Awesome
SAVE: Protagonist Diversification with <U>S</U>tructure <U>A</U>gnostic <U>V</U>ideo <U>E</U>diting
This repository contains the official implementation of <U>SAVE: Protagonist Diversification with Structure Agnostic Video Editing</U>.
Teaser
<h4 align="center"> 🐱 A cat is roaring ➜ 🐶 A dog is < S<sub>mot</sub> > / 🐯 A tiger is < S<sub>mot</sub> > </h4> <p align="center"> <img src="assets/cat_flower/cat.gif" width="200" height="200"><img src="assets/cat_flower/Ours_dog.gif" width="200" height="200"><img src="assets/cat_flower/Ours_tiger.gif" width="200" height="200"> </p> <h4 align="center"> 😎 A man is skiing ➜ 🐻 A bear is < S<sub>mot</sub> > / 🐭 Mickey-Mouse is < S<sub>mot</sub> > </h4> <p align="center"> <img src="assets/man-skiing/man-skiing.gif" width="200" height="200"><img src="assets/man-skiing/Ours_bear.gif" width="200" height="200"><img src="assets/man-skiing/Ours_Mickey-Mouse.gif" width="200" height="200"> </p> <p align="center"> <em>SAVE reframes the video editing task as a motion inversion problem, seeking to find the motion word < S<sub>mot</sub> > in textual embedding space to well represent the motion in a source video. The video editing task can be achieved by isolating the motion from a single source video with < S<sub>mot</sub> > and then modifying the protagonist accordingly.</em> </p>Citation
@article{song2023save,
title={SAVE: Protagonist Diversification with Structure Agnostic Video Editing},
author={Yeji Song and Wonsik Shin and Junsoo Lee and Jeesoo Kim and Nojun Kwak},
year={2023},
eprint={2312.02503},
archivePrefix={arXiv},
primaryClass={cs.CV}
}