/ALEN

ALEN: A Dual-Approach for Uniform and Non-Uniform Low-Light Image Enhancement

Overview

Official PyTorch implementation of ALEN: A Dual-Approach for Uniform and Non-Uniform Low-Light Image Enhancement. This paper is currently under review in the International Journal of Computer Vision.

ALEN Architecture

Project Status

The project is currently in preparation for release. We are finalizing the codebase and documentation, and the repository will be made public shortly.

Dataset

You can use the Diverse Illumination Scene (DIS) dataset, an unpaired real-world low-light dataset, which we used for quantitative and qualitative evaluations. Download it here:

DIS Dataset

Citation

If this work contributes to your research, we would appreciate it if you could cite our paper, which is currently a preprint awaiting official publication:

@article{perez2024alen,
  title={ALEN: A Dual-Approach for Uniform and Non-Uniform Low-Light Image Enhancement},
  author={Perez-Zarate, Ezequiel and Ramos-Soto, Oscar and Oliva, Diego and Perez-Cisneros, Marco},
  journal={arXiv preprint arXiv:2407.19708},
  year={2024}
}