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A Style-Based Generator Architecture for Generative Adversarial Networks

Tero Karras FI

A Style-Based Generator Architecture for Generative Adversarial Networks

A short demo video for NVIDIA's StyleGAN paper, which proposes a style-based generator for GANs. It shows face synthesis with style mixing and scale-specific control over attributes like pose and freckles.

Cited as an example of how realistic GAN-generated faces had become, and of what a well-structured latent space can do.

4 Hacker News mentions · 2018–2019

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