Super-SloMo VS AnimeInterp

Compare Super-SloMo vs AnimeInterp and see what are their differences.

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Super-SloMo AnimeInterp
1 1
2,965 385
- -
0.0 2.0
about 1 year ago 28 days ago
Python Python
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.

Super-SloMo

Posts with mentions or reviews of Super-SloMo. We have used some of these posts to build our list of alternatives and similar projects.
  • Cop records huge crash with his bodycam.
    1 project | /r/WTF | 27 Jan 2021
    No, this is clearly based on deep training based methods. Traditional algorithms wouldn't have fucked up the text that badly. The artefacts in the video practically scream "i ran this clip thru SuperSloMo".

AnimeInterp

Posts with mentions or reviews of AnimeInterp. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Super-SloMo and AnimeInterp you can also consider the following projects:

sminterpolate - Make motion interpolated and fluid slow motion videos from the command line.

frame-interpolation - FILM: Frame Interpolation for Large Motion, In ECCV 2022.

XVFI - [ICCV 2021, Oral 3%] Official repository of XVFI

hivemind - Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

torchio - Medical imaging toolkit for deep learning

tabnet - PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

open-lpr - Open Source and Free License Plate Recognition Software

vectory - Vectory provides a collection of tools to track and compare embedding versions.

dnn.cool - A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.