Scene Completion tool created at Carnegie Melon

[Jawo]

I came across this today and thought that it was incredibly cool. From the CMU website Abstract:

What can you do with a million images? In this paper we present a new image completion algorithm powered by a huge database of photographs gathered from the Web. The algorithm patches up holes in images by finding similar image regions in the database that are not only seamless but also semantically valid. Our chief insight is that while the space of images is effectively infinite, the space of semantically differentiable scenes is actually not that large. For many image completion tasks we are able to find similar scenes which contain image fragments that will convincingly complete the image. Our algorithm is entirely data-driven, requiring no annotations or labelling by the user. Unlike existing image completion methods, our algorithm can generate a diverse set of image completions and we allow users to select among them. We demonstrate the superiority of our algorithm over existing image completion approaches.

If this alogrithm is commercialized, think about the applications: never have to worry about a "bad shot" again! You should be able to fill in any unwanted sections with new data....Talk about serious Photoshopping

 

[troytime]

you can see it in action in one of the latest MS videos (from one of the tech conferences, TechED maybe?)

 

[SZLiao214]

Thats looks pretty sweet

 

[Anubis]

isnt MS working on something just like this, or is it the same thing,