Awesome
Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion
Official PyTorch Implementation of the IJCAI 2024 Paper:
Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion </sub><br><sub>Supp</sub><br>
<p align="left"> <img src="doc/RMFNet.png"/> <br> </p>Dataset
Please follow the instructions from directory generate_dataset
to prepare the synthetic and real-world dataset.
Pretrained model
Some pretrained model are in the pretrain
folder.
Training and Inference
Please check the file scripts\train_ours.sh
and scripts\infer_ours.sh
for training and inference.
Citation
If you find this work helpful, please consider citing our paper.
@article{liangefficient,
title={Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion},
author={Liang, Quanmin and Huang, Zhilin and Zheng, Xiawu and Yang, Feidiao and Peng, Jun and Huang, Kai and Tian, Yonghong}
}
Contact
If you have any problem about the released code, please contact me with email (liangqm5@mail2.sysu.edu.cn).