| Expressive body capture: 3D hands, face, and body from a single image G Pavlakos, V Choutas, N Ghorbani, T Bolkart, AAA Osman, D Tzionas, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 1493 | 2019 |
| Learning a model of facial shape and expression from 4D scans. T Li, T Bolkart, MJ Black, H Li, J Romero ACM Trans. Graph. 36 (6), 194:1-194:17, 2017 | 862 | 2017 |
| Generating 3D faces using Convolutional Mesh Autoencoders A Ranjan, T Bolkart, S Sanyal, MJ Black European Conference on Computer Vision (ECCV), 725--741, 2018 | 634 | 2018 |
| Learning an animatable detailed 3D face model from in-the-wild images Y Feng, H Feng, MJ Black, T Bolkart ACM Transactions on Graphics (ToG) 40 (4), 1-13, 2021 | 478 | 2021 |
| 3D morphable face models—past, present, and future B Egger, WAP Smith, A Tewari, S Wuhrer, M Zollhoefer, T Beeler, ... ACM Transactions on Graphics (TOG) 39 (5), 1-38, 2020 | 400 | 2020 |
| Capture, learning, and synthesis of 3D speaking styles D Cudeiro, T Bolkart, C Laidlaw, A Ranjan, MJ Black Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 316 | 2019 |
| Learning to regress 3D face shape and expression from an image without 3D supervision S Sanyal, T Bolkart, H Feng, MJ Black Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 310 | 2019 |
| STAR: Sparse Trained Articulated Human Body Regressor AAA Osman, T Bolkart, MJ Black European Conference on Computer Vision, 598-613, 2020 | 282 | 2020 |
| Monocular expressive body regression through body-driven attention V Choutas, G Pavlakos, T Bolkart, D Tzionas, MJ Black Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 228 | 2020 |
| Emoca: Emotion driven monocular face capture and animation R Daněček, MJ Black, T Bolkart Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 127 | 2022 |
| Review of statistical shape spaces for 3D data with comparative analysis for human faces A Brunton, A Salazar, T Bolkart, S Wuhrer Computer Vision and Image Understanding 128, 1-17, 2014 | 116* | 2014 |
| Collaborative regression of expressive bodies using moderation Y Feng, V Choutas, T Bolkart, D Tzionas, MJ Black 2021 International Conference on 3D Vision (3DV), 792-804, 2021 | 115 | 2021 |
| Fitting a 3D morphable model to edges: A comparison between hard and soft correspondences A Bas, WAP Smith, T Bolkart, S Wuhrer Computer Vision–ACCV 2016 Workshops: ACCV 2016 International Workshops …, 2017 | 107 | 2017 |
| Towards Metrical Reconstruction of Human Faces W Zielonka, T Bolkart, J Thies European Conference on Computer Vision, 2022 | 101 | 2022 |
| Multilinear wavelets: A statistical shape space for human faces A Brunton, T Bolkart, S Wuhrer Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 98 | 2014 |
| Generating holistic 3d human motion from speech H Yi, H Liang, Y Liu, Q Cao, Y Wen, T Bolkart, D Tao, MJ Black Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 77 | 2023 |
| A groupwise multilinear correspondence optimization for 3D faces T Bolkart, S Wuhrer Proceedings of the IEEE international conference on computer vision, 3604-3612, 2015 | 71 | 2015 |
| Instant volumetric head avatars W Zielonka, T Bolkart, J Thies Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 68 | 2023 |
| GIF: Generative Interpretable Faces P Ghosh, PS Gupta, R Uziel, A Ranjan, M Black, T Bolkart International Conference on 3D Vision (3DV), 2020 | 68 | 2020 |
| Capturing and animation of body and clothing from monocular video Y Feng, J Yang, M Pollefeys, MJ Black, T Bolkart SIGGRAPH Asia 2022 Conference Papers, 1-9, 2022 | 61 | 2022 |
Michael J. BlackMax Planck Institute for Intelligent Systems在 tuebingen.mpg.de 的电子邮件经过验证
