1 citations · 2 across the 13 of their papers we have counts for
17 papers
Revisiting Multi-View Stereo: A Sequence-to-Sequence Formulation
Aoxiang Fan, Corentin Dumery, Nicolas Talabot +1
Computing accurate geometry from multi-view images is a fundamental problem in computer vision. Recent feed-forward (FF) models jointly estimate 3D geometry and camera parameters,…
GazePrior: Zero-Shot AR/VR Eye Tracking via Learned 3D Gaze Reconstruction
Corentin Dumery, David Colmenares, Alexander Fix +3
Eye tracking (ET) is a foundational technology for advanced AR/VR applications. However, training ET models for every new ET device is challenging: real data collection is costly a…
The MixCount Dataset: Bridging the Data Gap for Open-Vocabulary Object Counting
Corentin Dumery, Niki Amini-Naieni, Shervin Naini +1
Object counting is a foundational vision task with over a decade of dedicated research, yet state-of-the-art models still fail systematically in the mixed-object setting that domin…
Automated Counting of Stacked Objects in Industrial Inspection
Corentin Dumery, Noa Etté, Aoxiang Fan +4
Visual object counting is a fundamental computer vision task in industrial inspection, where accurate, high-throughput inventory tracking and quality assurance are critical. Moreov…
Spatio-Temporal Garment Reconstruction Using Diffusion Mapping via Pattern Coordinates
Yingxuan You, Ren Li, Corentin Dumery +3
Reconstructing 3D clothed humans from monocular images and videos is a fundamental problem with applications in virtual try-on, avatar creation, and mixed reality. Despite signific…
Learning Sewing Patterns via Latent Flow Matching of Implicit Fields
Cong Cao, Ren Li, Corentin Dumery +1
Sewing patterns define the structural foundation of garments and are essential for applications such as fashion design, fabrication, and physical simulation. Despite progress in au…
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…
Single View Garment Reconstruction Using Diffusion Mapping Via Pattern Coordinates
Ren Li, Cong Cao, Corentin Dumery +3
Reconstructing 3D clothed humans from images is fundamental to applications like virtual try-on, avatar creation, and mixed reality. While recent advances have enhanced human body…
View-Dependent Uncertainty Estimation of 3D Gaussian Splatting
Chenyu Han, Corentin Dumery
3D Gaussian Splatting (3DGS) has become increasingly popular in 3D scene reconstruction for its high visual accuracy. However, uncertainty estimation of 3DGS scenes remains underex…
Temporally Compressed 3D Gaussian Splatting for Dynamic Scenes
Saqib Javed, Ahmad Jarrar Khan, Corentin Dumery +2
Recent advancements in high-fidelity dynamic scene reconstruction have leveraged dynamic 3D Gaussians and 4D Gaussian Splatting for realistic scene representation. However, to make…
Counting Stacked Objects
Corentin Dumery, Noa Etté, Aoxiang Fan +4
Visual object counting is a fundamental computer vision task underpinning numerous real-world applications, from cell counting in biomedicine to traffic and wildlife monitoring. Ho…
Enforcing View-Consistency in Class-Agnostic 3D Segmentation Fields
Corentin Dumery, Aoxiang Fan, Ren Li +2
Radiance Fields have become a powerful tool for modeling 3D scenes from multiple images. However, they remain difficult to segment into semantically meaningful regions. Some method…
Reconstruction of Manipulated Garment with Guided Deformation Prior
Ren Li, Corentin Dumery, Zhantao Deng +1
Modeling the shape of garments has received much attention, but most existing approaches assume the garments to be worn by someone, which constrains the range of shapes they can as…
Garment Recovery with Shape and Deformation Priors
Ren Li, Corentin Dumery, Benoît Guillard +1
While modeling people wearing tight-fitting clothing has made great strides in recent years, loose-fitting clothing remains a challenge. We propose a method that delivers realistic…
Evocube: a Genetic Labeling Framework for Polycube-Maps
Corentin Dumery, François Protais, Sébastien Mestrallet +2
Polycube-maps are used as base-complexes in various fields of computational geometry, including the generation of regular all-hexahedral meshes free of internal singularities. Howe…
Computational Pattern Making from 3D Garment Models
Nico Pietroni, Corentin Dumery, Raphael Guenot-Falque +3
We propose a method for computing a sewing pattern of a given 3D garment model. Our algorithm segments an input 3D garment shape into patches and computes their 2D parameterization…