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20232026
most citedBeyond Fixed Topologies: Unregistered Training and Comprehensive Evaluation Metrics for 3D Talking Heads

1 citations · 1 across the 6 of their papers we have counts for

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cs.CV2026

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…

cs.CV2024

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…

cs.CV2024★ 1 cited

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…

cs.CV2024

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…

cs.CV2023

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…