# PAPIF

**Repository Path**: qazYP/PAPIF

## Basic Information

- **Project Name**: PAPIF
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-03-13
- **Last Updated**: 2025-03-13

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# PAPIF
Code of Attention-guided Polarization Image Fusion Using Salient Information Distribution

## Fused results:
![](./figs/car.jpg)
![](./figs/box.jpg)
![](./figs/build1.jpg)


## To train:
```python
python train.py
```

## To test:
```python
python test.py
```

## Tips:
### For training:
* [Training dataset](https://github.com/ymonno/EARI-Polarization-Demosaicking)
* The pre-trained model is provided in the "model" folder.

## If this work is helpful to you, please cite it as:
```
@article{xu2022attention,
  title={Attention-Guided Polarization Image Fusion Using Salient Information Distribution},
  author={Xu, Han and Sun, Yucheng and Mei, Xiaoguang and Tian, Xin and Ma, Jiayi},
  journal={IEEE Transactions on Computational Imaging},
  volume={8},
  pages={1117--1130},
  year={2022},
  publisher={IEEE}
}
```

If you have any question, please email to me (ycsunner@gmail.com).