1 citations · 2 across the 12 of their papers we have counts for
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High Resolution UDF Meshing via Iterative Networks
Federico Stella, Nicolas Talabot, Hieu Le +1
Unsigned Distance Fields (UDFs) are a natural implicit representation for open surfaces but, unlike Signed Distance Fields (SDFs), are challenging to triangulate into explicit mesh…
Generalizable Neural Reconstruction of High-Fidelity Surfaces via Sparse Volumetric Representations
Aoxiang Fan, Corentin Dumery, Nicolas Talabot +3
Neural implicit representations have recently achieved impressive results in novel view synthesis and multi-view 3D reconstruction, yet both NeRF- and Gaussian Splatting-based meth…
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields
Aoxiang Fan, Corentin Dumery, Nicolas Talabot +1
Neural Radiance Fields (NeRF) has emerged as a compelling framework for scene representation and 3D recovery. To improve its performance on real-world data, depth regularizations h…
Diffusion Models are Secretly Zero-Shot 3DGS Harmonizers
Vsevolod Skorokhodov, Nikita Durasov, Pascal Fua
Gaussian Splatting has become a popular technique for various 3D Computer Vision tasks, including novel view synthesis, scene reconstruction, and dynamic scene rendering. However,…
PartSDF: Part-Based Implicit Neural Representation for Composite 3D Shape Parametrization and Optimization
Nicolas Talabot, Olivier Clerc, Arda Cinar Demirtas +4
Accurate 3D shape representation is essential in engineering applications such as design, optimization, and simulation. In practice, engineering workflows require structured, part-…