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20212026
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

collaborators

7 papers

cs.CV2026

REACT 2026: The Fourth Multiple Appropriate Facial Reaction Generation Challenge: Personalised MAFRG and Appropriate EEG Reaction Prediction

Siyang Song, Micol Spitale, Zijian Wu +11

In dyadic interactions, various human facial reactions could be appropriate for responding to each human speaker behaviour. Following the successful organisation of the REACT 2023,…

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.GR2025

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…

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.CV2021

Sparse to Dense Dynamic 3D Facial Expression Generation

Naima Otberdout, Claudio Ferrari, Mohamed Daoudi +2

In this paper, we propose a solution to the task of generating dynamic 3D facial expressions from a neutral 3D face and an expression label. This involves solving two sub-problems:…