jm12138 / gigagan-pytorch

Implementation of GigaGAN, new SOTA GAN out of Adobe

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GigaGAN - Pytorch (wip)

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.

Citations

@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}
}

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Implementation of GigaGAN, new SOTA GAN out of Adobe

License:MIT License


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Language:Python 100.0%