For all enquiries please contact:
Jessi Endress
Administrative Assistant
+ 49 7071 29 70803
jessica.endress@uni-tuebingen.de


Responsive imageResponsive imageResponsive imageResponsive imageResponsive image


Short Bio

Gerard Pons-Moll is a Professor at the University of Tübingen endowed by the Carl Zeiss Foundation, at the department of Computer Science. He is also core faculty at the Tübingen AI Center and head of the Emmy Noether independent research group "Real Virtual Humans", senior researcher at the Max Planck for Informatics (MPII) in Saarbrücken, Germany, and faculty at the IMPRS-IS (International Max Planck Research School - Intelligent Systems in Tübingen) and faculty at Saarland Informatics Campus. His research lies at the intersection of computer vision, computer graphics and machine learning -- with special focus on analyzing people in videos, and creating virtual human models by "looking" at real ones. His research has produced some of the most advanced statistical human body models of pose, shape, soft-tissue and clothing (which are currently used for a number of applications in industry and research), as well as algorithms to track and reconstruct 3D people models from images, video, depth, and IMUs.

His work has received several awards including the prestigious Emmy Noether Grant (2018), a Google Faculty Research Award (2019), a Facebook Reality Labs Faculty Award (2018), and recently the German Pattern Recognition Award (2019), which is given annually by the German Pattern Recognition Society to one outstanding researcher in the fields of Computer Vision and Machine Learning. In 2020 he received a Snap-Research gift. His work got Best Papers Awards BMVC’13, Eurographics’17, 3DV'18 and CVPR'20 and has been published at the top venues and journals including CVPR, ICCV, Siggraph, Eurographics, 3DV, IJCV and PAMI. He served as Area Chair for ECCV'18, 3DV'19, SCA'18'19, FG'20, ECCV'20. He will serve as Area Chair for CVPR'21, IJCAI'21 and 3DV'20.





Awards and grants:

Winner of all tracks of the ECCV'20 Challenge with J. Chibane2020
Best Student Paper Award Honorable Mention of CVPR'20 (with M. Habermann, W. Xu, M. Zhollhoefer, Christian Theobalt)2020
Snap Research Gift2020
German Pattern Recognition Award2019
Outstanding Reviewer Award of CVPR'192019
Google Faculty Research Award2019
Emmy Noether starting grant2018
Facebook Reality Labs Faculty Research Award2018
Best Student Paper Award of 3DV'18 (with M. Omran, C.Lassner, P. Gehler, B. Schiele)(pdf)2018
Best Paper Award at Eurographics'17 (with T. von Marcard, B. Rosenhahn and M.J. Black) (pdf)2017
Starting grant from the Zentrum Digitialisierung Bayern (ZD.B) (Declined)2017
Best Paper Award at BMVC'13 (with J. Taylor, J. Shotton, A. Hertzmann & A. Fitzgibbon)(pdf)2017
Ph.D degree "with distinction" for the first time in 10 years at the Institute for Information Processing at the Leibniz University of Hannover2014
Vodafone Foundation Fellowship. Awarded to outstanding graduates at UPC to conduct graduate research at USA2007

Professional Activities:

Program Chair of 3DV 20212021
Area Chair CVPR2021
Area Chair IJCAI2021
Area Chair ECCV2020
Area Chair 3DV2020
Area Chair FG (Face and Gesture)2020
Area Chair 3DV2019
Area Chair ECCV2018
International program committee* Pacific Graphics (PG), Motion Interaction and Games (MIG)
* equivalent to Area Chair in vision conferences
2019
International program committee SCA (Symposium on Computer Animation), CASA (Computer Animation and Social Agents) 2017, 2018
Workshop chair ICCV'17, ECCV'18, ECCV'202017, 2018
Tutorial organization ICCV'15, Siggraph'162015, 2016
Reviewer Siggraph, Siggraph Asiasince 2016
Reviewer of Eurographics2018, 2019
Program committee CVPR, ICCV, ECCVsince 2012
Program committee NIPS2017
Program committee ICML2018
Reviewer of T-PAMI, IJCVsince 2013
Reviewer of Transactions on Visualization and Computer Graphics (TVCG)since 2013
Reviewer of ISMAR, BMVC, ACCV, Transactions on Circuits and Systems for Video Technology (TCSVT) since 2013 (some years only)
Grant Reviewer for German Research Foundation (DFG), French National Research Agency (ANR), Israel Science Foundation (ISF).since 2017
Numerous invited talks. Examples: workshops of CVPR'18, CVPR'19, ICCV'19, ICCV'11, VR-days'18, and many research institutions, see talks
PhD committee: INRIA'17,'19, EPFL'18, Sapienza'19, Braunschweig'20
Associate Member of Center for Learning Systems (ETH-MPI-IS)2015-2017

Positions:

Since 12/2018Emmy Noether Independent Group Leader & Senior researcher at Max Planck Institute for Informatics (MPI-Inf), Saarbruecken.
Junior Faculty at Saarland Informatics Campus (SIC)
09/2017 - 09/2018Research Leader, Max Planck Institute for Informatics, Saarbruecken, head of Real Virtual Humans
09/2015 - 09/2017Research Scientist, Max Planck Institute for Intelligent Systems (MPI-IS), Tuebingen
03/2014 - 09/2015PostDoc, Max Planck Institute for Intelligent Systems, Tuebingen
02/2014PhD degree (with distinction) from the Leibniz University of Hannover.
Thesis: ``Human Pose Estimation from Video and Inertial Sensors''.
10/2012 - 02/2014PhD student (until 09/2013 at Leibniz U. of Hannover, from 09/2013 until 02/2014 at MPI-IS)
07/2012 - 10/2012Research Intern, Microsoft Research Cambridge
01/2012 - 06/2012Research Visitor, University of Toronto
02/2009 - 01/2012PhD student at the Leibniz University of Hannover.
01/2007 - 08/2008 Master Thesis at Northeastern University, Boston, USA
[2002 - 08/2008]Telecommunications Engineering B.S. and M.Sc. Technical University of Catalonia.
Thesis: ``4D Cardiac MRI Segmentation and Surface Reconstruction''.

Publications

FORCE: Dataset and Method for Intuitive Physics Guided Human-object Interaction
Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke, Ilya A. Petrov, Vladimir Guzov, Helisa Dhamo, Eduardo Pérez Pellitero, Gerard Pons-Moll
FORCE: Dataset and Method for Intuitive Physics Guided Human-object Interaction
in International Conference on 3D Vision (3DV), 2025.
HMD^2: Environment-aware Motion Generation from Single Egocentric Head-Mounted Device
Vladimir Guzov, Yifeng Jiang, Fangzhou Hong, Gerard Pons-Moll, Richard Newcombe, C. Karen Liu, Yuting Ye, Lingni Ma
HMD^2: Environment-aware Motion Generation from Single Egocentric Head-Mounted Device
in International Conference on 3D Vision (3DV), 2025.
InterTrack: Tracking Human Object Interaction without Object Templates
Xianghui Xie, Jan Eric Lenssen, Gerard Pons-Moll
InterTrack: Tracking Human Object Interaction without Object Templates
in International Conference on 3D Vision (3DV), 2025.
Unimotion: Unifying 3D Human Motion Synthesis and Understanding
Chuqiao Li, Julian Chibane, Yannan He, Naama Pearl, Andreas Geiger, Gerard Pons-Moll
Unimotion: Unifying 3D Human Motion Synthesis and Understanding
in International Conference on 3D Vision (3DV), 2025.
Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
István Sárándi, Gerard Pons-Moll
Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
in Advances in Neural Information Processing Systems (NeurIPS), 2024.
Human 3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models
Yuxuan Xue, Xianghui Xie, Riccardo Marin, Gerard Pons-Moll
Human 3Diffusion: Realistic Avatar Creation via Explicit 3D Consistent Diffusion Models
in Advances in Neural Information Processing Systems (NeurIPS), 2024.
NICP: Neural ICP for 3D Human Registration at Scale
Riccardo Marin, Enric Corona, Gerard Pons-Moll
NICP: Neural ICP for 3D Human Registration at Scale
in European Conference on Computer Vision, 2024.
Are Pose Estimators Ready for the Open World? STAGE: Synthetic Data Generation Toolkit for Auditing 3D Human Pose Estimators
Nikita Kister, István Sárándi, Anna Khoreva, Gerard Pons-Moll
Are Pose Estimators Ready for the Open World? STAGE: Synthetic Data Generation Toolkit for Auditing 3D Human Pose Estimators
in Arxiv, 2024.
Blendify - Python rendering framework for Blender
Vladimir Guzov, Ilya A. Petrov, Gerard Pons-Moll
Blendify - Python rendering framework for Blender
in Arxiv, 2024.
GEARS: Local Geometry-aware Hand-object Interaction Synthesis
Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
GEARS: Local Geometry-aware Hand-object Interaction Synthesis
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation
Xianghui Xie, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Highlight, 11.9% of accepted papers
Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering
Kim Youwang, Tae-Hyun Oh, Gerard Pons-Moll
Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors
Yannan He, Garvita Tiwari, Tolga Birdal, Jan Eric Lenssen, Gerard Pons-Moll
NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors
in Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Highlight, 11.9% of accepted papers
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes
Raza Yunus, Jan Eric Lenssen, Michael Niemeyer, Yiyi Liao, Christian Rupprecht, Christian Theobalt, Gerard Pons-Moll, Jia-Bin Huang, Vladislav Golyanik, Eddy Ilg
Recent Trends in 3D Reconstruction of General Non-Rigid Scenes
in Eurographics, 2024.
CloSe: A 3D Clothing Segmentation Dataset and Model
Dimitrije Antić, Garvita Tiwari, Batuhan Ozcomlekci, Riccardo Marin, Gerard Pons-Moll
CloSe: A 3D Clothing Segmentation Dataset and Model
in International Conference on 3D Vision (3DV), 2024.
GAN-Avatar: Controllable Personalized GAN-based Human Head Avatar
Berna Kabadayi, Wojciech Zielonka, Bharat Lal Bhatnagar, Gerard Pons-Moll, Justus Thies
GAN-Avatar: Controllable Personalized GAN-based Human Head Avatar
in International Conference on 3D Vision (3DV), 2024.
Interaction Replica: Tracking human–object interaction and scene changes from human motion
Vladimir Guzov, Julian Chibane, Riccardo Marin, Yannan He, Yunus Saracoglu, Torsten Sattler, Gerard Pons-Moll
Interaction Replica: Tracking human–object interaction and scene changes from human motion
in International Conference on 3D Vision (3DV), 2024.
Generating Continual Human Motion in Diverse 3D Scenes
Aymen Mir, Xavier Puig, Angjoo Kanazawa, Gerard Pons-Moll
Generating Continual Human Motion in Diverse 3D Scenes
in International Conference on 3D Vision (3DV), 2024.
NSF: Neural Surface Fields for Human Modeling from Monocular Depth
Yuxuan Xue, Bharat Lal Bhatnagar, Riccardo Marin, Nikolaos Sarafianos, Yuanlu Xu, Gerard Pons-Moll, Tony Tung
NSF: Neural Surface Fields for Human Modeling from Monocular Depth
in ICCV, 2023.
HDHumans: A Hybrid Approach for High-fidelity Digital Humans
Marc Haberman, Lingjie Liu, Weipeng Xu, Gerard Pons-Moll, Michael Zollhoefer, Christian Theobalt
HDHumans: A Hybrid Approach for High-fidelity Digital Humans
in Symposium on Computer Animation(SCA), 2023.
Object pop-up: Can we infer 3D objects and their poses from human interactions alone?
Ilya A. Petrov, Riccardo Marin, Julian Chibane, Gerard Pons-Moll
Object pop-up: Can we infer 3D objects and their poses from human interactions alone?
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Visibility Aware Human-Object Interaction Tracking from Single RGB Camera
Xianghui Xie, Bharat Lal Bhatnagar, Gerard Pons-Moll
Visibility Aware Human-Object Interaction Tracking from Single RGB Camera
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulation
Verica Lazova, Vladimir Guzov, Kyle Olszewski, Sergey Tulyakov, Gerard Pons-Moll
Control-NeRF: Editable Feature Volumes for Scene Rendering and Manipulation
in Winter Conference on Applications of Computer Vision (WACV), 2023.
Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes
Keyang Zhou, Bharat Lal Bhatnagar, Bernt Schiele, Gerard Pons-Moll
Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes
in 2022 International Conference on 3D Vision (3DV), 2022.
Any-Shot GIN: Generalizing Implicit Networks for Reconstructing Novel Classes
Yongqin Xian, Julian Chibane, Bharat Lal Bhatnagar, Bernt Schiele, Zeynep Akata, Gerard Pons-Moll
Any-Shot GIN: Generalizing Implicit Networks for Reconstructing Novel Classes
in 2022 International Conference on 3D Vision (3DV), 2022.
Oral - Best Paper Honourable Mention
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes
Julian Chibane, Francis Engelmann, Tuan Anh Tran, Gerard Pons-Moll
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes
in European Conference on Computer Vision (ECCV), 2022.
Oral
CHORE: Contact, Human and Object REconstruction from a single RGB image
Xianghui Xie, Bharat Lal Bhatnagar, Gerard Pons-Moll
CHORE: Contact, Human and Object REconstruction from a single RGB image
in European Conference on Computer Vision (ECCV), 2022.
COUCH: Towards Controllable Human-Chair Interactions
Xiaohan Zhang, Bharat Lal Bhatnagar, Sebastian Starke, Vladimir Guzov, Gerard Pons-Moll
COUCH: Towards Controllable Human-Chair Interactions
in European Conference on Computer Vision (ECCV), 2022.
Learned Vertex Descent: A New Direction for 3D Human Model Fitting
Enric Corona, Gerard Pons-Moll, Guillem Alenya, Francesc Moreno-Noguer
Learned Vertex Descent: A New Direction for 3D Human Model Fitting
in European Conference on Computer Vision (ECCV), 2022.
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields
Garvita Tiwari, Dimitrije Antic, Jan Eric Lenssen, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll
Pose-NDF: Modeling Human Pose Manifolds with Neural Distance Fields
in European Conference on Computer Vision (ECCV), 2022.
Oral - Best Paper Honourable Mention
Skeleton-free Pose Transfer for Stylized 3D Characters
Zhouyingcheng Liao, Jimei Yang, Jun Saito, Gerard Pons-Moll, Yang Zhou
Skeleton-free Pose Transfer for Stylized 3D Characters
in European Conference on Computer Vision (ECCV), 2022.
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement
Keyang Zhou, Bharat Lal Bhatnagar, Jan Eric Lenssen, Gerard Pons-Moll
TOCH: Spatio-Temporal Object-to-Hand Correspondence for Motion Refinement
in European Conference on Computer Vision (ECCV), 2022.
BEHAVE: Dataset and Method for Tracking Human Object Interactions
Bharat Lal Bhatnagar, Xianghui Xie, Ilya A. Petrov, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll
BEHAVE: Dataset and Method for Tracking Human Object Interactions
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing
Garvita Tiwari, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll
Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing
in International Conference on Computer Vision (ICCV), 2021.
Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors
Vladimir Guzov, Aymen Mir, Torsten Sattler, Gerard Pons-Moll
Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-localization in Large Scenes from Body-Mounted Sensors
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
(First two authors contributed equally)
Oral, Best paper finalist
Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes
Julian Chibane, Aayush Bansal, Verica Lazova, Gerard Pons-Moll
Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
SMPLicit: Topology-aware Generative Model for Clothed People
Enric Corona, Albert Pumarola, Guillem Alenya, Gerard Pons-Moll, Francesc Moreno-Noguer
SMPLicit: Topology-aware Generative Model for Clothed People
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
D-NeRF: Neural Radiance Fields for Dynamic Scenes
Albert Pumarola, Enric Corona, Gerard Pons-Moll, Francesc Moreno-Noguer
D-NeRF: Neural Radiance Fields for Dynamic Scenes
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Learning Speech-driven 3D Conversational Gestures from Video
Ikhsanul Habibie, Weipeng Xu, Dushyant Mehta, Lingjie Liu, Hans-Peter Seidel, Gerard Pons-Moll, Mohamed Elgharib, Christian Theobalt
Learning Speech-driven 3D Conversational Gestures from Video
in ACM International Conference on Intelligent Virtual Agents (IVA), 2021.
Best Paper Award
Neural Unsigned Distance Fields for Implicit Function Learning
Julian Chibane, Aymen Mir, Gerard Pons-Moll
Neural Unsigned Distance Fields for Implicit Function Learning
in Advances in Neural Information Processing Systems (NeurIPS), 2020.
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration
Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration
in Advances in Neural Information Processing Systems (NeurIPS), 2020.
Oral
SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera
Denis Tome, Thiemo Alldieck, Patrick Peluse, Gerard Pons-Moll, Lourdes Agapito, Hernan Badino, Fernando de la Torre
SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera
in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.
PDF
Hosnieh Sattar, Katharina Kromholz, Gerard Pons-Moll, Mario Fritz
Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction
in European Conference on Computer Vision (ECCV), Workshops, 2020.
arXiv
Implicit Feature Networks for Texture Completion from Partial 3D Data
Julian Chibane, Gerard Pons-Moll
Implicit Feature Networks for Texture Completion from Partial 3D Data
in European Conference on Computer Vision (ECCV), Workshops, 2020.
1st Place Winner in all Categories of SHARP Challange
NASA: Neural Articulated Shape Approximation
Boyang Deng, JP Lewis, Timothy Jeruzalski, Gerard Pons-Moll, Geoffrey Hinton, Mohammad Norouzi, Andrea Tagliasacchi
NASA: Neural Articulated Shape Approximation
in The European Conference on Computer Vision (ECCV), 2020.
SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing
Garvita Tiwari, Bharat Lal Bhatnagar, Tony Tung, Gerard Pons-Moll
SIZER: A Dataset and Model for Parsing 3D Clothing and Learning Size Sensitive 3D Clothing
in European Conference on Computer Vision (ECCV), 2020.
Oral
Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction
Bharat Lal Bhatnagar, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll
Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction
in European Conference on Computer Vision (ECCV), 2020.
Oral
Unsupervised Shape and Pose Disentanglement for 3D Meshes
Keyang Zhou, Bharat Lal Bhatnagar, Gerard Pons-Moll
Unsupervised Shape and Pose Disentanglement for 3D Meshes
in European Conference on Computer Vision (ECCV), 2020.
Kinematic 3D Object Detection in Monocular Video
Garrick Brazil, Gerard Pons-Moll, Xiaoming Liu, Bernt Schiele
Kinematic 3D Object Detection in Monocular Video
in The European Conference on Computer Vision (ECCV), 2020.
XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera
Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Mohamed Elgharib, Pascal Fua, Hans-Peter Seidel, Helge Rhodin, Gerard Pons-Moll, Christian Theobalt
XNect: Real-time Multi-Person 3D Motion Capture with a Single RGB Camera
in ACM Transactions on Graphics, (Proc. SIGGRAPH), vol. 39, no. 4, 2020.
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
Julian Chibane, Thiemo Alldieck, Gerard Pons-Moll
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style
Chaitanya Patel, Zhouyingcheng Liao, Gerard Pons-Moll
TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Oral
Learning to Transfer Texture from Clothing Images to 3D Humans
Aymen Mir, Thiemo Alldieck, Gerard Pons-Moll
Learning to Transfer Texture from Clothing Images to 3D Humans
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
DeepCap: Monocular Human Performance Capture Using Weak Supervision
Marc Habermann, Weipeng Xu, Michael and Zollhoefer, Gerard Pons-Moll, Christian Theobalt
DeepCap: Monocular Human Performance Capture Using Weak Supervision
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Oral - Best Student Paper Honorable Mention
Learning to Dress 3D People in Generative Clothing
Qianli Ma, Jinlong Yang, Anurag Ranjan, Sergi Pujades, Gerard Pons-Moll, Siyu Tang, Michael Black
Learning to Dress 3D People in Generative Clothing
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
arXiv
Multi-Garment Net: Learning to Dress 3D People from Images
Bharat Lal Bhatnagar, Garvita Tiwari, Christian Theobalt, Gerard Pons-Moll
Multi-Garment Net: Learning to Dress 3D People from Images
in IEEE International Conference on Computer Vision (ICCV), 2019.
Tex2Shape: Detailed Full Human Body Geometry from a Single Image
Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt, Marcus Magnor
Tex2Shape: Detailed Full Human Body Geometry from a Single Image
in IEEE International Conference on Computer Vision (ICCV), 2019.
AMASS: Archive of Motion Capture as Surface Shapes
Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, Michael J. Black
AMASS: Archive of Motion Capture as Surface Shapes
in IEEE International Conference on Computer Vision (ICCV), 2019.
arXiv
360-Degree Textures of People in Clothing from a Single Image
Verica Lazova, Eldar Insafutdinov, Gerard Pons-Moll
360-Degree Textures of People in Clothing from a Single Image
in International Conference on 3D Vision (3DV), 2019.
DoubleFusion: Real-time Capture of Human Performance with Inner Body Shape from a Depth Sensor
Tao Yu, Jianhui Zhao, Zhang Zerong, Kaiwen Guo, Dai Quionhai, Hao Li, Gerard Pons-Moll, Yebin Liu
DoubleFusion: Real-time Capture of Human Performance with Inner Body Shape from a Depth Sensor
in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019.
LiveCap: Real-time Human Performance Capture from Monocular Video
Marc Habermann, Weipeng Xu, Michael and Zollhoefer, Gerard Pons-Moll, Christian Theobalt
LiveCap: Real-time Human Performance Capture from Monocular Video
in ACM Transactions on Graphics, (Proc. SIGGRAPH), 2019.
In the Wild Human Pose Estimation using Explicit 2D Features and Intermediate 3D Representations
Ikhsanul Habibie, Weipeng Xu, Dushyant Mehta, Gerard Pons-Moll, Christian Theobalt
In the Wild Human Pose Estimation using Explicit 2D Features and Intermediate 3D Representations
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Oral
Learning to Reconstruct People in Clothing from a Single RGB Camera
Thiemo Alldieck, Marcus Magnor, Bharat Lal Bhatnagar, Christian Theobalt, Gerard Pons-Moll
Learning to Reconstruct People in Clothing from a Single RGB Camera
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
SimulCap : Single-View Human Performance Capture with Cloth Simulation
Tao Yu, Zerong Zheng, Yuan Zhong, Jianhui Zhao, Dai Quionhai, Gerard Pons-Moll, Yebin Liu
SimulCap : Single-View Human Performance Capture with Cloth Simulation
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources
Hosnieh Sattar, Gerard Pons-Moll, Mario Fritz
Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources
in IEEE Winter Conference on Applications of Computer Vision (WACV 2019), 2019.
Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time
Yinghao Huang, Manuel Kaufmann, Emre Aksan, Michael J. Black, Otmar Hilliges, Gerard Pons-Moll
Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time
in ACM Transactions on Graphics, (Proc. SIGGRAPH Asia), vol. 37, no. 6, 185:1-185:15 2018.
NRST: Non-rigid Surface Tracking from Monocular Video
Marc Habermann, Weipeng Xu, Helge Rohdin, Michael Zollhoefer, Gerard Pons-Moll, Christian Theobalt
NRST: Non-rigid Surface Tracking from Monocular Video
in German Conference on Pattern Recognition (GCPR), 2018.
Oral
Detailed Human Avatars from Monocular Video
Thiemo Alldieck, Marcus Magnor, Weipeng Xu, Christian Theobalt, Gerard Pons-Moll
Detailed Human Avatars from Monocular Video
in International Conference on 3D Vision (3DV), 2018.
Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation
Mohamed Omran, Christoph Lassner, Gerard Pons-Moll, Peter Gehler, Bernt Schiele
Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation
in International Conference on 3D Vision (3DV), 2018.
Oral, 3DV Best Student Paper Award
Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera
Timo von Marcard, Roberto Henschel, Michael Black, Bodo Rosenhahn, Gerard Pons-Moll
Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera
in European Conference on Computer Vision (ECCV), 2018.
3D Poses in the Wild (3DPW) dataset available to download!
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Srinath Sridhar, Gerard Pons-Moll, Christian Theobalt
Single-Shot Multi-Person 3D Pose Estimation From Monocular RGB
in International Conference on 3D Vision (3DV), 2018.
DoubleFusion: Real-time Capture of Human Performance with Inner Body Shape from a Depth Sensor
Tao Yu, Zerong Zheng, Kaiwen Guo, Jianhui Zhao, Dai Quionhai, Hao Li, Gerard Pons-Moll, Yebin Liu
DoubleFusion: Real-time Capture of Human Performance with Inner Body Shape from a Depth Sensor
in IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018.
Oral
Video Based Reconstruction of 3D People Models
Thiemo Alldieck, Marcus Magnor, Weipeng Xu, Christian Theobalt, Gerard Pons-Moll
Video Based Reconstruction of 3D People Models
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
Spotlight
Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input
Dushyant Mehta, Oleksandr Sotnychenko, Franziska Mueller, Weipeng Xu, Srinath Sridhar, Gerard Pons-Moll, Christian Theobalt
Single-Shot Multi-Person 3D Body Pose Estimation From Monocular RGB Input
in arXiv preprint arXiv:1712.03453, 2018.
arXiv
A Generative Model of People in Clothing
Christoph Lassner, Gerard Pons-Moll, Peter V. Gehler
A Generative Model of People in Clothing
in Proceedings IEEE International Conference on Computer Vision (ICCV), IEEE, 2017.
Spotlight
ClothCap: Seamless 4D Clothing Capture and Retargeting
Gerard Pons-Moll, Sergi Pujades, Sonny Hu, Michael Black
ClothCap: Seamless 4D Clothing Capture and Retargeting
in ACM Transactions on Graphics (SIGGRAPH), vol. 36, no. 4, 2017.
Data-Driven Physics for Human Soft Tissue Animation
Meekyoung Kim, Gerard Pons-Moll, Sergi Pujades, Seungbae Bang, Jinwook Kim, Michael J. Black, Sung-Hee Lee
Data-Driven Physics for Human Soft Tissue Animation
in ACM Transactions on Graphics, (Proc. SIGGRAPH), vol. 36, no. 4, 2017.
Detailed, accurate, human shape estimation from clothed 3D scan sequences
Chao Zhang, Sergi Pujades, Michael Black, Gerard Pons-Moll
Detailed, accurate, human shape estimation from clothed 3D scan sequences
in IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017.
Spotlight
Dynamic FAUST: Registering Human Bodies in Motion
Federica Bogo, Javier Romero, Gerard Pons-Moll, Michael J. Black
Dynamic FAUST: Registering Human Bodies in Motion
in IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017.
Oral
Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs
Timo von Marcard, Bodo Rosenhahn, Michael Black, Gerard Pons-Moll
Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs
in Computer Graphics Forum 36(2), Proceedings of the 38th Annual Conference of the European Association for Computer Graphics (Eurographics), 349-360 2017.
Best Paper Award
Human Pose Estimation from Video and IMUs
Timo von Marcard, Gerard Pons-Moll, Bodo Rosenhahn
Human Pose Estimation from Video and IMUs
in Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2016.
SMPL: A Skinned Multi-Person Linear Model
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, Michael J. Black
SMPL: A Skinned Multi-Person Linear Model
in ACM Trans. Graphics (Proc. SIGGRAPH Asia), vol. 34, no. 6, ACM, 248:1-248:16 2015.
Dyna: A Model of Dynamic Human Shape in Motion
Gerard Pons-Moll, Javier Romero, Naureen Mahmood, Michael J. Black
Dyna: A Model of Dynamic Human Shape in Motion
in ACM Transactions on Graphics, (Proc. SIGGRAPH), vol. 34, no. 4, ACM, 120:1-120:14 2015.
Metric Regression Forests for Correspondence Estimation
Gerard Pons-Moll, Jonathan Taylor, Jamie Shotton, Aaron Hertzmann, Andrew Fitzgibbon
Metric Regression Forests for Correspondence Estimation
in International Journal of Computer Vision (IJCV), 1-13 2015.
PDF
Human Pose Estimation from Video and Inertial Sensors
Gerard Pons-Moll
Human Pose Estimation from Video and Inertial Sensors
PhD thesis, 2014.
PDF
Posebits for Monocular Human Pose Estimation
Gerard Pons-Moll, David J. Fleet, Bodo Rosenhahn
Posebits for Monocular Human Pose Estimation
in Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2345-2352 2014.
PDF
Metric Regression Forests for Human Pose Estimation
Gerard Pons-Moll, Jonathan Taylor, Jamie Shotton, Aaron Hertzmann, Andrew Fitzgibbon
Metric Regression Forests for Human Pose Estimation
in British Machine Vision Conference (BMVC), BMVA Press, 2013.
Best Paper Award
PDF
Data-driven Manifolds for Outdoor Motion Capture
Gerard Pons-Moll, Laura Leal-Taixe, Juergen Gall, B. Rosenhahn
Data-driven Manifolds for Outdoor Motion Capture
in Outdoor and Large-Scale Real-World Scene Analysis, Springer, 305-328 2012.
PDF
PCA-enhanced stochastic optimization methods
Alina Kuznetsova, Gerard Pons-Moll, Bodo Rosenhahn
PCA-enhanced stochastic optimization methods
in German Conference on Pattern Recognition (GCPR), 2012.
Branch-and-price global optimization for multi-view multi-object tracking
Laura Leal-Taixe, Gerard Pons-Moll, Bodo Rosenhahn
Branch-and-price global optimization for multi-view multi-object tracking
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
Exploiting pedestrian interaction via global optimization and social behaviors
Laura Leal-Taixe, Gerard Pons-Moll, Bodo Rosenhahn
Exploiting pedestrian interaction via global optimization and social behaviors
in Theoretic Foundations of Computer Vision: Outdoor and Large-Scale Real-World Scene Analysis, Springer, 2012.
PDF
Everybody needs somebody: modeling social and grouping behavior on a linear programming multiple people tracker
Laura Leal-Taixe, Gerard Pons-Moll, Bodo Rosenhahn
Everybody needs somebody: modeling social and grouping behavior on a linear programming multiple people tracker
in IEEE International Conference on Computer Vision Workshops (IICCVW), 2011.
Outdoor Human Motion Capture using Inverse Kinematics and von Mises-Fisher Sampling
Gerard Pons-Moll, Andreas Baak, Juergen Gall, Laura Leal-Taixe, Meinard Mueller, Hans-Peter Seidel, Bodo Rosenhahn
Outdoor Human Motion Capture using Inverse Kinematics and von Mises-Fisher Sampling
in IEEE International Conference on Computer Vision (ICCV), 1243-1250 2011.
Efficient and Robust Shape Matching for Model Based Human Motion Capture
Gerard Pons-Moll, Laura Leal-Taixe, Tri Truong, Bodo Rosenhahn
Efficient and Robust Shape Matching for Model Based Human Motion Capture
in German Conference on Pattern Recognition (GCPR), 416-425 2011.
Oral
Model-Based Pose Estimation
Gerard Pons-Moll, Bodo Rosenhahn
Model-Based Pose Estimation
139-170 2011.
PDF
Analyzing and Evaluating Markerless Motion Tracking Using Inertial Sensors
Andreas Baak, Thomas Helten, Meinard Müller, Gerard Pons-Moll, Bodo Rosenhahn, Hans-Peter Seidel
Analyzing and Evaluating Markerless Motion Tracking Using Inertial Sensors
in European Conference on Computer Vision (ECCV Workshops), 2010.
Multisensor-Fusion for 3D Full-Body Human Motion Capture
Gerard Pons-Moll, Andreas Baak, Thomas Helten, Meinard Müller, Hans-Peter Seidel, Bodo Rosenhahn
Multisensor-Fusion for 3D Full-Body Human Motion Capture
in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.
Ball Joints for Marker-less Human Motion Capture
Gerard Pons-Moll, Bodo Rosenhahn
Ball Joints for Marker-less Human Motion Capture
in IEEE Workshop on Applications of Computer Vision (WACV), 2009.
PDF
4D Cardiac Segmentation of the Epicardium and Left Ventricle
Gerard Pons-Moll, Gilead Tadmor, Rob S. MacLeod, Bodo Rosenhahn, Dana H. Brooks
4D Cardiac Segmentation of the Epicardium and Left Ventricle
in World Congress of Medical Physics and Biomedical Engineering (WC), 2009.
Parametric Modeling of the Beating Heart with Respiratory Motion Extracted from Magnetic Resonance Images
Gerard Pons-Moll, Cano Crosas, Gilead Tadmor, Rob MacLeod, Bodo Rosenhahn, Dana Brooks
Parametric Modeling of the Beating Heart with Respiratory Motion Extracted from Magnetic Resonance Images
in IEEE Computers in Cardiology (CINC), 2009.