Implementation of GigaGAN in pytorch.zip

# GigaGAN <img src="assets/Text2img.png" width="600px"></img> > 1B-parameter GigaGAN, achieving lower FID than Stable Diffusion v1.5, DALL·E 2, and Parti-750M. Please reference: https://doi.org/10.48550/arxiv.2303.05511 ## GigaGAN generator <img src="assets/G_architecture.jpg" width="600px"></img> ## GigaGAN discriminator <img src="assets/D_architecture.jpg" width="500px"></img> ## GigaGAN Implementation of <a href="https://arxiv.org/abs/2303.05511">GigaGAN</a> <a href="https://mingukkang.github.io/GigaGAN/">(project page)</a>, new SOTA GAN out of Stable Diffusion v1.5, DALL·E 2. ## Citations ```bibtex @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} } ```