Search Results for author: Stefanie Wuhrer

Found 22 papers, 10 papers with code

Spatio-temporal motion completion using a sequence of latent primitives

no code implementations27 Jun 2022 Mathieu Marsot, Stefanie Wuhrer, Jean-Sebastien Franco, Anne Hélène Olivier

We address both problems by learning a motion prior that encodes a 4D human motion sequence into a sequence of latent primitives instead of one latent code.

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.

A structured latent space for human body motion generation

no code implementations7 Jun 2021 Mathieu Marsot, Stefanie Wuhrer, Jean-Sebastien Franco, Stephane Durocher

This work investigates learning a structured latent space to represent and generate temporally and spatially dense 4D human body motion.

Computer Vision Human motion prediction +1

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

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.

Analyzing Clothing Layer Deformation Statistics of 3D Human Motions

no code implementations ECCV 2018 Jinlong Yang, Jean-Sebastien Franco, Franck Hetroy-Wheeler, Stefanie Wuhrer

Recent capture technologies and methods allow not only to retrieve 3D model sequence of moving people in clothing, but also to separate and extract the underlying body geometry, motion component and the clothing as a geometric layer.

A Multilinear Tongue Model Derived from Speech Related MRI Data of the Human Vocal Tract

2 code implementations15 Dec 2016 Alexander Hewer, Stefanie Wuhrer, Ingmar Steiner, Korin Richmond

We present a multilinear statistical model of the human tongue that captures anatomical and tongue pose related shape variations separately.

Image Denoising Semantic Segmentation

A Robust Multilinear Model Learning Framework for 3D Faces

1 code implementation CVPR 2016 Timo Bolkart, Stefanie Wuhrer

Multilinear models are widely used to represent the statistical variations of 3D human faces as they decouple shape changes due to identity and expression.

3D FACE MODELING Face Model +1

Fitting a 3D Morphable Model to Edges: A Comparison Between Hard and Soft Correspondences

1 code implementation2 Feb 2016 Anil Bas, William A. P. Smith, Timo Bolkart, Stefanie Wuhrer

We propose a fully automatic method for fitting a 3D morphable model to single face images in arbitrary pose and lighting.

A Groupwise Multilinear Correspondence Optimization for 3D Faces

1 code implementation ICCV 2015 Timo Bolkart, Stefanie Wuhrer

To compute a high-quality multilinear face model, the quality of the registration of the database of 3D face scans used for training is essential.


A statistical shape space model of the palate surface trained on 3D MRI scans of the vocal tract

no code implementations4 Sep 2015 Alexander Hewer, Ingmar Steiner, Timo Bolkart, Stefanie Wuhrer, Korin Richmond

The palate model is then tested using 3D MRI from another corpus and evaluated using a high-resolution optical scan.

Building Statistical Shape Spaces for 3D Human Modeling

no code implementations19 Mar 2015 Leonid Pishchulin, Stefanie Wuhrer, Thomas Helten, Christian Theobalt, Bernt Schiele

Statistical models of 3D human shape and pose learned from scan databases have developed into valuable tools to solve a variety of vision and graphics problems.

3D faces in motion: Fully automatic registration and statistical analysis

1 code implementation24 Jun 2014 Timo Bolkart, Stefanie Wuhrer

The resulting statistical analysis is applied to automatically generate realistic facial animations and to recognize dynamic facial expressions.

3D Face Animation 3D FACE MODELING +2

Review of Statistical Shape Spaces for 3D Data with ComparativeAnalysis for Human Faces

1 code implementation4 Apr 2014 Alan Brunton, Augusto Salazar, Timo Bolkart, Stefanie Wuhrer

Due to the wide avail-ability of databases of high-quality data, we use the human face as the specific shape we wish to extract from corrupted data.

3D FACE MODELING Face Model +1

Multilinear Wavelets: A Statistical Shape Space for Human Faces

1 code implementation13 Jan 2014 Alan Brunton, Timo Bolkart, Stefanie Wuhrer

We show that in comparison to a global multilinear model, our model better preserves fine detail and is computationally faster, while in comparison to a localized PCA model, our model better handles variation in expression, is faster, and allows us to fix identity parameters for a given subject.

3D FACE MODELING 3D Face Reconstruction +1

Estimation of Human Body Shape and Posture Under Clothing

no code implementations17 Dec 2013 Stefanie Wuhrer, Leonid Pishchulin, Alan Brunton, Chang Shu, Jochen Lang

Our method can estimate the body shape and posture of both static scans and motion sequences of dressed human body scans.

Analysis of Farthest Point Sampling for Approximating Geodesics in a Graph

no code implementations19 Nov 2013 Pegah Kamousi, Sylvain Lazard, Anil Maheshwari, Stefanie Wuhrer

We show that $\mathcal{F}_{FPS}$ can be bounded in terms of the minimal value $\mathcal{F}^*$ of the stretch factor obtained using an optimal placement of $k$ sources as $\mathcal{F}_{FPS}\leq 2 r_e^2 \mathcal{F}^*+ 2 r_e^2 + 8 r_e + 1$, where $r_e$ is the ratio of the lengths of the longest and the shortest edges of the graph.

Finite Element Based Tracking of Deforming Surfaces

no code implementations19 Jun 2013 Stefanie Wuhrer, Jochen Lang, Motahareh Tekieh, Chang Shu

Our method combines the use of prior information on the geometry of the object modeled by a smooth template and the use of a linear finite element method to predict the deformation.

Review of Statistical Shape Spaces for 3D Data with Comparative Analysis for Human Faces

1 code implementation28 Sep 2012 Alan Brunton, Augusto Salazar, Timo Bolkart, Stefanie Wuhrer

Due to the wide availability of databases of high-quality data, we use the human face as the specific shape we wish to extract from corrupted data.

Fully Automatic Expression-Invariant Face Correspondence

no code implementations7 Feb 2012 Augusto Salazar, Stefanie Wuhrer, Chang Shu, Flavio Prieto

The predicted landmarks are then used to compute point-to-point correspondences between a template model and the newly available scan.

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