satoshiiizuka/siggraph2016_colorization
Code for the paper 'Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification'. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3787
- days_rel: n/a
- days_push: 1543
- n_releases_24m: 0
Adoption not part of the score
2142 stars · 294 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A Torch7 implementation of the SIGGRAPH 2016 paper 'Let there be Color!' that automatically colorizes grayscale images using a deep network combining global and local image priors. It ships as a Lua script with a pretrained model trained on the Places dataset.
Use cases
- colorize old black and white photos
- automatically add color to grayscale images
- restore color to historical photographs
- convert monochrome images to realistic color
- research baseline for image colorization
When to choose
- you need automatic colorization of grayscale photos, especially natural outdoor scenes
- you want to reproduce or build on the SIGGRAPH 2016 colorization paper
- you have a Torch7 environment available
When to avoid
- you need a maintained tool with modern framework support (Torch7 is deprecated)
- you need commercial use (CC BY-NC-SA license)
- you need reliable colorization of large images or non-natural scenes
Facets
application · maturity maintenance
image-processing machine-learning deep-learning image-processing computer-vision artificial-intelligence cli colorization torch7 research-code grayscale-to-color siggraph-2016 linux macos
1 source
- readme: https://github.com/satoshiiizuka/siggraph2016_colorization · fetched 2026-08-28 · bc50094b0e5e
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| satoshiiizuka/siggraph2016_colorization | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="satoshiiizuka/siggraph2016_colorization")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem