pix2pixHD
/All repositories
Overview
HEALTH SCORE
Fair*
Partial score (2/3 categories)
41out of 65
Development cadence drags the score down. Maintainer coverage helps keep it from falling further. Security & Supply Chain is unavailable, so weights were redistributed.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Fair*(41/65)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 0 days.
Bus factor
No data available. Repository has not been indexed for bus factor.
Organization Diversity
Contributors span 19 organizations.
Project Achievements
Leaderboards
About
pix2pixHD is a high-resolution image-to-image translation framework that can convert semantic label maps into photorealistic images at 2048 x 1024 resolution. It extends the original pix2pix model with improved architecture and training methods to enable generation of high-quality images with greater fidelity and resolution.
First commit
Software value
$57K
Tags
computer-graphics
computer-vision
deep-learning
deep-neural-networks
gan
generative-adversarial-network
image-to-image-translation
pix2pix
pytorch
License(s)
Other
Data sources
Git
GitHub