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The official code for the paper "Investigating Intrinsic Degradation Factors by Multi-Branch Aggregation for Real-world Underwater Image Enhancement"

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MBANet

The official code for the paper "Investigating Intrinsic Degradation Factors by Multi-Branch Aggregation for Real-world Underwater Image Enhancement"

Environment Preparing

python 3.6
pytorch 1.1.0

Testing

Use the pretrained model in ./checkpoints/. Then run the script below, the results will be saved in ./result/

python predict.py
--dataroot      # The folder path of the picture you want to test
--no_dropout 
--name          # The checkpoint name
--model single
--which_direction AtoB
--dataset_mode pair
--which_model_netG _UNetGenerator
--skip 1
--self_attention
--use_norm 1
--use_wgan 0
--times_residual
--instance_norm 0
--resize_or_crop no
--which_epoch latest

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The official code for the paper "Investigating Intrinsic Degradation Factors by Multi-Branch Aggregation for Real-world Underwater Image Enhancement"

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