Image super-resolution through deep learning – GitHub
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It would be valuable to see statistics about how well this algorithm does against the face database itself. De-rez a sample of images from the database, up-rez them and then find them in the database using face recognition. How often is the original image identified from the up-rezzed version?
It would also be interesting to see how different the up-rez results are if the original is cropped differently, shifted, slightly rotated, darkened or lightened.