KevinJ-Huang / ExposureNorm-Compensation

CVPR2022 (official implementation of "Exposure Normalization and Compensation for Multiple-Exposure Correction")

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 ([e-mail]).

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}
}