English | [ç®ä½ä¸æ](./README_cn.md)
# PaddleGAN
PaddleGAN provides developers with high-performance implementation of classic and SOTA Generative Adversarial Networks, and supports developers to quickly build, train and deploy GANs for academic, entertainment and industrial usage.
GAN-Generative Adversarial Network, was praised by "the Father of Convolutional Networks" **Yann LeCun (Yang Likun)** as **[One of the most interesting ideas in the field of computer science in the past decade]**. It's the one research area in deep learning that AI researchers are most concerned about.
<div align='center'>
<img src='./docs/imgs/ppgan.jpg'>
</div>
[![License](https://img.shields.io/badge/license-Apache%202-red.svg)](LICENSE)![python version](https://img.shields.io/badge/python-3.6+-orange.svg)
## Recent Contributors
[![](https://sourcerer.io/fame/LaraStuStu/paddlepaddle/paddlegan/images/0)](https://sourcerer.io/fame/LaraStuStu/paddlepaddle/paddlegan/links/0)[![](https://sourcerer.io/fame/LaraStuStu/paddlepaddle/paddlegan/images/1)](https://sourcerer.io/fame/LaraStuStu/paddlepaddle/paddlegan/links/1)[![](https://sourcerer.io/fame/LaraStuStu/paddlepaddle/paddlegan/images/2)](https://sourcerer.io/fame/LaraStuStu/paddlepaddle/paddlegan/links/2)[![](https://sourcerer.io/fame/LaraStuStu/paddlepaddle/paddlegan/images/3)](https://sourcerer.io/fame/LaraStuStu/paddlepaddle/paddlegan/links/3)[![](https://sourcerer.io/fame/LaraStuStu/paddlepaddle/paddlegan/images/4)](https://sourcerer.io/fame/LaraStuStu/paddlepaddle/paddlegan/links/4)[![](https://sourcerer.io/fame/LaraStuStu/paddlepaddle/paddlegan/images/5)](https://sourcerer.io/fame/LaraStuStu/paddlepaddle/paddlegan/links/5)[![](https://sourcerer.io/fame/LaraStuStu/paddlepaddle/paddlegan/images/6)](https://sourcerer.io/fame/LaraStuStu/paddlepaddle/paddlegan/links/6)[![](https://sourcerer.io/fame/LaraStuStu/paddlepaddle/paddlegan/images/7)](https://sourcerer.io/fame/LaraStuStu/paddlepaddle/paddlegan/links/7)
## Quick Start
* Please refer to the [installation document](./docs/en_US/install.md) to make sure you have installed PaddlePaddle and PaddleGAN correctly.
* Get started through ppgan.app interface:
```python
from ppgan.apps import RealSRPredictor
sr = RealSRPredictor()
sr.run("docs/imgs/monarch.png")
```
* More applications, please refer to [ppgan.apps apis](./docs/en_US/apis/apps.md)
* More tutorials:
- [Data preparation](./docs/en_US/data_prepare.md)
- [Training/Evaluating/Testing basic usage](./docs/zh_CN/get_started.md)
## Model Tutorial
* [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): **ð¤©Key Technology of "Mai-ha-hið" (Face Swapping)ð¤©**
* [FaceParsing](./docs/en_US/tutorials/face_parse.md)
* [AnimeGANv2](./docs/en_US/tutorials/animegan.md)
* [U-GAT-IT](./docs/en_US/tutorials/ugatit.md)
* [Photo2Cartoon](./docs/en_US/tutorials/photo2cartoon.md)
* [Wav2Lip](./docs/en_US/tutorials/wav2lip.md)
* [Super_Resolution](./docs/en_US/tutorials/super_resolution.md)
* [StyleGAN2](./docs/en_US/tutorials/styleganv2.md)
## Composite Application
* [Video restore](./docs/en_US/tutorials/video_restore.md)
## Online Tutorial
You can run those projects in the [AI Studio](https://aistudio.baidu.com/aistudio/projectoverview/public/1?kw=paddlegan) to learn how to use the models above:
|Online Tutorial | link |
|--------------|-----------|
|Face Swapping-multi-personal "Mai-ha-hi" | [Click and Try](https://aistudio.baidu.com/aistudio/projectdetail/1603391) |
|Face Swapping-"Mai-ha-hi" |[Click and Try](https://aistudio.baidu.com/aistudio/projectdetail/1586056?channelType=0&channel=0)|
|Restore the video of Beijing hundreds years ago|[Click and Try](https://aistudio.baidu.com/aistudio/projectdetail/1161285)|
|Face Swapping-When "Su Daqiang" sings "unravel" |[Click and Try](https://aistudio.baidu.com/aistudio/projectdetail/1048840)|
## Examples
### Face Swapping:"Mayiyahei"
<div align='center'>
<img src=https://user-images.githubusercontent.com/48054808/109486399-c8ba6b00-7abd-11eb-8f17-5fa8e44f1d81.gif width='300'/>
</div>
### Image Translation
<div align='center'>
<img src='./docs/imgs/horse2zebra.gif'width='700' height='200'/>
</div>
### Old video restore
<div align='center'>
<img src='./docs/imgs/color_sr_peking.gif' width='700'/>
</div>
### Motion driving
<div align='center'>
<img src='./docs/imgs/first_order.gif' width='700'>
</div>
### Super resolution
<div align='center'>
<img src='./docs/imgs/sr_demo.png'width='700' height='250'/>
</div>
### Makeup shifter
<div align='center'>
<img src='./docs/imgs/makeup_shifter.png'width='700' height='250'/>
</div>
### Face cartoonization
<div align='center'>
<img src='./docs/imgs/ugatit.png'width='700' height='250'/>
</div>
### Realistic face cartoonization
<div align='center'>
<img src='./docs/imgs/photo2cartoon.png'width='700' height='250'/>
</div>
### Photo animation
<div align='center'>
<img src='./docs/imgs/animeganv2.png'width='700' height='250'/>
</div>
### Lip-syncing
<div align='center'>
<img src='./docs/imgs/mona.gif'width='700'>
</div>
## Changelog
- v0.1.0 (2020.11.02)
- Release first version, supported models include Pixel2Pixel, CycleGAN, PSGAN. Supported applications include video frame interpolation, super resolution, colorize images and videos, image animation.
- Modular design and friendly interface.
## Community
Scan OR Code below to join [PaddleGAN QQ Groupï¼1058398620], you can get offical technical support here and communicate with other developers/friends. Look forward to your participation!
<div align='center'>
<img src='./docs/imgs/qq.png'width='250' height='300'/>
</div>
### PaddleGAN Special Interest Groupï¼SIGï¼
It was first proposed and used by [ACMï¼Association for Computing Machinery)](https://en.wikipedia.org/wiki/Association_for_Computing_Machinery) in 1961. Top International open source organizations including [Kubernates](https://kubernetes.io/) all adopt the form of SIGs, so that members with the same specific interests can share, learn knowledge and develop projects. These members do not need to be in the same country/region or the same organization, as long as they are like-minded, they can all study, work, and play together with the same goals~
PaddleGAN SIG is such a developer organization that brings together people who interested in GAN. There are frontline developers of PaddlePaddle, senior engineers from the world's top 500, and students from top universities at home and abroad.
We are continuing to recruit developers interested and capable to join us building this project and explore more useful and interesting applications together.
SIG contributions:
- [zhen8838](https://github.com/zhen8838): contributed to AnimeGANv2.
- [Jay9z](https://github.com/Jay9z): contributed to DCGAN and updated install docs, etc.
- [HighCWu](https://github.com/HighCWu): contributed to c-DCGAN and WGAN. Support to use `paddle.vision.datasets`.
- [hao-qiang](https://github.com/hao-qiang) & [ minivision-ai ](https://github.com/minivision-ai): contributed to the photo2cartoon project.
## 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.
For more, please reference [contribution guidelines](docs/en_US/contribute.md).
## License
PaddleGAN is released under the [Apache 2.0 license](LICENSE).
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【毕业设计Demo】PaddleGAN——飞桨生成对抗网络开发套件.zip (294个子文件)
color_sr_peking.gif 35.73MB
horse2zebra.gif 11.07MB
first_order.gif 7.42MB
mona.gif 961KB
.gitignore 1KB
ppgan.jpg 543KB
pSp-teaser.jpg 249KB
animeganv2_test.jpg 197KB
animeganv2_res.jpg 122KB
photo2cartoon_data_process.jpg 101KB
1.jpg 47KB
pSp-input.jpg 30KB
guangquan.m4a 130KB
apps.md 15KB
super_resolution.md 10KB
super_resolution.md 9KB
contribute.md 9KB
README_cn.md 8KB
README.md 8KB
video_restore.md 7KB
psgan.md 6KB
psgan.md 6KB
video_restore.md 6KB
pix2pix_cyclegan.md 4KB
pix2pix_cyclegan.md 4KB
styleganv2.md 4KB
animegan.md 4KB
animegan.md 4KB
styleganv2.md 4KB
wav2lip.md 4KB
motion_driving.md 4KB
motion_driving.md 4KB
photo2cartoon.md 3KB
wav2lip.md 3KB
photo2cartoon.md 3KB
data_prepare.md 3KB
pixel2style2pixel.md 3KB
pixel2style2pixel.md 3KB
get_started.md 3KB
data_prepare.md 2KB
get_started.md 2KB
ugatit.md 2KB
ugatit.md 2KB
install.md 1KB
install.md 1KB
face_parse.md 1KB
luckydraw.md 1KB
face_parse.md 1KB
README.md 472B
apps.md 24B
contribute.md 22B
fom_dv.mp4 2.01MB
mona7s.mp4 1.73MB
animeganv2.png 1.72MB
sr_demo.png 1.67MB
makeup_shifter.png 1.49MB
photo2cartoon.png 883KB
ugatit.png 825KB
fom_demo.png 659KB
dain_network.png 650KB
remaster_network.png 514KB
edvr_network.png 464KB
stylegan2-teaser-1024x256.png 421KB
horse2zebra.png 415KB
realsr_network.png 272KB
psgan_arc.png 266KB
deoldify_network.png 241KB
qq.png 231KB
face.png 200KB
stylegan2-sample-mixing-0.png 176KB
monarch.png 162KB
A2B.png 155KB
photo2cartoon_pipeline.png 144KB
cyclegan.png 139KB
B2A.png 125KB
face_parse_out.png 123KB
fom_source_image.png 122KB
stylegan2-sample.png 115KB
ps_source.png 105KB
ps_ref.png 99KB
pSp-toonify.png 93KB
pix2pix.png 90KB
pSp-inversion.png 86KB
pSp-input-crop.png 73KB
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hrnet.py 26KB
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trainer.py 16KB
generator_pixel2style2pixel.py 15KB
resnet_ugatit_p2c.py 13KB
makeup.py 13KB
imresize.py 12KB
generator_styleganv2.py 12KB
generator_starganv2.py 12KB
wav2lip.py 12KB
dain_predictor.py 12KB
init.py 12KB
starganv2_model.py 11KB
lesrcnn.py 11KB
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