NEWS / MOVEMENT TECHNOLOGY
DeepMotion: Learn and move
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t is the aim of DeepMotion, the company founded in 2014 to develop smarter movement technology for virtual applications, to use the real world as its muse for virtual motion.
The new Generative Motion Brain uses an AI to develop motion models through trial and error—so that each iteration brings improvement By Mark Dugdale
Using the Perceptive Motion Brain platform, DeepMotion is able to capture and create accurate, natural 3D character motion from 2D video and imagery. Now, its new Generative Motion Brain is able to step in and lend the considerable weight of the company’s artificial intelligence (AI) technology to do the “heavy lifting” of simulation, according to founder and chief executive officer Kevin He. He likens the new Generative Motion Brain to “learning like a baby”, with DeepMotion’s AI developing motion models through trial and error—so that each iteration brings a new improvement. “A significant advantage of the unified platform is that both sides of the brain can feed data to the other and keep improving,” He says. “They keep learning, which is crucial for accurate motion.” >>
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APRIL 2020
The Perceptive Motion Brain tracks real-time body motion from a single camera with three-point tracking, while the new Generative Motion Brain generates ‘on-the-fly’ realistic motions for the NPC
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