StyleGAN
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Overview
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Only 1 active maintainer currently has merge rights.
Organization Diversity
Contributors span 17 organizations.
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About
StyleGAN is a generative adversarial network (GAN) architecture for high-quality image synthesis, developed by NVIDIA Research. It introduces style-based generator architecture that enables automatic, unsupervised separation of high-level attributes and stochastic variation in generated images, while greatly improving the state-of-the-art in terms of traditional distribution quality metrics.
First commit
Software value
$130K
License(s)
Other
Data sources
Git
GitHub