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[ICML'23] StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis
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This repository will contain code for our paper "StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis".
Code coming soon.
If you find our paper useful, please cite
@InProceedings{Sauer2023ARXIV,
author = {Axel Sauer and Tero Karras and Samuli Laine and Andreas Geiger and Timo Aila},
title = {StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis},
journal = {arXiv.org},
volume = {abs/2301.09515},
year = {2023},
url = {https://arxiv.org/abs/2301.09515},
}