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Yutian Chen, Shi Guo, Fangzheng Yu, Feng Zhang, Jinwei Gu, Tianfan Xue
This implementation based on BasicSR which is a open source toolbox for image/video restoration tasks.
git clone https://github.com/OpenImagingLab/emm.git
cd emm
pip install -r requirements.txt
python setup.py develop --no_cuda_ext
Refer to the REAME.md for instructions on preparing training data. We also provide a mini batch of train set and real-captured test set on Google Drive as an example.
To train the EMM model:
# Modify the dataroot options/train.yml
bash train.sh
To test the EMM model with real-captured video:
# Modify the dataroot and the temporal filter parameters in options/train.yml
bash test.sh
@article{chen2024eventbased,
title={Event-Based Motion Magnification},
author={Yutian Chen and Shi Guo and Fangzheng Yu and Feng Zhang and Jinwei Gu and Tianfan Xue},
journal={arXiv preprint arXiv:2402.11957},
year={2024}
}