codeslake/PVDNet
[TOG 2021] Official PyTorch Implementation for "Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes"
This project helps with transforming blurry video footage into clear, sharp video. It takes a blurry video as input and produces a deblurred version, making it useful for anyone working with video capture, editing, or analysis who needs to improve the visual quality of their recordings.
116 stars. No commits in the last 6 months.
Use this if you need to restore clarity to video recordings that suffer from motion blur or general lack of sharpness.
Not ideal if your primary need is to remove other types of video artifacts like noise, compression issues, or low-light grain, as this tool specifically targets blur.
Stars
116
Forks
20
Language
Python
License
AGPL-3.0
Category
Last pushed
Apr 02, 2024
Commits (30d)
0
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