Nicolas Talabot

According to our database, Nicolas Talabot authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes.

Aoxiang Fan, Corentin Dumery, Nicolas Talabot, Hieu Le, Pascal Fua

CoRR, July, 2025

A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields.

Aoxiang Fan, Corentin Dumery, Nicolas Talabot, Pascal Fua

CoRR, July, 2025

PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization.

Nicolas Talabot, Olivier Clerc, Arda Cinar Demirtas, Doruk Öner, Pascal Fua

CoRR, February, 2025

Enforcing View-Consistency in Class-Agnostic 3D Segmentation Fields.

Corentin Dumery, Aoxiang Fan, Ren Li, Nicolas Talabot, Pascal Fua

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

DiscoNeRF: Class-Agnostic Object Field for 3D Object Discovery.

Corentin Dumery, Aoxiang Fan, Ren Li, Nicolas Talabot, Pascal Fua

CoRR, 2024

Neural Surface Detection for Unsigned Distance Fields.

Federico Stella, Nicolas Talabot, Hieu Le, Pascal Fua

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Enforcing Topological Interaction between Implicit Surfaces via Uniform Sampling.

Hieu Le, Nicolas Talabot, Jiancheng Yang, Pascal Fua

CoRR, 2023

2022

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

Proceedings of the International Conference on 3D Vision, 2022

2021

HybridSDF: Combining Free Form Shapes and Geometric Primitives for effective Shape Manipulation.

Subeesh Vasu, Nicolas Talabot, Artem Lukoianov, Pierre Baqué, Jonathan Donier, Pascal Fua

CoRR, 2021