2026
Parallelised Differentiable Straightest Geodesics for 3D Meshes
CVPR 2026
Machine learning has been progressively generalised to operate within non-Euclidean domains, but geometrically accurate methods for learning on surfaces are still falling behind. The lack of closed-form Riemannian operators, the non-differentiability of their discrete counterparts, and poor parallel