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Attention-guided Global-local Adversarial Learning for Detail-preserving Multi-exposure Image Fusion

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AGAL

This is the official code for the paper "Attention-guided Global-local Adversarial Learning for Detail-preserving Multi-exposure Image Fusion"

Environment Preparing

python 3.6
pytorch 1.7.0
visdom 0.1.8.9
dominate 2.6.0

Testing

We provide some example images for testing in ./test_data/

python predict.py

Reference

If you find our work useful in your research please consider citing our paper:

@article{liu2022attention,
  title={Attention-guided Global-local Adversarial Learning for Detail-preserving Multi-exposure Image Fusion},
  author={Liu, Jinyuan and Shang, Jingjie and Liu, Risheng and Fan, Xin},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2022},
  publisher={IEEE}
}

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Attention-guided Global-local Adversarial Learning for Detail-preserving Multi-exposure Image Fusion

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