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} }