[San Mateo, CA] – DeepMotion, the industry leader in AI motion capture, has partnered with the team from In3D to bring you truly alive 3D avatars. In3D, known for their 3D scanning app, is doing a soft launch of their new Avaturn platform, allowing users to create realistic digital twin avatars
Tag: Character Simulation
By DeepMotion Artist, Tristan Liu
At the foundation of intelligent simulation is a physics-based character model. We call this model our Simulation Rig (or SimRig), which, when configured to a character asset, transforms a typical 3D file into a digital, biomechanical body. The SimRig maps physical attributes to the character
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.
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