Facebook AI scans videos of real people to turns them into game characters
To train Pose2Pose system, the researchers used real videos of a tennis player, a person swinging sword indoors, and a person walking.
Facebook has developed an artificial intelligence system that is capable of making your favourite friends from real-world turn into playable characters of a game.
The system, called Pose2Pose is a framework that uses the references from the real-world videos to build novel image sequences for a virtual character that can be controlled using joystick or keyboard, Venture Beat reports.
To train the system, the researchers used real videos of a tennis player, a person swinging sword indoors, and a person walking. Using the reference, the system was able to successfully produce dynamic elements such as varied camera angle and character clothing.
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The researchers believe the Pose2Pose can pave way for a new generation of video games with realistic graphics.
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