Gerard Pons-Moll

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Christian TheobaltProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityEmail confirmado em mpi-inf.mpg.de
Michael J. BlackMax Planck Institute for Intelligent SystemsEmail confirmado em tuebingen.mpg.de
Bharat Lal BhatnagarResearch Scientist, Meta Reality LabsEmail confirmado em meta.com
Bodo RosenhahnL3S Research Center / Leibniz Universität HannoverEmail confirmado em tnt.uni-hannover.de
Weipeng XuReality Labs ResearchEmail confirmado em fb.com
Naureen MahmoodMeshcapade GmbHEmail confirmado em meshcapade.com
Julian ChibaneMax Planck Institute for InformaticsEmail confirmado em mpi-inf.mpg.de
Javier RomeroReality Labs Research, MetaEmail confirmado em tuebingen.mpg.de
Thiemo AlldieckGoogle DeepMindEmail confirmado em google.com
Enric CoronaGoogleEmail confirmado em google.com
Matthew LoperMax Planck Institute for Intelligent SystemsEmail confirmado em tuebingen.mpg.de
Dushyant MehtaQualcomm AI ResearchEmail confirmado em qti.qualcomm.com
Sergi PujadesUniversité Grenoble Alpes - INRIAEmail confirmado em inria.fr
Hans-Peter SeidelProfessor of Computer Science, Max Planck Institute for Informatics, Saarland Informatics CampusEmail confirmado em mpi-inf.mpg.de
Marcus MagnorProfessor of Computer Science, TU Braunschweig, L3S Research CenterEmail confirmado em cg.cs.tu-bs.de
Garvita TiwariMax Planck Institute for Informatics, University of TuebingenEmail confirmado em mpi-inf.mpg.de
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland University, Saarland Informatics CampusEmail confirmado em mpi-inf.mpg.de
Timo von MarcardHochschule HannoverEmail confirmado em hs-hannover.de
Michael ZollhoeferDirector, Research Scientist, Reality Labs Research, MetaEmail confirmado em meta.com
Marc HabermannResearch Group Leader, Max Planck Institute for InformaticsEmail confirmado em mpi-inf.mpg.de

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Gerard Pons-Moll

Professor of Computer Science, University of Tübingen

Email confirmado em uni-tuebingen.de - Página inicial

Computer Vision Machine Learning Computer Graphics 4D Modeling 3D Modelling


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	4291	2023
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	1250	2021
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	1226	2019
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	1077	2018
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	544	2018
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	517	2020
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	500	2018
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	478	2018
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	448	2017
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	413	2019
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	392	2017
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	381	2020
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	380*	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	375	2015
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	351	2019
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	350	2019
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	346	2018
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	343	2018
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	330	2017
Neural unsigned distance fields for implicit function learning J Chibane, G Pons-Moll Advances in Neural Information Processing Systems 33, 21638-21652, 2020	317	2020

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