Official PyTorch Implementation of the CVPR 2024 Oral Paper (only 90 of the 2719 accepted papers 🔥).
Bilateral Event Mining and Complementary for Event Stream Super-Resolution
Please follow the instructions from directory generate_dataset to prepare the synthetic and real-world dataset.
Some pretrained model are in the pretrain folder.
Please check the file scripts\train_ours.sh and scripts\infer_ours.sh for training and inference.
If you find this work helpful, please consider citing our paper.
@inproceedings{huang2024bilateral,
title={Bilateral Event Mining and Complementary for Event Stream Super-Resolution},
author={Huang, Zhilin and Liang, Quanmin and Yu, Yijie and Qin, Chujun and Zheng, Xiawu and Huang, Kai and Zhou, Zikun and Yang, Wenming},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={34--43},
year={2024}
}If you have any problem about the released code, please contact me with email (liangqm5@mail2.sysu.edu.cn).