Crowd simulation has emerged in the last decade as a widely used method of visual effects,
computer games, and urban planning, etc. The improvement of hardware performance and …

Physics simulation offers the possibility of truly responsive and realistic animation. Despite
wide adoption of physics simulation for the animation of passive phenomena, such as fluids …

Human character animation is often critical in entertainment content production, including
video games, virtual reality or fiction films. To this end, deep neural networks drive most …

We present a novel, general-purpose Model-Predictive Control (MPC) algorithm that we call
Control Particle Belief Propagation (C-PBP). C-PBP combines multimodal, gradient-free …

We present MotionExplorer, an exploratory search and analysis system for sequences of
human motion in large motion capture data collections. This special type of multivariate time …

Abstract Machine-learning based human posture-prediction tools can potentially be robust
alternatives to motion capture measurements. Existing posture-prediction approaches are …

We present a Model-Predictive Control (MPC) system for online synthesis of interactive and
physically valid character motion. Our system enables a complex (36-DOF) 3D human …

We present a data‐driven method for the real‐time synthesis of believable steering
behaviours for virtual crowds. The proposed method interlinks the input examples into a …

To facilitate natural interactions between humans and embodied conversational agents
(ECAs), we need to endow the latter with the same nonverbal cues that humans use to …

Synthesizing human motions from existing motion capture data is the approach of choice in
most applications requiring high-quality visual results. Usually to synthesize motion, short …