https://github.com/jianzhnie/gigagan

Implementation of GigaGAN in pytorch
https://github.com/jianzhnie/gigagan

aigc deep-learning gan

Last synced: 16 days ago
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Implementation of GigaGAN in pytorch

• Host: GitHub
• URL: https://github.com/jianzhnie/gigagan
• Owner: jianzhnie
• License: apache-2.0
• Created: 2023-03-11T12:19:28.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-04-01T01:53:48.000Z (over 1 year ago)
• Last Synced: 2024-12-02T08:47:08.416Z (20 days ago)
• Topics: aigc, deep-learning, gan
• Language: Python
• Homepage:
• Size: 6.77 MB
• Stars: 56
• Watchers: 7
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# GigaGAN



> 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



## GigaGAN discriminator



## GigaGAN

Implementation of GigaGAN (project page), 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}

}

```