Region-Aware Exposure Consistency Network for Mixed Exposure Correction (AAAI 2024)

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1. Introduction

This repository is the official implementation of the RECNet, where more implementation details are presented.

2. Requirements

python=3.8.16
pytorch=2.0.1
torchvision=0.8
cuda=11.7
opencv-python

3. Dataset Preparation

Refer to ENC for details.

4. Testing

bash scripts/test.sh

5. Training

bash scripts/train.sh

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Citation

If you find this work useful for your research, please consider citing:

@inproceedings{DBLP:conf/aaai/LiuFWM24,
  author       = {Jin Liu and
                  Huiyuan Fu and
                  Chuanming Wang and
                  Huadong Ma},
  editor       = {Michael J. Wooldridge and
                  Jennifer G. Dy and
                  Sriraam Natarajan},
  title        = {Region-Aware Exposure Consistency Network for Mixed Exposure Correction},
  booktitle    = {Thirty-Eighth {AAAI} Conference on Artificial Intelligence, {AAAI}
                  2024, Thirty-Sixth Conference on Innovative Applications of Artificial
                  Intelligence, {IAAI} 2024, Fourteenth Symposium on Educational Advances
                  in Artificial Intelligence, {EAAI} 2014, February 20-27, 2024, Vancouver,
                  Canada},
  pages        = {3648--3656},
  publisher    = {{AAAI} Press},
  year         = {2024},
  url          = {https://doi.org/10.1609/aaai.v38i4.28154},
  doi          = {10.1609/AAAI.V38I4.28154}
}

Acknowledgements

This repository is based on ENC - special thanks to their code!

RECNet

Install / Use

README