Thomas Besnier — accepted AI-conference papers

2026

PaNDaS: Learnable Shape Interpolation Modeling with Localized Control

Thomas Besnier, Emery Pierson, Sylvain Arguillere, Maks Ovsjanikov, Mohamed Daoudi

CVPR 2026

We present PaNDaS, a novel deep learning framework for Partial Non-Rigid Deformations and interpolations of Surfaces (PaNDaS). PaNDaS learns a per-face feature field on the source mesh and fuses it with a global encoding of the target. A deformation generator predicts a Jacobian field and recovers a

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2024

ScanTalk: 3D Talking Heads from Unregistered Scans

Federico Nocentini*, Thomas Besnier, Claudio Ferrari, Sylvain Arguillere, Stefano Berretti, Mohamed Daoudi

ECCV 2024poster

"Speech-driven 3D talking heads generation has emerged as a significant area of interest among researchers, presenting numerous challenges. Existing methods are constrained by animating faces with fixed topologies, wherein point-wise correspondence is established, and the number and order of points…

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