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Exposure Normalization and Compensation for Multiple-Exposure Correction (CVPR 2022)
Jie Huang, Yajing Liu, Xueyang Fu, Man Zhou, Yang Wang, Feng Zhao*, Zhiwei Xiong *Corresponding Author
University of Science and Technology of China (USTC)
Introduction
This repository is the official implementation of the paper, "Exposure Normalization and Compensation for Multiple-Exposure Correction", where more implementation details are presented.
0. Hyper-Parameters setting
Overall, most parameters can be set in options/train/train_Enhance_MSEC.yml or options/train/train_Enhance_SICE.yml
1. Dataset Preparation
Create a .txt file to put the path of the dataset using
python create_txt.py
2. Training
python train.py --opt options/train/train_Enhance_MSEC.yml or train_Enhance_SICE.yml
3. Inference
set is_training in "options/train/train_Enhance_MSEC.yml or train_Enhance_SICE.yml" as False set the val:filelist as the validation set.
then
python train.py --opt options/train/train_Enhance_MSEC.yml or train_Enhance_SICE.yml
Dataset
MSEC dataset (please refer to https://github.com/mahmoudnafifi/Exposure_Correction)
SICE dataset (I have uploaded it to https://share.weiyun.com/C2aJ1Cti)
Ours Results
Results on MSEC dataset (I have uploaded it to https://share.weiyun.com/hDZQ0ISP)
Results on SICE dataset (I have uploaded it to https://share.weiyun.com/IDBVO5RO)
Contact
If you have any problem with the released code, please do not hesitate to contact me by email (hj0117@mail.ustc.edu.cn).
Cite
@inproceedings{huang2022exposure,
title={Exposure Normalization and Compensation for Multiple-Exposure Correction},
author={Huang, Jie and Liu, Yajing and Fu, Xueyang and Zhou, Man and Wang, Yang and Zhao, Feng and Xiong, Zhiwei},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={6043--6052},
year={2022}
}