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According to Engadget (This article and its images were originally posted on Engadget December 3, 2018 at 08:03AM.)
Attendees of this year’s NeurIPS AI conference in Montreal can spend a few moments driving through a virtual city, courtesy of NVIDIA. While that normally wouldn’t be much to get worked up over, the simulation is fascinating because of what made it possible. With the help of some clever machine learning techniques and a handy supercomputer, NVIDIA has cooked up a way for AI to chew on existing videos and use the objects and scenery found within them to build interactive environments.
NVIDIA’s research here isn’t just a significant technical achievement; it also stands to make it easier for artists and developers to craft lifelike virtual worlds. Instead of having to meticulously design objects and people to fill a space polygon by polygon, they can use existing machine learning tools to roughly define those entities and let NVIDIA’s neural network fill in the rest.
“Neural networks — specifically generative models — will change how graphics are created,” Bryan Catanzano, NVIDIA’s vice president of applied deep learning, said in a statement. “This will enable developers, particularly in gaming and automotive, to create scenes at a fraction of the traditional cost.”
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