junyanz/interactive-deep-colorization
An interactive deep learning tool for colorizing black and white images using learned priors and user-guided local hints.
Not currently ranked — collecting fresh signals.
star history
This research project implements a deep learning system for image colorization, originally built on Caffe and later ported to PyTorch. It provides both a standalone algorithm and an interactive GUI where users can guide the colorization process through local hints. The system was published at SIGGRAPH 2017 and represents a practical application of computer vision and deep learning to automatic colorization tasks.
Frequently asked
- What is junyanz/interactive-deep-colorization?
- An interactive deep learning tool for colorizing black and white images using learned priors and user-guided local hints.
- Is interactive-deep-colorization open source?
- Yes — junyanz/interactive-deep-colorization is open source, released under the MIT license.
- What language is interactive-deep-colorization written in?
- junyanz/interactive-deep-colorization is primarily written in Python.
- How popular is interactive-deep-colorization?
- junyanz/interactive-deep-colorization has 2.7k stars on GitHub.
- Where can I find interactive-deep-colorization?
- junyanz/interactive-deep-colorization is on GitHub at https://github.com/junyanz/interactive-deep-colorization.