Search Results for author: Edmond Boyer

Found 23 papers, 7 papers with code

Vertebrae localization, segmentation and identification using a graph optimization and an anatomic consistency cycle

1 code implementation23 Oct 2021 Di Meng, Edmond Boyer, Sergi Pujades

Vertebrae localization, segmentation and identification in CT images is key to numerous clinical applications.

Neural Human Deformation Transfer

no code implementations3 Sep 2021 Jean Basset, Adnane Boukhayma, Stefanie Wuhrer, Franck Multon, Edmond Boyer

We consider the problem of human deformation transfer, where the goal is to retarget poses between different characters.

3D Human Shape Style Transfer

no code implementations3 Sep 2021 Joao Regateiro, Edmond Boyer

Traditional solutions follow a pose transfer strategy, from the moving character to the source character shape, that relies on skeletal pose parametrization.

Pose Transfer Style Transfer

Data-Driven 3D Reconstruction of Dressed Humans From Sparse Views

1 code implementation16 Apr 2021 Pierre Zins, Yuanlu Xu, Edmond Boyer, Stefanie Wuhrer, Tony Tung

We propose a data-driven end-to-end approach that reconstructs an implicit 3D representation of dressed humans from sparse camera views.

3D Reconstruction

Dual Mesh Convolutional Networks for Human Shape Correspondence

no code implementations23 Mar 2021 Nitika Verma, Adnane Boukhayma, Jakob Verbeek, Edmond Boyer

Convolutional networks have been extremely successful for regular data structures such as 2D images and 3D voxel grids.

3D Shape Representation

Mesh Denoising with Facet Graph Convolutions

1 code implementation15 Dec 2020 Matthieu Armando, Jean-Sébastien Franco, Edmond Boyer

Most existing mesh denoising methods still use hand-crafted features, and locally denoise facets rather than examine the mesh globally.

Denoising

Articulated Shape Matching Using Laplacian Eigenfunctions and Unsupervised Point Registration

no code implementations14 Dec 2020 Diana Mateus, Radu Horaud, David Knossow, Fabio Cuzzolin, Edmond Boyer

Matching articulated shapes represented by voxel-sets reduces to maximal sub-graph isomorphism when each set is described by a weighted graph.

Graph Matching

Topology-Adaptive Mesh Deformation for Surface Evolution, Morphing, and Multi-View Reconstruction

no code implementations10 Dec 2020 Andrei Zaharescu, Edmond Boyer, Radu Horaud

However, explicit mesh representations, while allowing for accurate surface modelling, suffer from the inherent difficulty of reliably dealing with self-intersections and topological changes such as merges and splits.

Cross-modal Deep Face Normals with Deactivable Skip Connections

1 code implementation CVPR 2020 Victoria Fernandez Abrevaya, Adnane Boukhayma, Philip H. S. Torr, Edmond Boyer

Core to our approach is a novel module that we call deactivable skip connections, which allows integrating both the auto-encoded and image-to-normal branches within the same architecture that can be trained end-to-end.

3D Face Reconstruction

Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image

1 code implementation20 Aug 2019 Roman Klokov, Jakob Verbeek, Edmond Boyer

We study end-to-end learning strategies for 3D shape inference from images, in particular from a single image.

3D Reconstruction

A Decoupled 3D Facial Shape Model by Adversarial Training

no code implementations ICCV 2019 Victoria Fernandez Abrevaya, Adnane Boukhayma, Stefanie Wuhrer, Edmond Boyer

Data-driven generative 3D face models are used to compactly encode facial shape data into meaningful parametric representations.

Shape Reconstruction Using Volume Sweeping and Learned Photoconsistency

no code implementations ECCV 2018 Vincent Leroy, Jean-Sebastien Franco, Edmond Boyer

Our results demonstrate this ability, showing that a CNN, trained on a standard static dataset, can help recover surface details on dynamic scenes that are not perceived by traditional 2D feature based methods.

3D Shape Reconstruction

Multi-View Dynamic Shape Refinement Using Local Temporal Integration

no code implementations ICCV 2017 Vincent Leroy, Jean-Sebastien Franco, Edmond Boyer

We consider 4D shape reconstructions in multi-view environments and investigate how to exploit temporal redundancy for precision refinement.

Super-Resolution Temporal Sequences

FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis

1 code implementation CVPR 2018 Nitika Verma, Edmond Boyer, Jakob Verbeek

Convolutional neural networks (CNNs) have massively impacted visual recognition in 2D images, and are now ubiquitous in state-of-the-art approaches.

Volumetric 3D Tracking by Detection

no code implementations CVPR 2016 Chun-Hao Huang, Benjamin Allain, Jean-Sebastien Franco, Nassir Navab, Slobodan Ilic, Edmond Boyer

In this paper, we propose a new framework for 3D tracking by detection based on fully volumetric representations.

Shape Animation with Combined Captured and Simulated Dynamics

no code implementations6 Jan 2016 Benjamin Allain, Li Wang, Jean-Sebastien Franco, Franck Hetroy, Edmond Boyer

Instead of using the dominant surface-based geometric representation of the capture, which is less suitable for volumetric effects, our pipeline exploits Centroidal Voronoi tessellation decompositions as unified volumetric representation of the real captured actor, which we show can be used seamlessly as a building block for all processing stages, from capture and tracking to virtual physic simulation.

An Efficient Volumetric Framework for Shape Tracking

no code implementations CVPR 2015 Benjamin Allain, Jean-Sebastien Franco, Edmond Boyer

While numerically plausible, this paradigm ignores the fact that the observed surfaces often delimit volumetric shapes, for which deformations are constrained by the volume inside the shape.

Temporal Sequences

Toward User-Specific Tracking by Detection of Human Shapes in Multi-Cameras

no code implementations CVPR 2015 Chun-Hao Huang, Edmond Boyer, Bibiana do Canto Angonese, Nassir Navab, Slobodan Ilic

It usually comprises an association step, that finds correspondences between the model and the input data, and a deformation step, that fits the model to the observations given correspondences.

Temporal Sequences

Human Shape and Pose Tracking Using Keyframes

no code implementations CVPR 2014 Chun-Hao Huang, Edmond Boyer, Nassir Navab, Slobodan Ilic

In contrast to many existing approaches that rely on a single reference model, multiple templates represent a larger variability of human poses.

Pose Tracking

High Resolution 3D Shape Texture from Multiple Videos

no code implementations CVPR 2014 Vagia Tsiminaki, Jean-Sebastien Franco, Edmond Boyer

To this goal we use 2D warps for all viewpoints and all temporal frames and a linear image formation model from texture to image space.

Image Super-Resolution

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