StyleGAN3 (2021)

• Project page: https://nvlabs.github.io/stylegan3
• ArXiv: https://arxiv.org/abs/2106.12423

• PyTorch implementation: https://github.com/NVlabs/stylegan3

  StyleGAN2-ADA (2020)

• ArXiv: https://arxiv.org/abs/2006.06676

• PyTorch implementation: https://github.com/NVlabs/stylegan2-ada-pytorch
• TensorFlow implementation: https://github.com/NVlabs/stylegan2-ada

• MetFaces dataset: https://github.com/NVlabs/metfaces-dataset

  StyleGAN2 (2019)

• ArXiv: https://arxiv.org/abs/1912.04958

• Video: https://youtu.be/c-NJtV9Jvp0

• TensorFlow implementation: https://github.com/NVlabs/stylegan2

  StyleGAN (2018)

• ArXiv: https://arxiv.org/abs/1812.04948

• Video: https://youtu.be/kSLJriaOumA
• TensorFlow implementation: https://github.com/NVlabs/stylegan
• FFHQ dataset: https://github.com/NVlabs/ffhq-dataset

https://www.coursera.org/learn/build-better-generative-adversarial-networks-gans

stylegan

https://github.com/yuuho/stylegans-pytorch
https://github.com/NVlabs/stylegan
https://github.com/rosinality/style-based-gan-pytorch
https://github.com/huangzh13/StyleGAN.pytorch
https://www.gwern.net/Faces#why-dont-gans-work

Progressive GAN (2017)

• ArXiv: https://arxiv.org/abs/1710.10196
• Video: https://youtu.be/G06dEcZ-QTg
• TensorFlow implementation:
  https://github.com/tkarras/progressive_growing_of_gans
• https://github.com/nashory/pggan-pytorch
• https://github.com/github-pengge/PyTorch-progressive_growing_of_gans
• https://github.com/MSC-BUAA/Keras-progressive_growing_of_gans
• Theano implementation:
  https://github.com/tkarras/progressive_growing_of_gans/tree/original-theano-version
• CelebA-HQ dataset:
  https://github.com/tkarras/progressive_growing_of_gans#preparing-datasets-for-training

https://nvlabs.github.io/stylegan2/versions.html

GAN course

https://www.coursera.org/learn/apply-generative-adversarial-networks-gans
https://www.coursera.org/learn/build-basic-generative-adversarial-networks-gans#syllabus
https://www.coursera.org/lecture/build-better-generative-adversarial-networks-gans/conclusion-of-course-2-3h270