a collection of generative adversarial networks implemented in TensorFlow
Models
StyleGAN: (A Style-Based Generator Architecture for Generative Adversarial Networks)
Citations
@misc{kim2019ugatit,
title={U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation},
author={Junho Kim and Minjae Kim and Hyeonwoo Kang and Kwanghee Lee},
year={2019},
eprint={1907.10830},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
@inproceedings{karras2019style,
title={A style-based generator architecture for generative adversarial networks},
author={Karras, Tero and Laine, Samuli and Aila, Timo},
booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
pages={4401--4410},
year={2019}
}
@misc{2017cans,
author = {Phillip Kravtsov and Phillip Kuznetsov},
title = {Creative Adversarial Networks},
year = {2017},
howpublished = {\url{https://github.com/mlberkeley/Creative-Adversarial-Networks}},
note = {commit xxxxxxx}
}