A human 3D avatar is one of the important elements in the metaverse, and the modeling
effect directly affects people's visual experience. However, the human body has a complex …

We propose an end-to-end deep-learning approach for automatic rigging and retargeting of
3D models of human faces in the wild. Our approach, called Neural Face Rigging (NFR) …

Coordinate based implicit neural representations have gained rapid popularity in recent
years as they have been successfully used in image geometry and scene modeling tasks. In …

Facial animation on computationally weak systems is still mostly dependent on linear
blendshape models. However, these models suffer from typical artifacts such as loss of …

In this paper, we present a simulation and control framework for generating biomechanically
plausible motion for muscle-actuated characters. We incorporate a fatigue dynamics model …

3D facial animation is often produced by manipulating facial deformation models (or rigs),
that are traditionally parameterized by expression controls. A key component that is usually …

Anisotropic hyperelastic distortion energies are used to solve many problems in fields like
computer graphics and engineering with applications in shape analysis, deformation …

With the continuous advancement of 3D and human–computer interaction technologies,
digital human systems have been widely implemented in our daily lives, such as 3D games …

We present a neural network-based simulation super-resolution framework that can
efficiently and realistically enhance a facial performance produced by a low-cost, real-time …

Offline facial retargeting, ie, transferring facial expressions from a source to a target
character, is a common production task that still regularly leads to considerable algorithmic …