We present a novel neural implicit representation for articulated human bodies. Compared
to explicit template meshes, neural implicit body representations provide an efficient …

We present RigNet, an end-to-end automated method for producing animation rigs from
input character models. Given an input 3D model representing an articulated character …

We present a deep-learning-based method to automatically compute skin weights for
skeleton-based deformation of production characters. Given a character mesh and its …

Geometric skinning techniques, such as smooth blending or dual-quaternions, are very
popular in the industry for their high performances, but fail to mimic realistic deformations …

Animating a newly designed character using motion capture (mocap) data is a long standing
problem in computer animation. A key consideration is the skeletal structure that should …

We introduce an example-based rigging approach to automatically generate linear blend
skinning models with skeletal structure. Based on a set of example poses, our approach can …

Rigging and skinning clothed human avatars is a challenging task and traditionally requires
a lot of manual work and expertise. Recent methods addressing it either generalize across …

Skinning algorithms that work across a broad range of character designs and poses are
crucial to creating compelling animations. Currently, linear blend skinning (LBS) and dual …

Data driven models of human poses and soft-tissue deformations can produce very realistic
results, but they only model the visible surface of the human body and cannot create skin …

In this paper we present a physics-based framework for simulation and control of human-like
skeleton-driven soft body characters. We couple the skeleton dynamics and the soft body …