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Bilateral Event Mining and Complementary for Event Stream Super-Resolution

Official PyTorch Implementation of the BMCNet (CVPR 2024 Oral 🔥).

Bilateral Event Mining and Complementary for Event Stream Super-Resolution

<p align="left"> <img src="models/BMCNet.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.

@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}
}

Contact

If you have any problem about the released code, please contact me with email (liangqm5@mail2.sysu.edu.cn).