1 citations · 1 across the 6 of their papers we have counts for
6 papers
FreeTalk: Emotional Topology-Free 3D Talking Heads
Federico Nocentini, Thomas Besnier, Claudio Ferrari +2
Speech-driven 3D facial animation has advanced rapidly, yet most approaches remain tied to registered template meshes, preventing effective deployment on raw 3D scans with arbitrar…
ScanMove: Motion Prediction and Transfer for Unregistered Body Meshes
Thomas Besnier, Sylvain Arguillère, Mohamed Daoudi
Unregistered surface meshes, especially raw 3D scans, present significant challenges for automatic computation of plausible deformations due to the lack of established point-wise c…
PaNDaS: Learnable Deformation Modeling with Localized Control
Thomas Besnier, Emery Pierson, Sylvain Arguillere +2
Non-rigid shape deformations pose significant challenges, and most existing methods struggle to handle partial deformations effectively. We propose to learn deformations at the poi…
Beyond Fixed Topologies: Unregistered Training and Comprehensive Evaluation Metrics for 3D Talking Heads
Federico Nocentini, Thomas Besnier, Claudio Ferrari +3
Generating speech-driven 3D talking heads presents numerous challenges; among those is dealing with varying mesh topologies where no point-wise correspondence exists across the mes…
ScanTalk: 3D Talking Heads from Unregistered Scans
Federico Nocentini, Thomas Besnier, Claudio Ferrari +3
Speech-driven 3D talking heads generation has emerged as a significant area of interest among researchers, presenting numerous challenges. Existing methods are constrained by anima…
Toward Mesh-Invariant 3D Generative Deep Learning with Geometric Measures
Thomas Besnier, Sylvain Arguillère, Emery Pierson +1
3D generative modeling is accelerating as the technology allowing the capture of geometric data is developing. However, the acquired data is often inconsistent, resulting in unregi…