Skip to content

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

License

Notifications You must be signed in to change notification settings

kilowat/colorization

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

46 Commits
 
 
 
 
 
 

Repository files navigation

Colorful Image Colorization
Richard Zhang, Phillip Isola, Alexei A. Efros
In arXiv, 2016
Project Page

Teaser Image

We include demo usage as an iPython notebook, under ./demo/colorization_demo_v0.ipynb. Clone the master branch of the respository using git clone -b master --single-branch https://github.com/richzhang/colorization.git, cd into the demo directory, run ipython notebook and open colorization_demo_v0.ipynb in your web browser.

This demo code requires a working installation of Caffe and basic Python libraries (numpy, pyplot, skimage, scipy). For guidelines and help with installation of Caffe, consult the installation guide and Caffe users group.

Should you wish to share your colorizations with us, please email Richard Zhang with subject "MyColorization" at [email protected]. Also contact Richard for any questions or comments. If you find this model useful for your resesarch, please use this bibtex to cite.

About

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

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%