StyleGAN2
StyleGAN2
**StyleGAN2** is a generative adversarial network that builds on [StyleGAN](https://paperswithcode.com/method/stylegan) with several improvements. First, [adaptive instance normalization](https://paperswithcode.com/method/adaptive-instance-normalization) is redesigned and replaced with a normalization technique called [weight demodulation](https://paperswithcode.com/method/weight-demodulation). Secondly, an improved training scheme upon progressively growing is introduced, which achieves the same goal - training starts by focusing on low-resolution images and then progressively shifts focus to higher and higher resolutions - without changing the network topology during training. Additionally, new types of regularization like lazy regularization and [path length regularization](https://paperswithcode.com/method/path-length-regularization) are proposed.
Analyzing and Improving the Image Quality of StyleGAN
https://paperswithcode.com/paper/analyzing-and-improving-the-image-quality-of
Analyzing and Improving the Image Quality of StyleGAN