Official implementation.

• matplotlib==3.4.2
• numpy==1.19.2
• Pillow==8.4.0
• scikit_image==0.17.2
• skimage==0.0
• torch==1.7.1
• torchvision==0.8.2

synthetic dataset -- RESIDE: ITS, OTS, SOTS Dataset website:RESIDE

real-world dataset -- O-HAZE and NH-HAZE Dataset website:O-HAZE NH-HAZE

Here, we adopt FFANet and BILD for example and you can replace your own model with code/FFA/. Trained_models are available at trained_models/

Main function is at train.py. The train() function is for model training and the test() function is for model testing. Before training or testing, make sure the file path corresponds to yours.