The Null Device

Scene Completion Using Millions of Photographs

This is pretty impressive; a new algorithm that, when presented with a photograph with a hole cut out of it, searches a database of millions of other photographs, presents the user with a menu of similar-looking images to select from, and then composites elements of the chosen image to fill the hole seamlessly, producing an image which (in most cases) looks semantically coherent. Most impressively, it is entirely data-driven, and does not require any human-generated annotations of test data:
It uses mathematical properties of the images to make the match, and sometimes ends up serendipitously picking other images from the same location (because two photographs of, say, the Taj Mahal taken on a sunny mid-afternoon are likely to share similar properties).

Of course, it is possible to use such a tool creatively, replacing unwanted parts of an image with elements from a completely different scene, as the paper (PDF here shows:

There are no comments yet on "Scene Completion Using Millions of Photographs"

Want to say something? Do so here.

Post pseudonymously

Display name:
URL:(optional)
To prove that you are not a bot, please enter the text in the image into the field below it.

Your Comment:

Please keep comments on topic and to the point. Inappropriate comments may be deleted.

Note that markup is stripped from comments; URLs will be automatically converted into links.