Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
Generate high-quality images using advanced AI techniques based on a decade of research in generative models.
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gigagan-pytorch has 1.9k stars on GitHub. It has been forked 107 times. gigagan-pytorch is written mainly in Python. It has been in active development since 2023. gigagan-pytorch is available under the MIT license. Its main topics are artificial-intelligence, deep-learning, generative-adversarial-network.
Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs
gigagan-pytorch is an open-source project. It is released under the MIT license.
Yes. gigagan-pytorch is free and open source — you can use, modify and self-host it.
gigagan-pytorch is available under the MIT license.
gigagan-pytorch is written mainly in Python.
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