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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},
}

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