AI has learned to turn two dimensional images into three-dimensional objects
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Almost anyone is not difficult, looking at a simple pattern, build associative array, and to understand that, say, a two-dimensional square with a triangle on top represents a house, and the circle above him — is the sun. Computers therefore can not boast. However, according to Sciencemag, a group of researchers created a new algorithm that can recognize two-dimensional images and translate them into 3D.
The New algorithm has already passed successfully a series of tests and was called SurfNet. In the course of its development at the first stage, the experts «taught» neural network to convert the different three-dimensional images of different types of aircraft in their two-dimensional counterparts, which can be transformed back into a three-dimensional model. This allowed to formulate the basic principles of transformation and then apply them to more complex images and three-dimensional objects. This approach worked successfully in the conceptual images of people, cars and other vehicles. It is worth noting that during testing the first versions of the algorithm there was a funny incident: some drawings of aircraft, the algorithm sometimes «did» birds, and cars with a sedan transformed into a hatchback.
Developers SurfNet claim that the algorithms used in new technologies can be applied to simplify the creation of three dimensional models for systems of augmented or virtual reality and video game development. But the entertainment industry is not limited to: SurfNet can be used to produce three-dimensional maps, with the field of creation of computer interfaces and in many other areas.
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