k4yt3x/video2x

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

Generative mediaC++#machine-learning#anime4k#vulkan#realesrgan#neural-networks

2.2 Steady Magnitude out of 10. Star growth looks organic. Data as of September 18, 2026.

About the project

A C/C++ framework for video super-resolution and frame interpolation using neural networks (Anime4K, Real-ESRGAN, Real-CUGAN, RIFE) via ncnn and Vulkan. Runs on Windows and Linux with GUI, CLI, Docker image, and a Google Colab notebook.

Useful for

Upscale an old anime video from 360p to 4K with Real-CUGAN
Increase a clip's frame rate from 30 to 60 FPS using RIFE
Run upscaling in a Docker container without installing host dependencies

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

Why it’s trending

14 stars so far today, about 18 expected by the end of the day.
Over the last two days the pace is 2.4× that of the previous week and a half.

Stars per day

Bars are daily stars, the line is the usual pace. Red marks spike days.

Numbers

Total stars: 21,692
Stars in a day: 18
Forks: 1,876
Issues and pull requests: 1,387
Watchers: 193
Language: C++
License: AGPL-3.0
Latest release: 6.4.0 · January 24, 2025
Created: February 24, 2018
Last push: March 7, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

Spotted in

September 15, 2026GitHub Trending C++ today: #16, +9 stars
September 14, 2026GitHub Trending C++ today: #16, +14 stars

README badge

Paste it into your README — the badge shows the current magnitude and links to this page.

[![Seismograph](https://gitnova.dev/badge/k4yt3x/video2x.svg?lang=en)](https://gitnova.dev/en/r/k4yt3x/video2x)

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