Karras et al. : Alias-Free Generative Adversarial Networks

https://nvlabs.github.io/stylegan3/
Advances in Neural Information Processing Systems, 34（ 2021）

Yingtao Tian（Google Brain Tokyo）

※本記事のPDFは情報処理学会電子図書館に掲載されており、情報処理学会会員は無料で閲覧できます。（http://id.nii.ac.jp/1001/00190378/）

A line of state-of-the-art GAN for generating Images

　The work we introduce in this article, also called StyleGAN3[1], is a generative adversarial network (GAN) that is capable of producing images with very high quality. As one can see the authors' example in animation: https://nvlabs.github.io/stylegan3/, high resolution images of different genres could be successfully generated by the proposed model, while mitigating the issues in previous models which are already amazing.