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Searching a Compact Architecture for Robust Multi-Exposure Image Fusion (IEEE TCSVT 24)

Shell 0.01% C++ 16.92% Python 66.05% C 2.85% Cuda 14.17%

crmef's Introduction

CRMEF

Searching a Compact Architecture for Robust Multi-Exposure Image Fusion

Preview of CRMEF


preview

General MEF

General.png

Misalgined MEF

Misaligned.png

Set Up on Your Own Machine

Virtual Environment

  • pytorch 1.2

Test / Train

# Test: use given example and save fused color images to result/SICE
# If you want to test the custom data, please modify the file path in 'test.py'
python test_single.py

# if you want to test the alignment
cd DCNv2
sh make.sh
python test_align.py

# Train: 
python train.py

Citation

If this work has been helpful to you, we would appreciate it if you could cite our paper!

@article{liu2023embracing,
  title={Searching a Compact Architecture for Robust Multi-Exposure Image Fusion},
  author={Liu, Zhu and Liu, Jinyuan and Wu, Guanyao and Chen, Zihang and Fan, Xin and Liu, Risheng},
  journal={IEEE TCSVT},
  year={2024}
}

crmef's People

Contributors

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Stargazers

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