We present Animatomy, a novel anatomic+ animator centric representation of the human
face. Present FACS-based systems are plagued with problems of face muscle separation …

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) …

Abstract 3D pose transfer over unorganized point clouds is a challenging generation task,
which transfers a source's pose to a target shape and keeps the target's identity. Recent …

Abstract 3D scene graph generation (SGG) aims to predict the class of objects and
predicates simultaneously in one 3D point cloud scene with instance segmentation. Since …

3D morphable model (3DMM) fitting on 2D data is traditionally done via unconstrained
optimization with regularization terms to ensure that the result is a plausible face shape and …

Data driven and learning based solutions for modeling dynamic garments have significantly
advanced, especially in the context of digital humans. However, existing approaches often …

Expression transfer is an important task in computer graphics and vision. Existing 3D face
models constructed on registered meshes or shapes with corresponding vertices cannot …

Motion retargeting is the long-standing problem in character animation that consists in
transferring and adapting the motion of a source character to another target character. A …

Manual facial rigging is time-consuming. Traditional automatic rigging methods lack either
3D datasets or explainable semantic parameters, which makes it difficult to retarget a certain …

Abstract 3D virtual character animation is the core technology of games, animation, and
virtual reality. To improve its visual and realistic effects, the research focused on the skeleton …