README_en.md 1.9 KB
Newer Older
L
LielinJiang 已提交
1
English | [简体中文](./README.md)
L
LielinJiang 已提交
2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37

# PaddleGAN

PaddleGAN is an development kit of Generative Adversarial Network based on PaddlePaddle.

### Image Translation
![](./docs/imgs/A2B.png)
![](./docs/imgs/B2A.png)

### Makeup shifter
![](./docs/imgs/makeup_shifter.png)

### Old video restore
![](./docs/imgs/color_sr_peking.gif)

### Super resolution

![](./docs/imgs/sr_demo.png)

### Motion driving
![](./docs/imgs/first_order.gif)

Features:

- Highly Flexible:

  Components are designed to be modular. Model architectures, as well as data
preprocess pipelines, can be easily customized with simple configuration
changes.

- Rich applications:

  PaddleGAN provides rich of applications, such as image generation, image restore, image colorization, video interpolate, makeup shifter.

## Install

38
Please refer to [install](./docs/en_US/install.md).
L
LielinJiang 已提交
39 40

## Data Prepare
41
Please refer to [data prepare](./docs/en_US/data_prepare.md) for dataset preparation.
L
LielinJiang 已提交
42 43

## Get Start
44
Please refer [get started](./docs/en_US/get_started.md) for the basic usage of PaddleGAN.
L
LielinJiang 已提交
45 46

## Model tutorial
47 48 49 50 51
* [Pixel2Pixel](./docs/en_US/tutorials/pix2pix_cyclegan.md)
* [CycleGAN](./docs/en_US/tutorials/pix2pix_cyclegan.md)
* [PSGAN](./docs/en_US/tutorials/psgan.md)
* [First Order Motion Model](./docs/en_US/tutorials/motion_driving.md)
* [Video restore](./docs/zh_CN/tutorials/video_restore.md)
L
LielinJiang 已提交
52 53 54 55 56 57 58 59

## License
PaddleGAN is released under the [Apache 2.0 license](LICENSE).

## Contributing

Contributions and suggestions are highly welcomed. Most contributions require you to agree to a [Contributor License Agreement (CLA)](https://cla-assistant.io/PaddlePaddle/PaddleGAN) declaring.
When you submit a pull request, a CLA-bot will automatically determine whether you need to provide a CLA. Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
60
For more, please reference [contribution guidelines](docs/en_US/contribute.md).