| Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image F Bogo, A Kanazawa, C Lassner, P Gehler, J Romero, MJ Black Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 1860 | 2016 |
| Unite the people: Closing the loop between 3d and 2d human representations C Lassner, J Romero, M Kiefel, F Bogo, MJ Black, PV Gehler Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 652 | 2017 |
| 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 | 549 | 2018 |
| Non-rigid neural radiance fields: Reconstruction and novel view synthesis of a dynamic scene from monocular video E Tretschk, A Tewari, V Golyanik, M Zollhöfer, C Lassner, C Theobalt Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 504 | 2021 |
| Advances in neural rendering A Tewari, J Thies, B Mildenhall, P Srinivasan, E Tretschk, W Yifan, ... Computer Graphics Forum 41 (2), 703-735, 2022 | 461 | 2022 |
| Neural 3d video synthesis from multi-view video T Li, M Slavcheva, M Zollhoefer, S Green, C Lassner, C Kim, T Schmidt, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 395 | 2022 |
| Arch: Animatable reconstruction of clothed humans Z Huang, Y Xu, C Lassner, H Li, T Tung Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 340 | 2020 |
| 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 | 283 | 2017 |
| Towards accurate marker-less human shape and pose estimation over time Y Huang, F Bogo, C Lassner, A Kanazawa, PV Gehler, J Romero, I Akhter, ... 2017 international conference on 3D vision (3DV), 421-430, 2017 | 236 | 2017 |
| Pulsar: Efficient sphere-based neural rendering C Lassner, M Zollhofer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 166 | 2021 |
| Efficient learning on point clouds with basis point sets S Prokudin, C Lassner, J Romero Proceedings of the IEEE International Conference on Computer Vision, 0-0, 2019 | 125 | 2019 |
| Early stopping without a validation set M Mahsereci, L Balles, C Lassner, P Hennig arXiv preprint arXiv:1703.09580, 2017 | 123 | 2017 |
| Tava: Template-free animatable volumetric actors R Li, J Tanke, M Vo, M Zollhöfer, J Gall, A Kanazawa, C Lassner European Conference on Computer Vision, 419-436, 2022 | 122 | 2022 |
| Accelerating 3d deep learning with pytorch3d J Johnson, N Ravi, J Reizenstein, D Novotny, S Tulsiani, C Lassner, ... SIGGRAPH Asia 2020 courses, 1-1, 2020 | 68 | 2020 |
| Anr: Articulated neural rendering for virtual avatars A Raj, J Tanke, J Hays, M Vo, C Stoll, C Lassner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 66 | 2021 |
| Texmesh: Reconstructing detailed human texture and geometry from rgb-d video T Zhi, C Lassner, T Tung, C Stoll, SG Narasimhan, M Vo Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 49 | 2020 |
| Self-supervised neural articulated shape and appearance models F Wei, R Chabra, L Ma, C Lassner, M Zollhöfer, S Rusinkiewicz, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 31 | 2022 |
| Chained representation cycling: Learning to estimate 3D human pose and shape by cycling between representations N Rueegg, C Lassner, M Black, K Schindler Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5561-5569, 2020 | 27 | 2020 |
| Efficient estimation of boundary integrals for path-space differentiable rendering K Yan, C Lassner, B Budge, Z Dong, S Zhao ACM Transactions on Graphics (TOG) 41 (4), 1-13, 2022 | 24 | 2022 |
| Virtual elastic objects H Chen, E Tretschk, T Stuyck, P Kadlecek, L Kavan, E Vouga, C Lassner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 24 | 2022 |
Michael ZollhoeferDirector, Research Scientist, Reality Labs Research, MetaEmail verificata su meta.com
