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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, topo
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-14T15:37:03.000Z
First collected: 2026-09-20T09:41:04.278Z. This is not the publication date.