Thomas Besnier Postdoc, Université de Copenhague

Identifiants chercheurs

IdHAL :

tbesnier

ORCID :

0009-0007-3251-980X

Publications

Article dans une revue (3)

Beyond Fixed Topologies: Unregistered Training and Comprehensive Evaluation Metrics for 3D Talking Heads Federico Nocentini,Thomas Besnier,Claudio Ferrari,Sylvain Arguillere,Mohamed Daoudiet al. International Journal of Computer Vision, 2026, 134 (3), pp.105. ⟨10.1007/s11263-025-02726-7⟩ Article dans une revue hal-05507527v1
Scanmove: Motion prediction and transfer for unregistered body meshes Thomas Besnier,Sylvain Arguillère,Mohamed Daoudi Computers and Graphics, 2025, 132, pp.104409. ⟨10.1016/j.cag.2025.104409⟩ Article dans une revue hal-05294112v1
Toward Mesh-Invariant 3D Generative Deep Learning with Geometric Measures Thomas Besnier,Sylvain Arguillère,Emery Pierson,Mohamed Daoudi Computers and Graphics, In press, ⟨10.1016/j.cag.2023.06.027⟩ Article dans une revue hal-04143649v1

Thèse (1)

Reparametrization invariance in geometric deep learning: applications to human body and face motion synthesis Thomas Besnier Computer Science [cs]. Université de Lille, 2025. English. ⟨NNT : ⟩ Thèse tel-05431620v1

Communication dans un congrès (2)

ScanTalk: 3D Talking Heads from Unregistered Scans Federico Nocentini,Thomas Besnier,Claudio Ferrari,Sylvain Arguillere,Stefano Berrettiet al. European Conference on Computer Vision (ECCV), Sep 2024, Milan, Italy Communication dans un congrès hal-04732491v1
Parameterization Robustness of 3D Auto-Encoders Emery Pierson,Thomas Besnier,Mohamed Daoudi,Sylvain Arguillere Eurographics Workshop on 3D Object Retrieval, Sep 2022, Florence, Italy Communication dans un congrès hal-03814647v1