Nicolas Talabot

Orcid: 0000-0003-0952-5906

According to our database1, Nicolas Talabot authored at least 12 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
High Resolution UDF Meshing via Iterative Networks.
CoRR, September, 2025

High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes.
CoRR, July, 2025

A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields.
CoRR, July, 2025

PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization.
CoRR, February, 2025

PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization.
Trans. Mach. Learn. Res., 2025

Pairwise-Constrained Implicit Functions for 3D Human Heart Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Enforcing View-Consistency in Class-Agnostic 3D Segmentation Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024
DiscoNeRF: Class-Agnostic Object Field for 3D Object Discovery.
CoRR, 2024

Neural Surface Detection for Unsigned Distance Fields.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Enforcing Topological Interaction between Implicit Surfaces via Uniform Sampling.
CoRR, 2023

2022
HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation.
Proceedings of the International Conference on 3D Vision, 2022

2021
HybridSDF: Combining Free Form Shapes and Geometric Primitives for effective Shape Manipulation.
CoRR, 2021


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