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 | 1725 | 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 | 618 | 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 | 534 | 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 | 413 | 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 | 373 | 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 | 317 | 2020 |
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 | 288 | 2022 |
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 | 278 | 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 | 227 | 2017 |
Pulsar: Efficient sphere-based neural rendering C Lassner, M Zollhofer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 137 | 2021 |
Early stopping without a validation set M Mahsereci, L Balles, C Lassner, P Hennig arXiv preprint arXiv:1703.09580, 2017 | 110 | 2017 |
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 | 98 | 2019 |
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 | 94 | 2022 |
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 |
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 | 54 | 2020 |
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 | 45 | 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 | 27 | 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 | 22 | 2020 |
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 | 18 | 2022 |
Hvh: Learning a hybrid neural volumetric representation for dynamic hair performance capture Z Wang, G Nam, T Stuyck, S Lombardi, M Zollhöfer, J Hodgins, C Lassner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 16 | 2022 |