Author

Zorah Lähner

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Preprint Sep 2026

TokenMatch: 3D Mesh Correspondence Transformer with Curvature-Guided Tokenisation

While data-driven 3D shape correspondence estimation has recently seen substantial progress, robust matching under partial observations and strong non-isometric deformations remains challenging. Existing learning-based approaches often rely on hand-crafted descriptors or template-based representations, whereas recent g...

Adeela Islam, Zorah Lähner, Vittorio Murino et al. · 0 citations

Preprint Aug 2026

Confidence matters: Leveraging Multi-view Geometric Priors for GS-based Reconstruction

This work investigates the integration of geometric priors, in the form of predicted normal and depth maps, into the 3DGS framework to improve the reconstruction quality and reveals that multi-view predictions, as they are done by the recent visual geometry grounded transformer (VGGT), outperform single-view alternativ...

Hong-Yu Zhou, Zorah Lähner · 0 citations