This repository contains the official implementation of BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow that has been published to the IEEE Winter Conference on Applications of Computer Vision (WACV) 2023.
requirement.txt
To train/evaluate BrightFlow or the baseline without BrightFlow, please download the required datasets:
sh script/train_baseline.sh
sh script/train_brightflow.sh
The checkpoints of trained models are available here.
sh script/eval.sh
We thank authors of RAFT, GMA, SCV and SMURF for their great work and for sharing their code.
@inproceedings{marsal2023brightflow,
title={BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow},
author={Marsal, Remi and Chabot, Florian and Loesch, Angelique and Sahbi, Hichem},
booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
pages={2061--2070},
year={2023}
}
This project is under the CeCILL license 2.1.