# pix2pixHD
### [[Project]](https://tcwang0509.github.io/pix2pixHD/) [[Youtube]](https://youtu.be/3AIpPlzM_qs) [[Paper]](https://arxiv.org/pdf/1711.11585.pdf)
Pytorch implementation for high-resolution (e.g. 2048x1024) photorealistic image-to-image translation, for example, turning semantic label maps into photo-realistic images or synthesizing portraits from face label maps.
[High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs](https://tcwang0509.github.io/pix2pixHD/)
[Ting-Chun Wang](https://tcwang0509.github.io/)1, [Ming-Yu Liu](http://mingyuliu.net/)1, [Jun-Yan Zhu](http://people.eecs.berkeley.edu/~junyanz/)2, Andrew Tao1, [Jan Kautz](http://jankautz.com/)1, [Bryan Catanzaro](http://catanzaro.name/)1
1NVIDIA Corporation, 2UC Berkeley
In arxiv, 2017.
## Release notice
The code is ready to publish but still under final approval process. It should be approved in a couple of days.
If you want to get notified once the code is released, please subscribe [here](https://tcwang0509.github.io/pix2pixHD/subscribe.html).
## Image-to-image translation at 2k/1k resolution
- Our label-to-streetview results
- Interactive editing results
- Additional streetview results
- Label-to-face and interactive editing results
- Our editing interface
### Citation
If you find this useful for your research, please use the following.
```
@article{wang2017highres,
title={High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs},
author={Ting-Chun Wang and Ming-Yu Liu and Jun-Yan Zhu and Andrew Tao and Jan Kautz and Bryan Catanzaro},
journal={arXiv preprint arXiv:1711.11585},
year={2017}
}
```