Filippo Maggioli — accepted AI-conference papers

2026

Volumetric Functional Maps

Filippo Maggioli, Simone Melzi, Marco Livesu

CVPR 2026

The computation of volumetric correspondences between 3D shapes is a prominent tool for medical and industrial applications. In this work, we pave the way for spectral volume mapping, extending for the first time the functional maps framework from the surface to the volumetric setting. We show that

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2025

Implicit-ARAP: Efficient Handle-Guided Neural Field Deformation via Local Patch Meshing

Daniele Baieri, Filippo Maggioli, Emanuele Rodolà, Simone Melzi, Zorah Lähner

NeurIPS 2025poster

Neural fields have emerged as a powerful representation for 3D geometry, enabling compact and continuous modeling of complex shapes. Despite their expressive power, manipulating neural fields in a controlled and accurate manner -- particularly under spatial constraints -- remains an open challenge,…

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