interactive-deep-colorization VS Awesome-Image-Colorization

Compare interactive-deep-colorization vs Awesome-Image-Colorization and see what are their differences.

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interactive-deep-colorization Awesome-Image-Colorization
1 1
2,697 1,053
0.0% 1.7%
0.0 6.8
over 2 years ago 21 days ago
Python
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

interactive-deep-colorization

Posts with mentions or reviews of interactive-deep-colorization. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-22.

Awesome-Image-Colorization

Posts with mentions or reviews of Awesome-Image-Colorization. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing interactive-deep-colorization and Awesome-Image-Colorization you can also consider the following projects:

colorization - Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

best_AI_papers_2022 - A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.

DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)

awesome-nord - This repository contains community-created ports and themes of this color palette for all our beloved applications.

arXiv2021-RIFE - Real-Time Intermediate Flow Estimation for Video Frame Interpolation [Moved to: https://github.com/hzwer/ECCV2022-RIFE]

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