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arXiv cs.GR
arXiv cs.GR Research
· 1 month, 1 week ago • Ana Dodik, Vincent Sitzmann, Justin Solomon, Oded Stein

Robust Biharmonic Skinning Using Geometric Fields

Briefing

A new skinning method replaces the usual tetrahedral volume step with a mesh-free formulation built on geometric fields. That matters because bounded biharmonic weights are widely used for character rigging, reduced-order simulation, and geometry descriptors, but they often break when the surface can’t be cleanly tetrahedralized.

The key practical win is robustness: the method is designed to work on open surfaces, triangle soups, and point clouds, where conventional bounded biharmonic approaches can fail outright. It uses hardware ray tracing to support a specialized Lagrangian representation, letting the solver optimize biharmonic energy and boundary conditions without relying on finite elements.

For game teams, this is interesting anywhere automatic rigging or deformation tools need to survive messy real-world assets. The formulation also keeps room for artist control through weight painting during optimization, which is important if the goal is to slot into production rather than replace it with a black box.

The work comes from Ana Dodik, Vincent Sitzmann, Justin Solomon, and Oded Stein, and it has been revised multiple times since its first submission on June 1, 2024, with a later version posted on August 3, 2026. A thorough qualitative and quantitative evaluation accompanies the method, suggesting the authors are positioning it as a practical alternative rather than a narrow research demo.

“works reliably even on open surfaces, triangle soups, and point clouds”

— Ana Dodik et al. · Describing the robustness target of the method
Original source
Read on arXiv cs.GR
At a glance
what
A mesh-free automatic skinning method computes biharmonic weights without tetrahedralizing the volume.
who
Ana Dodik, Vincent Sitzmann, Justin Solomon, and Oded Stein.
when
First submitted June 1, 2024; revised versions posted Feb. 5, 2025 and Aug. 3, 2026.
impact
Could make rigging and deformation workflows more robust on open surfaces, triangle soups, and point clouds.
Signal Positive

Promising robustness for a common rigging pain point

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