Awesome

<img src="./unet.png"></img>

UNet Stylegan2

An implementation of Stylegan2 with UNet Discriminator. This repository works largely the same way as <a href="https://github.com/lucidrains/stylegan2-pytorch">Stylegan2 Pytorch</a>. Simply replace all the stylegan2_pytorch command with unet_stylegan2 instead.

<img src="./samples/flowers.jpg"></img>

<img src="./samples/flowers-mr.jpg"></img>

Update: Results have been very good. Will need to investigate combining this with a few other techniques, and then I will write up full instructions for use.

Install

$ pip install unet-stylegan2

Usage

$ unet_stylegan2 --data ./path/to/data

Citations

@misc{karras2019analyzing,
    title={Analyzing and Improving the Image Quality of StyleGAN},
    author={Tero Karras and Samuli Laine and Miika Aittala and Janne Hellsten and Jaakko Lehtinen and Timo Aila},
    year={2019},
    eprint={1912.04958},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

@misc{schnfeld2020unet,
    title={A U-Net Based Discriminator for Generative Adversarial Networks},
    author={Edgar Schönfeld and Bernt Schiele and Anna Khoreva},
    year={2020},
    eprint={2002.12655},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}