IN

compphoto/Intrinsic

Repo for the papers "Intrinsic Image Decomposition via Ordinal Shading" (TOG 2023) and "Colorful Diffuse Intrinsic Image Decomposition in the Wild" (TOG 2024)

345 22 +0/wk
GitHub
computer-graphics computer-vision image-processing intrinsic-decomposition inverse-rendering machine-learning multi-illumination
Trend 3

Star & Fork Trend (26 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

compphoto/Intrinsic has +0 stars this period . 7-day velocity: 0.3%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric Intrinsic RL-Theory-book visionscript Stirrup
Stars 345 345345345
Forks 22 211935
Weekly Growth +0 +1+0+0
Language Python TeXPythonPython
Sources 1 111
License NOASSERTION N/AMITMIT

Capability Radar vs RL-Theory-book

Intrinsic
RL-Theory-book
Maintenance Activity 100

Last code push 6 days ago.

Community Engagement 32

Fork-to-star ratio: 6.4%. Lower fork ratio may indicate passive usage.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 30

No clear license detected — proceed with caution.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.