junyanz/interactive-deep-colorization
Deep learning software for colorizing black and white images with a few clicks. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3404
- days_rel: n/a
- days_push: 1496
- n_releases_24m: 0
Adoption not part of the score
2692 stars · 446 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A deep learning application for interactively colorizing black and white images with user-guided hints, based on the SIGGRAPH 2017 paper 'Real-Time User-Guided Image Colorization with Learned Deep Priors'. It provides both a full Qt GUI demo and a barebones iPython notebook demo, with Caffe and PyTorch backends.
Use cases
- colorize black and white photos with a few clicks
- add color hints to grayscale images interactively
- restore color to old family photographs
- experiment with user-guided deep colorization models
- run the local hints network colorization demo
- try global hints based image colorization
When to choose
- you need interactive, user-guided colorization rather than fully automatic colorization
- you want to reproduce or build on the SIGGRAPH 2017 colorization research
- you have a CUDA GPU or are okay with slower CPU inference
- you want a research-grade tool with both GUI and notebook interfaces
When to avoid
- you need a maintained production tool with modern dependency support
- you want fully automatic batch colorization without user hints
- you cannot install legacy Caffe or old PyTorch versions
- you need a simple library API rather than a demo application
Facets
application · maturity maintenance
image-processing machine-learning deep-learning gui computer-vision image-processing deep-learning machine-learning windows python colorization interactive caffe pytorch research siggraph user-guided-colorization linux macos gpu
1 source
- readme: https://github.com/junyanz/interactive-deep-colorization · fetched 2026-08-28 · cc2c71de409f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| junyanz/interactive-deep-colorization | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="junyanz/interactive-deep-colorization")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem