DeepMotion’s Motion Brain transforms your digital characters from animated to alive, but it’s no easy feat. The new generative Motion Brain requires massive computing power to run our deep reinforcement algorithms. By partnering with Intel, we are able to reduce our development time and required resources, while empowering
Tag: Deep Learning
Our demos are often designed to show how intelligent simulation can synthesize even the most complex physical skills—from creating digital Basketball players to simulated stunt men. However, our most recent experiment focuses on simulating something more subtle: body language. Specifically, argumentative gesturing in a multi-character scenario.
Each of the
Physical character interaction is hard to fake–whether it’s between two in-world characters, between users and characters, or between a character or avatar and its environmental surroundings. Nevertheless, interaction is central to user-driven storytelling and building immersive VR and AR experiences that suspend disbelief.
DeepMotion Neuron, the company’s new cloud application for training motion skills to digital characters, leverages cutting-edge AI and physical simulation techniques to create lifelike, responsive actors, as shown in new SIGGRAPH paper.
REDWOOD CITY, CA – August 8, 2018 – DeepMotion, a pioneer in the field of Motion Intelligence, announced today
Researchers from DeepMotion and CMU have taught virtual basketball players entirely physically simulated dribbling skills.
Top tier Basketball players exhibit powerful upper body dexterity, lower body agility, and mastery of ball coordination. When training physically simulated characters basketball skills, these competing talents must also be held in balance. While AAA