Learning Skeletal Articulations with Neural Blend Shapes

Abstract

We develop a neural technique for articulating 3D characters using enveloping with a pre-defined skeletal structure, which is essential for animating character with motion capture (mocap) data. Furthermore, we propose neural blend shapes – a set of corrective pose-dependent shapes that is used to address the notorious artifacts caused by standard rigging and skinning technique in joint region.