collaborators

6 papers

cs.CV2026

Polyglot: Multilingual Style Preserving Speech-Driven Facial Animation

Federico Nocentini, Kwanggyoon Seo, Qingju Liu +6

Speech-Driven Facial Animation (SDFA) has gained significant attention due to its applications in movies, video games, and virtual reality. However, most existing models are traine…

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.CV2026

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.CV2025

EmoVOCA: Speech-Driven Emotional 3D Talking Heads

Federico Nocentini, Claudio Ferrari, Stefano Berretti

The domain of 3D talking head generation has witnessed significant progress in recent years. A notable challenge in this field consists in blending speech-related motions with expr…

cs.CV2025

3D Face Reconstruction Error Decomposed: A Modular Benchmark for Fair and Fast Method Evaluation

Evangelos Sariyanidi, Claudio Ferrari, Federico Nocentini +3

Computing the standard benchmark metric for 3D face reconstruction, namely geometric error, requires a number of steps, such as mesh cropping, rigid alignment, or point corresponde…

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…