Tools
Latest Building Stylegan In Pytorch: From Theory To Code 2025
This article breaks down StyleGAN from first principles, starting with ProGAN and its black-box latent space. It explains mapping from z to w, AdaIN-based style modulation, noise injection, learned constant input, and style mixing. Then it walks through a full PyTorch implementation using CelebA-HQ, covering dataset setup, generator, discriminator, and training loop.
Source: HackerNoon
