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david-gpu
Author here -- first time submitting anything to HN. Please let me know if you have any suggestions.
methyl
would love to see some non-faces examples
david-gpu
It's on the way. That particular network was trained with a face dataset.
zepolen
Holy shit, Enhance is actually possible!
mungoman2
But only usable if you want to catch the wrong person.
Senji
Next step: Require photos from multiple angles of all your citizens. Feed into database.
simple10
Impressive! Would be great to see more examples.
goldenkey
It would be more impressive to see the variety of features that could be the image in question. 16 possibilities if I am correct.
david-gpu
Sorry, I don't understand. What sort of features are you thinking about? And why only 16 possibilities? There's a nearly infinite number of ways in which the average of 4x4 pixels can be a particular value.
yummybear
Have you tried using it on surveillance photos (such as police requesting citizens help). These are often of poor quality.
david-gpu
I have not done that yet, but that was basically my original motivation. The main difficulty would be obtaining a good dataset for training, specifically a dataset where most of the faces are not looking straight ahead at the camera, and where the camera is located above eye level as would be the case in a typical security camera.
toisanji
from movies and classifier that looks through images.
jones1618
Fantastic result!

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.