This repository is for the ECCV 2022 paper, "Event-guided Deblurring of Unknown Exposure Time Videos".
[ArXiv] [ECCV2022] [Supp] [Oral(YouTube)] [Project]
The first public event-based deblurring dataset. Our dataset contain diverse scene including real-world event using color-DAVIS camera.
You can download the raw-data(collected frame and events) from this google drive link
Also, you can download the processed data for handling unknown exposure time videos link
This code was tested with:
- pytorch 1.2.0
- CUDA 10.2
- Python 3.7
- Ubuntu 18.04 using TITAN RTX GPU
pip install -r requirements.txt
bash install.sh
python test_deblur_dvs.py --dataset 'dvs'
python train_deblur_dvs.py --dataset 'dvs' --epochs 21 --batch_size 2 \
--test_batch_size 1 --use_multigpu True
Taewoo Kim, Jeongmin Lee, Lin Wang, and Kuk-Jin Yoon" Event-guided Deblurring of Unknown Exposure Time Videos", In ECCV, 2022.
BibTeX
@article{kim2021event,
title={Event-guided Deblurring of Unknown Exposure Time Videos},
author={Kim, Taewoo and Lee, Jungmin and Wang, Lin and Yoon, Kuk-Jin},
journal={arXiv preprint arXiv:2112.06988},
year={2021}
}
If you have any question, please send an email me(intelpro@kaist.ac.kr)
The project codes and datasets can be used for research and education only.