TopoRig: Topology-Agnostic Facial Rigging via Multi-Source Supervision
Automatic facial rigging across heterogeneous mesh topologies remains challenging because high-quality expression supervision is often tied to canonical templates, while deformation transfer to arbitrary meshes can introduce geometric artifacts and correspondence errors. We present TopoRig, a topology-agnostic facial rigging framework that predicts FACS-conditioned deformations directly on input mesh vertices while preserving the original topology. Starting from the ICT FaceKit expression model, we construct complementary supervision from accurate but template-biased common-topology rigs, topology-diverse but noisier transferred rigs, and targeted image-based cues for controls poorly capt...
| Authors | Andrew Fleet, Soroush Mehraban, Vida Adeli et al. |
|---|---|
| Primary category | cs.GR |
| Published | 14 September 2026 |
| Last updated at source | 16 September 2026 |
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