IEEE TRANSACTIONS ON CYBERNETICS code for ADFU.

1.Supplementary.pdf additional visual comparisons. 2.Code (1) data_utils.py dataprocessing file. (2) Demo.py Code for test super-resolve images. (3) model.pkl well-trained model of ADLP. (4) Model2.py Model Graph file. (5) Testdata Testing low-resolution images (6) outdir output dir of super-resolved images and bicubic images

Environments: pytorch 0.4.0; Pillow 5.0.0; scikit-image 0.13.1; torchvision 0.2.0; python 2.7; numpy 1.14.0; scipy 1.0.0; At least double GPUs.

You can simply run “python Demo.py” for testing.

Download model at https://drive.google.com/open?id=1DpNkeT8KKDBq2dIHhbIuj01Sl2eQA3_F

if you do not want to download you can see more comparisons here.