ALGNet

Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring

Our code will be released after the paper is published

Quick Run

To test the pre-trained models Google Drive

The visual result(ALGNet-32, trained only on GoPro) Google Drive.

Citations

If our code helps your research or work, please consider citing our paper. The following is a BibTeX reference:

@inproceedings{
gao2024learning,
title={Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring},
author={Hu Gao and Bowen Ma and Ying Zhang and Jingfan Yang and Jing Yang and Depeng Dang},
booktitle={ACM Multimedia 2024},
year={2024},
}

Contact

Should you have any question, please contact two_bits@163.com