https://github.com/znxlwm/funit-pytorch
Pytorch implementation of "Few-Shot Unsupervised Image-to-Image Translation" (ICCV 2019)
https://github.com/znxlwm/funit-pytorch
Last synced: 3 months ago
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Pytorch implementation of "Few-Shot Unsupervised Image-to-Image Translation" (ICCV 2019)
- Host: GitHub
- URL: https://github.com/znxlwm/funit-pytorch
- Owner: znxlwm
- License: mit
- Created: 2019-08-14T01:01:31.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2019-08-14T02:09:51.000Z (about 6 years ago)
- Last Synced: 2024-09-05T15:48:29.588Z (about 1 year ago)
- Language: Python
- Size: 9.57 MB
- Stars: 36
- Watchers: 4
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# FUNIT-pytorch
## : Few-Shot Unsupervised Image-to-Image Translation (ICCV 2019)
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### [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
## Our result
## Paper result
