3 ms·

still the problem space is greatly reduced - all we need now is a nn to detect corrupted pixels

• amelius 9y ago
  We need more than just the information where corrupted pixels are. For example, consider an image of a woman, severly blurred such that her individual fingers cannot be discerned but you can still see that it's a woman. A "learned" context-aware approach can now deduce that the "blob" that is her hand should be inpainted by fingers. A non-learned approach can't do that.
  • asfdsfggtfd 9y ago
    But the fingers it draws will be random fingers. Not her fingers.
    • LoSboccacc 9y ago
      true but it's still pretty amazing that those specific number fluctuations represent fingers (random or otherwise) without training