_result](./assets/our_result.jpg)

## Paper result
![paper_result](./assets/funit_example.jpg)