Tag: StyleGAN3

AI Machine Learning & Data Science Research

NVIDIA’s StyleGAN3 Is Fully Equivariant to Translation and Rotation, Improving GAN-Based Animation Generation

A NVIDIA and Aalto University research team presents StyleGAN3, a novel generative adversarial network (GAN) architecture where the exact sub-pixel position of each feature is exclusively inherited from the underlying coarse features, enabling a more natural transformation hierarchy and advancing GAN-based animation generation.