Corentin Dumery
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View article: High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes
High-Fidelity and Generalizable Neural Surface Reconstruction with Sparse Feature Volumes Open
Generalizable neural surface reconstruction has become a compelling technique to reconstruct from few images without per-scene optimization, where dense 3D feature volume has proven effective as a global representation of scenes. However, …
View article: A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields
A View-consistent Sampling Method for Regularized Training of Neural Radiance Fields Open
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 have proven to be the most effective ones. However, depth es…
View article: Single View Garment Reconstruction Using Diffusion Mapping Via Pattern Coordinates
Single View Garment Reconstruction Using Diffusion Mapping Via Pattern Coordinates Open
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 recovery, accurate reconstruction of garment geometry -- es…
View article: Temporally Compressed 3D Gaussian Splatting for Dynamic Scenes
Temporally Compressed 3D Gaussian Splatting for Dynamic Scenes Open
Recent advancements in high-fidelity dynamic scene reconstruction have leveraged dynamic 3D Gaussians and 4D Gaussian Splatting for realistic scene representation. However, to make these methods viable for real-time applications such as AR…
View article: Counting Stacked Objects
Counting Stacked Objects Open
Visual object counting is a fundamental computer vision task underpinning numerous real-world applications, from cell counting in biomedicine to traffic and wildlife monitoring. However, existing methods struggle to handle the challenge of…
View article: Enforcing View-Consistency in Class-Agnostic 3D Segmentation Fields
Enforcing View-Consistency in Class-Agnostic 3D Segmentation Fields Open
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 methods work well using 2D semantic masks, but they generalize po…
View article: Reconstruction of Manipulated Garment with Guided Deformation Prior
Reconstruction of Manipulated Garment with Guided Deformation Prior Open
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 assume. In this work, we address shape recovery when garments…
View article: Garment Recovery with Shape and Deformation Priors
Garment Recovery with Shape and Deformation Priors Open
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 garment models from real-world images, regardless of garme…
View article: Computational Pattern Making from 3D Garment Models
Computational Pattern Making from 3D Garment Models Open
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, resulting in pattern pieces that can be cut out of fabric…
View article: Computational pattern making from 3D garment models
Computational pattern making from 3D garment models Open
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, resulting in pattern pieces that can be cut out of fabric…
View article: Evocube: a Genetic Labeling Framework for Polycube-Maps
Evocube: a Genetic Labeling Framework for Polycube-Maps Open
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. However, the strict alignment constraints behind polycube-based…
View article: Evocube: a Genetic Labeling Framework for Polycube-Maps
Evocube: a Genetic Labeling Framework for Polycube-Maps Open
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. However, the strict alignment constraints behind polycube-based…