# SDDGAN

**Repository Path**: tju_hfut_sym/SDDGAN

## Basic Information

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

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-12-17
- **Last Updated**: 2022-03-28

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# SDDGAN-tensorflow

Sematic-Supervised Infrared and Visible Image Fusion via Dual-Discriminator Generative Adversarial Network

This work can be applied for infrared and visible image fusion

### Framework

![image](https://user-images.githubusercontent.com/77524447/147047095-df887c96-1bd2-4fad-b3ea-d74fd1e68f24.png)

### Architecture of the generator

![image](https://user-images.githubusercontent.com/77524447/147047201-0f3d9e2c-d0d5-49bc-af3f-e790014ddada.png)

### Architecture of the discriminator

![image](https://user-images.githubusercontent.com/77524447/147047224-4538b668-2eff-4838-a82b-723e7b3b6161.png)

### If this work is helpful to you, please cite it as:
```
@article{zhou2021semantic,
  title={Semantic-supervised Infrared and Visible Image Fusion via a Dual-discriminator Generative Adversarial Network},
  author={Zhou, Huabing and Wu, Wei and Zhang, Yanduo and Ma, Jiayi and Ling, Haibin},
  journal={IEEE Transactions on Multimedia},
  year={2021},
  publisher={IEEE}
}
```


### To train:
python3 main.py

### To test:
python3 test_one_image.py

### Note:
The weight map generate method and evaluate methods are shown in 'matLab_code'. And these methods are implemented by MatLab.

This code is base on the code of FusionGAN.