Implementation of GigaGAN (project page), new SOTA GAN out of Adobe. I may also add a few findings from lightweight gan, for further stability during training.
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StabilityAI for the sponsorship, as well as my other sponsors, for affording me the independence to open source artificial intelligence.
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🤗 Huggingface for their accelerate library
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All the maintainers at OpenClip, for their SOTA open sourced contrastive learning text-image models
@misc{https://doi.org/10.48550/arxiv.2303.05511,
url = {https://arxiv.org/abs/2303.05511},
author = {Kang, Minguk and Zhu, Jun-Yan and Zhang, Richard and Park, Jaesik and Shechtman, Eli and Paris, Sylvain and Park, Taesung},
title = {Scaling up GANs for Text-to-Image Synthesis},
publisher = {arXiv},
year = {2023},
copyright = {arXiv.org perpetual, non-exclusive license}
}
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent