MEF-GAN

This is the code for multi-exposure image fusion via generative adversarial networks

Architecture:

Fused results:

To train:

CUDA_VISIBLE_DEVICES=0,1 python main.py (2 GPUs are needed)

To test:

CUDA_VISIBLE_DEVICES=0 python test_main.py

Tips:

Large files should be downloaded separately, including the following files:

For training:

• Training dataset
  The code to create your own training dataset can be found here.
• vgg16 (put it in 'VGGnet/')
  

For testing:

• Trained model
  

If you have any question, please email to me (xu_han@whu.edu.cn).