# SVFR

> Open-source AI framework for video face restoration and colorization

SVFR is an AI model developed by Xiamen University and Tencent Youtu Lab designed for blind video face restoration. It enhances low-quality, blurry, or vintage face footage and provides colorization without introducing temporal flickering.

Website: https://huggingface.co/fffiloni/SVFR-demo

## What it is for

- Restore blurry and degraded facial details in archive video footage
- Colorize black-and-white videos featuring faces
- Inpaint damaged or occluded facial regions across video frames

## Features

- Blind face restoration (BFR) for video
- Video face colorization
- Combined restoration and colorization pipeline
- Temporal consistency to prevent flickering across frames
- Interactive Gradio web demo interface

## Pricing

Open source. Free and open source

## Details

- Type: AI model
- Category: [AI](https://xiry.app/topics/ai.md)
- Open source: yes
- Platforms: Web
- For: Video editors, archivists, and AI researchers working with vintage footage
- Alternative to: CodeFormer, GFPGAN
- Tags: face restoration, video enhancement, colorization, huggingface, open source

## Why it was saved

- [@nathanhodgson.ai, 30 April 2025](https://www.instagram.com/reel/DJFSnUpC63G/): Restores, sharpens, and colorizes blurry or vintage video footage without temporal flickering.

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Updated 3 October 2026. Page: https://xiry.app/resources/svfr

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