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k4yt3x/video2x

video2x

A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.

Builder

k4yt3x

k4yt3x

k4yt3x • individual

Stars

19,309

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Forks

1,694

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Feb 24, 2018

Project creation date

README Summary

Video2X is a machine learning-based framework for video super resolution and frame interpolation that enhances video quality by upscaling resolution and increasing frame rates. The project was established at Hack the Valley II in 2018 and is implemented primarily in C++. It leverages various AI models to improve video quality through automated processing workflows.

AI Dev Skills

Unmapped

Video Super ResolutionFrame InterpolationComputer VisionDeep Learning InferenceImage ProcessingConvolutional Neural NetworksReal-ESRGANRIFE (Real-Time Intermediate Flow Estimation)

Tags

Video Super ResolutionFrame InterpolationComputer VisionDeep Learning InferenceImage ProcessingConvolutional Neural NetworksReal-ESRGANRIFE (Real-Time Intermediate Flow Estimation)Legacy Video RestorationReal-time Video ProcessingComputer Vision EnhancementVideo Post-ProcessingFrame Rate ConversionLow-Resolution Video UpscalingSelf-hostedPractical AI ApplicationsOn-premiseVideoDesktop ApplicationImageVideo Quality EnhancementContent Creation EnhancementC++

Taxonomy

Recent Activity

Updated 1 months ago

7 Days

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30 Days

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90 Days

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Quality

beta
Quality
medium
Maturity
beta

Categories

Inference & ServingPrimaryCoding & Dev ToolsOther AI / MLComputer Vision

PM Skills

Scale & ReliabilityCost & Efficiency

Languages

C++100.0%

Timeline

Project created
Feb 24, 2018
Forked
Mar 23, 2026
Your last push
1 months ago
Upstream last push
1 months ago
Tracked since
Mar 7, 2026

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