k4yt3x/video2x

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

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<img src="https://github.com/user-attachments/assets/5cd63373-e806-474f-94ec-6e04963bf90f" Video2X 6.0.0 highlights: Click to see more details Version 6.0.0 is a complete rewrite of this project in C/C++. It: Your system must meet the minimum hardware requirements below to run Video2X. Download the Latest Windows Installer Executable (6.4.0) You can download the latest Windows release on the releases page. For basic GUI usage, refer to the documentation. If you're unable to download directly from GitHub, try the mirror site. The GUI currently supports the following languages: Video2X packages are available for the Linux distros listed below. A universal AppImage is also available for other distros. If you'd like to build it from source code, refer to the PKGBUILD file for a general overview of the required dependencies and commands. Video2X container images are available on the GitHub Container Registry for easy deployment on Linux and macOS. If you already have Docker/Podman installed, only one command is needed…

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What this repository does

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

Repository facts

Owner: k4yt3x
Primary language: C++
Stars: 22,509
Forks: 1,964
Open issues + pull requests: 144
License: AGPL-3.0
Archived: No
Default branch: master
Created: 2018-02-24T16:34:41.000Z
Last push: 2026-03-07T15:39:42.000Z

Topics and intended use

Owner-supplied topics: anime4k, frame-interpolation, machine-learning, neural-networks, realcugan, realesrgan, rife, super-resoluion, upscale-video, vulkan

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