| 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 | 6106 | 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 | 2022 | 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 | 2003 | 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 | 1443 | 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 | 633 | 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 | 613 | 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 | 602 | 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 | 584 | 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 | 529 | 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 | 526 | 2019 |
| 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 | 497 | 2020 |
| 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 | 486 | 2018 |
| 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 | 484 | 2017 |
| 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 | 454* | 2020 |
| 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 | 430 | 2017 |
| Neural unsigned distance fields for implicit function learning J Chibane, G Pons-Moll Advances in Neural Information Processing Systems 33, 21638-21652, 2020 | 425 | 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 | 422 | 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 | 403 | 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 | 394 | 2018 |
| 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 | 392 | 2019 |
Michael J. BlackMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
