Deep-Exemplar-based-Video-Colorization
The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
Colorize old videos by applying deep learning techniques to enhance their appearance.
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Free · no card · unsubscribe anytimeThe source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
Deep-Exemplar-based-Video-Colorization has 371 stars on GitHub. It has been forked 88 times. Deep-Exemplar-based-Video-Colorization is written mainly in Python. It has been in active development since 2020. Deep-Exemplar-based-Video-Colorization is available under the MIT license. Its main topics are colorization, computer-vision, deep-learning, gan.
What is Deep-Exemplar-based-Video-Colorization?
The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
Is Deep-Exemplar-based-Video-Colorization open source?
Deep-Exemplar-based-Video-Colorization is an open-source project. It is released under the MIT license.
Is Deep-Exemplar-based-Video-Colorization free?
Yes. Deep-Exemplar-based-Video-Colorization is free and open source — you can use, modify and self-host it.
What license does Deep-Exemplar-based-Video-Colorization use?
Deep-Exemplar-based-Video-Colorization is available under the MIT license.
What language is Deep-Exemplar-based-Video-Colorization written in?
Deep-Exemplar-based-Video-Colorization is written mainly in Python.
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