facebookresearch/pytorch_GAN_zoo
A PyTorch toolbox providing implementations of GAN architectures including DCGAN, Progressive Growing GAN, and StyleGAN for image synthesis.
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This repository provides reference implementations of several GAN architectures for researchers and developers. It includes DCGAN, Progressive Growing of GAN (PGAN), and StyleGAN implementations for generating images, along with auxiliary tools like AC-GAN conditioning, GDPP for diverse generation, and evaluation metrics such as Inception Score and SWD. The project supports training on standard datasets including CelebA, CelebAHQ, CIFAR10, and FashionGen.
Frequently asked
- What is facebookresearch/pytorch_GAN_zoo?
- A PyTorch toolbox providing implementations of GAN architectures including DCGAN, Progressive Growing GAN, and StyleGAN for image synthesis.
- Is pytorch_GAN_zoo open source?
- Yes — facebookresearch/pytorch_GAN_zoo is open source, released under the BSD-3-Clause license.
- What language is pytorch_GAN_zoo written in?
- facebookresearch/pytorch_GAN_zoo is primarily written in Python.
- How popular is pytorch_GAN_zoo?
- facebookresearch/pytorch_GAN_zoo has 1.6k stars on GitHub.
- Where can I find pytorch_GAN_zoo?
- facebookresearch/pytorch_GAN_zoo is on GitHub at https://github.com/facebookresearch/pytorch_GAN_zoo.