Hi! I'm Nicolas, a PhD student in CVLab, EPFL, supervised by Prof. Pascal Fua. I mostly work on deep learning for 3D shape representation, with a focus on its application to shape design and optimization.

Before this, I did my Bachelor and Master degrees at EPFL, taking courses and projects related to robotics, computer vision, machine learning and deep learning.

You can check my EPFL page, or Google scholar.

Publications

PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization
Nicolas Talabot, Olivier Clerc, Arda C. Demirtas, Hieu Le, Doruk Oner, Pascal Fua
TMLR 2025 [Project] [arXiv] [Code]
High Resolution UDF Meshing via Iterative Networks
Federico Stella, Nicolas Talabot, Hieu Le, Pascal Fua
NeurIPS 2025 [arXiv]
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields
Aoxiang Fan, Corentin Dumery, Nicolas Talabot, Pascal Fua
ICCV 2025 [Project] [arXiv]
Pairwise-Constrained Implicit Functions for 3D Human Heart Modeling
Hieu Le, Jingyi Xu, Nicolas Talabot, Jiancheng Yang, Pascal Fua
MICCAI 2025 [arXiv]
Enforcing View-Consistency in Class-Agnostic 3D Segmentation Fields
Corentin Dumery, Aoxiang Fan, Ren Li, Nicolas Talabot, Pascal Fua
CVPRW 2025 [Project] [arXiv] [Poster]
Neural Surface Detection for Unsigned Distance Fields
Federico Stella, Nicolas Talabot, Hieu Le, Pascal Fua
ECCV 2024 [Project] [arXiv]
Ascending neurons convey behavioral state to integrative sensory and action selection brain regions
Chin-Lin Chen, Florian Aymanns, Ryo Minegishi, Victor D. V. Matsuda, Nicolas Talabot, Semih Günel, Barry J. Dickson, Pavan Ramdya
Nature Neuroscience 2023 [Nature] [PDF]
HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation
Subeesh Vasu*, Nicolas Talabot*, Artem Lukoianov, Pierre Baqué, Jonathan Donier, Pascal Fua
3DV 2022 [Project] [arXiv] [Video]