Progressive Growing of GANs for Improved Quality, Stability, and Variation

— Unofficial PyTorch implementation of the ICLR 2018 paper

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Contents

• Installation
• Pretrained Models
• Demo
• Benchmarks
• Tutorials
• References
• Citations

Installation

git clone https://github.com/borhanMorphy/progressive-gan.git
cd progressive-gan
pip install .

Pretrained Models

Dataset	Configuration	Resolution	Link
MNIST	mnist	32 x 32	-

References

• Official Implementation
• Paper

Citations

@article{karras2017progressive,
    title={Progressive growing of gans for improved quality, stability, and variation},
    author={Karras, Tero and Aila, Timo and Laine, Samuli and Lehtinen, Jaakko},
    journal={arXiv preprint arXiv:1710.10196},
    year={2017},
    url={https://arxiv.org/abs/1710.10196},
}