| SMPL: A skinned multi-person linear model M Loper, N Mahmood, J Romero, G Pons-Moll, MJ Black ACM transactions on graphics (TOG) 34 (6), 1-16, 2015 | 2641 | 2015 |
| 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 | 630 | 2018 |
| 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 | 580 | 2019 |
| 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 | 491 | 2021 |
| 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 | 429 | 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 | 355 | 2017 |
| 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 | 350 | 2018 |
| 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 | 338 | 2015 |
| 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 | 336 | 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 | 332 | 2020 |
| 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 | 306 | 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 | 272* | 2020 |
| 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 | 272 | 2018 |
| 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 | 269 | 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 | 261 | 2019 |
| 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 | 260 | 2019 |
| A generative model of people in clothing C Lassner, G Pons-Moll, PV Gehler Proceedings of the IEEE international conference on computer vision, 853-862, 2017 | 254 | 2017 |
| Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker L Leal-Taixé, G Pons-Moll, B Rosenhahn 2011 IEEE international conference on computer vision workshops (ICCV …, 2011 | 244 | 2011 |
| Detailed, accurate, human shape estimation from clothed 3D scan sequences C Zhang, S Pujades, MJ Black, G Pons-Moll Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 242 | 2017 |
| Sparse inertial poser: Automatic 3d human pose estimation from sparse imus T Von Marcard, B Rosenhahn, MJ Black, G PonsMoll Computer graphics forum 36 (2), 349-360, 2017 | 221 | 2017 |
Michael J. BlackMax Planck Institute for Intelligent Systems在 tuebingen.mpg.de 的电子邮件经过验证
