arXiv2021-RIFE VS vapoursynth-mvtools

Compare arXiv2021-RIFE vs vapoursynth-mvtools 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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arXiv2021-RIFE vapoursynth-mvtools
21 1
2,558 168
- -
7.9 0.0
almost 2 years ago over 1 year ago
Python C++
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.

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.

vapoursynth-mvtools

Posts with mentions or reviews of vapoursynth-mvtools. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-04.

What are some alternatives?

When comparing arXiv2021-RIFE and vapoursynth-mvtools you can also consider the following projects:

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

jina - ☁️ Build multimodal AI applications with cloud-native stack

ECCV2022-RIFE - ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation

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!)

3d-photo-inpainting - [CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

facenet - Face recognition using Tensorflow

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

interactive-deep-colorization - Deep learning software for colorizing black and white images with a few clicks.