interactive-deep-colorization VS arXiv2021-RIFE

Compare interactive-deep-colorization vs arXiv2021-RIFE and see what are their differences.

arXiv2021-RIFE

Real-Time Intermediate Flow Estimation for Video Frame Interpolation [Moved to: https://github.com/hzwer/ECCV2022-RIFE] (by hzwer)
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interactive-deep-colorization arXiv2021-RIFE
1 21
2,697 2,558
0.0% -
0.0 7.9
over 2 years ago over 2 years ago
Python Python
MIT License MIT License
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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.

arXiv2021-RIFE

Posts with mentions or reviews of arXiv2021-RIFE. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-22.

What are some alternatives?

When comparing interactive-deep-colorization and arXiv2021-RIFE you can also consider the following projects:

Awesome-Image-Colorization - :books: A collection of Deep Learning based Image Colorization and Video Colorization papers.

DAIN - Depth-Aware Video Frame Interpolation (CVPR 2019)

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

Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

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

vapoursynth-mvtools - Motion compensation and stuff

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