Search Results for author: Timo Bolkart

Found 24 papers, 19 papers with code

Towards Racially Unbiased Skin Tone Estimation via Scene Disambiguation

no code implementations8 May 2022 Haiwen Feng, Timo Bolkart, Joachim Tesch, Michael J. Black, Victoria Abrevaya

Our experimental results show significant improvement compared to state-of-the-art methods on albedo estimation, both in terms of accuracy and fairness.

Fairness

EMOCA: Emotion Driven Monocular Face Capture and Animation

1 code implementation24 Apr 2022 Radek Danecek, Michael J. Black, Timo Bolkart

While EMOCA achieves 3D reconstruction errors that are on par with the current best methods, it significantly outperforms them in terms of the quality of the reconstructed expression and the perceived emotional content.

3D Face Reconstruction 3D Reconstruction +2

Towards Metrical Reconstruction of Human Faces

no code implementations13 Apr 2022 Wojciech Zielonka, Timo Bolkart, Justus Thies

To this end, we take advantage of a face recognition network pretrained on a large-scale 2D image dataset, which provides distinct features for different faces and is robust to expression, illumination, and camera changes.

3D Face Reconstruction Face Recognition

Topologically Consistent Multi-View Face Inference Using Volumetric Sampling

no code implementations ICCV 2021 Tianye Li, Shichen Liu, Timo Bolkart, Jiayi Liu, Hao Li, Yajie Zhao

We propose ToFu, Topologically consistent Face from multi-view, a geometry inference framework that can produce topologically consistent meshes across facial identities and expressions using a volumetric representation instead of an explicit underlying 3DMM.

3D Reconstruction

STAR: Sparse Trained Articulated Human Body Regressor

1 code implementation ECCV 2020 Ahmed A. A. Osman, Timo Bolkart, Michael J. Black

The SMPL body model is widely used for the estimation, synthesis, and analysis of 3D human pose and shape.

Capture, Learning, and Synthesis of 3D Speaking Styles

1 code implementation CVPR 2019 Daniel Cudeiro, Timo Bolkart, Cassidy Laidlaw, Anurag Ranjan, Michael J. Black

To address this, we introduce a unique 4D face dataset with about 29 minutes of 4D scans captured at 60 fps and synchronized audio from 12 speakers.

3D Face Animation Talking Face Generation

Generating 3D faces using Convolutional Mesh Autoencoders

2 code implementations ECCV 2018 Anurag Ranjan, Timo Bolkart, Soubhik Sanyal, Michael J. Black

To address this, we introduce a versatile model that learns a non-linear representation of a face using spectral convolutions on a mesh surface.

3D FACE MODELING Face Model

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.

3D FACE MODELING Face Model

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.

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

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.

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