Moving from a set of independent virtual worlds to an integrated network of 3D virtual worlds
or Metaverse rests on progress in four areas: immersive realism, ubiquity of access and …

Synthesizing graceful and life-like behaviors for physically simulated characters has been a
fundamental challenge in computer animation. Data-driven methods that leverage motion …

Learning the spatial-temporal structure of body movements is a fundamental problem for
character motion synthesis. In this work, we propose a novel neural network architecture …

A longstanding goal in character animation is to combine data-driven specification of
behavior with a system that can execute a similar behavior in a physical simulation, thus …

A fundamental problem in computer animation is that of realizing purposeful and realistic
human movement given a sufficiently-rich set of motion capture clips. We learn data-driven …

In this work we present a novel, robust transition generation technique that can serve as a
new tool for 3D animators, based on adversarial recurrent neural networks. The system …

We present a framework to synthesize character movements based on high level
parameters, such that the produced movements respect the manifold of human motion …

Quadruped motion includes a wide variation of gaits such as walk, pace, trot and canter, and
actions such as jumping, sitting, turning and idling. Applying existing data-driven character …

In this paper we present a learned alternative to the Motion Matching algorithm which retains
the positive properties of Motion Matching but additionally achieves the scalability of neural …

Human motion synthesis is an important problem for applications in graphics and gaming,
and even in simulation environments for robotics. Existing methods require accurate motion …