https://github.com/NVIDIA/pix2pixHD

2048x1024 image synthesis and mainpulation with conditional GANs

pix2pixHD

[Project] [Youtube] [Paper]

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic image-to-image translation. It can be used for 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
Ting-Chun Wang¹, Ming-Yu Liu¹, Jun-Yan Zhu², Andrew Tao¹, Jan Kautz¹, Bryan Catanzaro^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.
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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}
}