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Dear Fellow Scholars, this is Two Minute Papers with Kroly Zsolnai-Fehr. As facial reenactment videos are improving at a rapid pace, it is getting easier and easier to create video impersonations of other people by transferring our gestures onto their faces. We have recently discussed a technique that is able to localize the modified regions within these videos, however, this technique was limited to human facial reenactment. That is great, but what about the more general case with manipulated photos? Well, do not worry for second, because this new learning-based algorithm can look at any image and highlight the regions that were tampered with. It can detect image splicing, which means that we take part of a different image and add it to this one. Or, copying an object and pasting it into the image elsewhere. Or, removing an object from a photo and filling in the hole with meaningful information harvested from the image. This we also refer to as image inpainting, and this is somethi
