Timo Bolkart
Timo Bolkart
Max Planck Institute for Intelligent Systems
Bestätigte E-Mail-Adresse bei tuebingen.mpg.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Expressive body capture: 3d hands, face, and body from a single image
G Pavlakos, V Choutas, N Ghorbani, T Bolkart, AAA Osman, D Tzionas, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
2992019
Generating 3D faces using Convolutional Mesh Autoencoders
A Ranjan, T Bolkart, S Sanyal, MJ Black
European Conference on Computer Vision (ECCV), 725--741, 2018
2472018
Learning a model of facial shape and expression from 4D scans.
T Li, T Bolkart, MJ Black, H Li, J Romero
ACM Trans. Graph. 36 (6), 194:1-194:17, 2017
2092017
Review of statistical shape spaces for 3D data with comparative analysis for human faces
A Brunton, A Salazar, T Bolkart, S Wuhrer
Computer Vision and Image Understanding 128, 1-17, 2014
812014
3d morphable face models—past, present, and future
B Egger, WAP Smith, A Tewari, S Wuhrer, M Zollhoefer, T Beeler, ...
ACM Transactions on Graphics (TOG) 39 (5), 1-38, 2020
802020
Learning to regress 3D face shape and expression from an image without 3D supervision
S Sanyal, T Bolkart, H Feng, MJ Black
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
792019
Fitting a 3D morphable model to edges: A comparison between hard and soft correspondences
A Bas, WAP Smith, T Bolkart, S Wuhrer
Asian Conference on Computer Vision, 377-391, 2016
792016
Multilinear wavelets: A statistical shape space for human faces
A Brunton, T Bolkart, S Wuhrer
European Conference on Computer Vision, 297-312, 2014
612014
Capture, learning, and synthesis of 3D speaking styles
D Cudeiro, T Bolkart, C Laidlaw, A Ranjan, MJ Black
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
582019
3D faces in motion: Fully automatic registration and statistical analysis
T Bolkart, S Wuhrer
Computer Vision and Image Understanding 131, 100-115, 2015
53*2015
A groupwise multilinear correspondence optimization for 3d faces
T Bolkart, S Wuhrer
Proceedings of the IEEE international conference on computer vision, 3604-3612, 2015
492015
Monocular expressive body regression through body-driven attention
V Choutas, G Pavlakos, T Bolkart, D Tzionas, MJ Black
European Conference on Computer Vision, 20-40, 2020
422020
Improved pre-warping for wide angle, head mounted displays
D Pohl, GS Johnson, T Bolkart
Proceedings of the 19th ACM symposium on Virtual Reality Software and …, 2013
352013
A robust multilinear model learning framework for 3d faces
T Bolkart, S Wuhrer
Proceedings of the IEEE conference on computer vision and pattern …, 2016
242016
STAR: Sparse Trained Articulated Human Body Regressor
AAA Osman, T Bolkart, MJ Black
European Conference on Computer Vision, 598-613, 2020
232020
GIF: Generative Interpretable Faces
P Ghosh, PS Gupta, R Uziel, A Ranjan, M Black, T Bolkart
International Conference on 3D Vision (3DV), 2020
102020
Using astigmatism in wide angle HMDs to improve rendering
D Pohl, T Bolkart, S Nickels, O Grau
2015 IEEE Virtual Reality (VR), 263-264, 2015
82015
Learning an animatable detailed 3D face model from in-the-wild images
Y Feng, H Feng, MJ Black, T Bolkart
ACM Transactions on Graphics (TOG) 40 (4), 1-13, 2021
52021
A statistical shape space model of the palate surface trained on 3D MRI scans of the vocal tract
A Hewer, I Steiner, T Bolkart, S Wuhrer, K Richmond
International Congress of Phonetic Sciences, 2015
52015
A General Framework to Generate Sizing Systems from 3D Motion Data Applied to Face Mask Design.
T Bolkart, P Bose, C Shu, S Wuhrer
International Conference on 3D Vision (3DV), 425-431, 2014
42014
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