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Wouldn't an algorithm just like this one also be able to work on really blurry (i.e. far away zommed in) photos too? Especially with a huge corpus of trained content?



In principle, yes. But real world blur is much less deterministic than pixelation algorithms, so this would limit the usefulness of this technique.


Yes adding a geometric transform for perspective would make this a number of dimensions more difficult to solve.




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