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Dear Fellow Scholars, this is Two Minute Papers with Kroly Zsolnai-Fehr. This paper is from 2007, from ten years ago and I am sure youll be surprised by how well it is still holding up to todays standards. For me, it was one of the works that foreshadowed the incredible power of data-driven learning algorithms. So, lets grab an image, and cut a sizeable part out of it, and try to algorithmically fill it with data that makes sense. Removing a drunk photobombing friend from your wedding picture, or a building blocking a beautiful view to the sea are excellent, and honestly, painfully real examples of this. This problem we like to call image completion or image inpainting. But mathematically, this may sound like crazy talk, who really knows what information should be there in these holes, let alone a computer? The first question is, why would we have to synthesize all these missing details from scratch? Why not start looking around in an enormous database of photographs and look for
