Make-magic / AHDRNet-1

Attention-guided Network for Ghost-free High Dynamic Range Imaging

AHDRNet

Attention-guided Network for Ghost-free High Dynamic Range Imaging (AHDR)

Qingsen Yan*, Dong Gong*, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian Reid, Yanning Zhang. In IEEE Conference on Compute rVision and Pattern Recognition (CVPR), 2019:1751-1760. (* Equall contribution) [Paper][Project]

Requirements

• Python 2.7
• PyTorch 0.3.1 (tested with 0.3.1)
• MATLAB (for data preparation)

Usage

Testing

1. Install this repository and the required packages. A pretrained model is in ./trained-model.
2. Prepare dataset.
   1. Download dataset.
   2. Move the dataset into ./dataset.
   3. Processed dataset can be obtained by running the corresponding script in ./matlab_script (To be added).
3. Run python script_testing.py files.

Training

Training code will be released later.

Examples of the Results

Examples of the Estimated Attention Maps

Citation

If you use this code for your research, please cite our paper.

@article{yan2019attention,
  title={Attention-guided Network for Ghost-free High Dynamic Range Imaging},
  author={Yan, Qingsen and Gong, Dong and Shi, Qinfeng and Hengel, Anton van den and Shen, Chunhua and Reid, Ian and Zhang, Yanning},
  journal={IEEE Conference on Compute rVision and Pattern Recognition (CVPR)},
  year={2019}
  pages={1751-1760}
}