baldassarreFe/deep-koalarization

Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

49
/ 100
Emerging

This tool helps historians, archivists, or anyone with old photos bring grayscale images to life by automatically adding realistic color. You input a black and white image, and it outputs a colorized version, making historical photos more engaging and accessible. It's designed for individuals or organizations working with visual archives who want to modernize their collections.

415 stars. No commits in the last 6 months.

Use this if you need to quickly and automatically colorize a collection of grayscale photographs, especially historical images, without manual editing.

Not ideal if you require precise artistic control over specific colors or highly detailed, nuanced colorization for professional restoration, as the process is automated.

photo-restoration historical-imaging digital-archiving image-enhancement visual-content-creation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

How are scores calculated?

Stars

415

Forks

80

Language

Python

License

MIT

Last pushed

Nov 23, 2022

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/baldassarreFe/deep-koalarization"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.