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Gerard Pons-Moll
Gerard Pons-Moll
Professor of Computer Science, University of Tübingen
Подтвержден адрес электронной почты в домене uni-tuebingen.de - Главная страница
Название
Процитировано
Процитировано
Год
SMPL: A skinned multi-person linear model
M Loper, N Mahmood, J Romero, G Pons-Moll, MJ Black
Seminal Graphics Papers: Pushing the Boundaries, Volume 2, 851-866, 2023
45732023
D-nerf: Neural radiance fields for dynamic scenes
A Pumarola, E Corona, G Pons-Moll, F Moreno-Noguer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
13812021
AMASS: Archive of motion capture as surface shapes
N Mahmood, N Ghorbani, NF Troje, G Pons-Moll, MJ Black
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
13352019
Recovering accurate 3d human pose in the wild using imus and a moving camera
T Von Marcard, R Henschel, MJ Black, B Rosenhahn, G Pons-Moll
Proceedings of the European conference on computer vision (ECCV), 601-617, 2018
11382018
Neural body fitting: Unifying deep learning and model based human pose and shape estimation
M Omran, C Lassner, G Pons-Moll, P Gehler, B Schiele
2018 international conference on 3D vision (3DV), 484-494, 2018
5502018
Implicit functions in feature space for 3d shape reconstruction and completion
J Chibane, T Alldieck, G Pons-Moll
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
5372020
Video based reconstruction of 3d people models
T Alldieck, M Magnor, W Xu, C Theobalt, G Pons-Moll
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
5182018
Single-shot multi-person 3d pose estimation from monocular rgb
D Mehta, O Sotnychenko, F Mueller, W Xu, S Sridhar, G Pons-Moll, ...
2018 International Conference on 3D Vision (3DV), 120-130, 2018
4942018
ClothCap: Seamless 4D clothing capture and retargeting
G Pons-Moll, S Pujades, S Hu, MJ Black
ACM Transactions on Graphics (ToG) 36 (4), 1-15, 2017
4652017
Multi-garment net: Learning to dress 3d people from images
BL Bhatnagar, G Tiwari, C Theobalt, G Pons-Moll
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
4342019
Dynamic FAUST: Registering human bodies in motion
F Bogo, J Romero, G Pons-Moll, MJ Black
Proceedings of the IEEE conference on computer vision and pattern …, 2017
4142017
Learning to dress 3d people in generative clothing
Q Ma, J Yang, A Ranjan, S Pujades, G Pons-Moll, S Tang, MJ Black
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
4072020
XNect: Real-time multi-person 3D motion capture with a single RGB camera
D Mehta, O Sotnychenko, F Mueller, W Xu, M Elgharib, P Fua, HP Seidel, ...
Acm Transactions On Graphics (TOG) 39 (4), 82: 1-82: 17, 2020
391*2020
Dyna: A model of dynamic human shape in motion
G Pons-Moll, J Romero, N Mahmood, MJ Black
ACM Transactions on Graphics (TOG) 34 (4), 1-14, 2015
3802015
Deep inertial poser: Learning to reconstruct human pose from sparse inertial measurements in real time
Y Huang, M Kaufmann, E Aksan, MJ Black, O Hilliges, G Pons-Moll
ACM Transactions on Graphics (TOG) 37 (6), 1-15, 2018
3732018
Learning to reconstruct people in clothing from a single RGB camera
T Alldieck, M Magnor, BL Bhatnagar, C Theobalt, G Pons-Moll
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
3652019
Tex2shape: Detailed full human body geometry from a single image
T Alldieck, G Pons-Moll, C Theobalt, M Magnor
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
3632019
Doublefusion: Real-time capture of human performances with inner body shapes from a single depth sensor
T Yu, Z Zheng, K Guo, J Zhao, Q Dai, H Li, G Pons-Moll, Y Liu
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3572018
Sparse inertial poser: Automatic 3d human pose estimation from sparse imus
T Von Marcard, B Rosenhahn, MJ Black, G Pons‐Moll
Computer graphics forum 36 (2), 349-360, 2017
3492017
Neural unsigned distance fields for implicit function learning
J Chibane, G Pons-Moll
Advances in Neural Information Processing Systems 33, 21638-21652, 2020
3382020
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