StyleGAN3
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Overview
HEALTH SCORE
Critical*
Partial score (2/3 categories)
14out of 65
Development cadence is the primary crisis signal. Maintainer coverage shows little to offset it. Every health signal is at or near zero. Security & Supply Chain is unavailable, so weights were redistributed.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Critical*(14/65)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 108 days, but most repositories have response times over 90 days.
Bus factor
No data available. Repository has not been indexed for bus factor.
Organization Diversity
Contributors span 17 organizations.
Project Achievements
Leaderboards
About
StyleGAN3 is a deep learning model for high-quality image synthesis that improves upon previous StyleGAN versions by eliminating unwanted image distortions and aliasing effects. It introduces an alias-free generator architecture that enables better quality and more precise control over image generation.
First commit
Software value
$321K
License(s)
Other
Links
Data sources
Git
GitHub