| Scannet: Richly-annotated 3d reconstructions of indoor scenes A Dai, AX Chang, M Savva, M Halber, T Funkhouser, M Nießner Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1519 | 2017 |
| Volumetric and multi-view cnns for object classification on 3d data CR Qi, H Su, M Nießner, A Dai, M Yan, LJ Guibas Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1402 | 2016 |
| Face2face: Real-time face capture and reenactment of rgb videos J Thies, M Zollhofer, M Stamminger, C Theobalt, M Nießner Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1188 | 2016 |
| Matterport3d: Learning from rgb-d data in indoor environments A Chang, A Dai, T Funkhouser, M Halber, M Niessner, M Savva, S Song, ... arXiv preprint arXiv:1709.06158, 2017 | 842 | 2017 |
| Real-time 3D reconstruction at scale using voxel hashing M Nießner, M Zollhöfer, S Izadi, M Stamminger ACM Transactions on Graphics (ToG) 32 (6), 1-11, 2013 | 810 | 2013 |
| Faceforensics++: Learning to detect manipulated facial images A Rossler, D Cozzolino, L Verdoliva, C Riess, J Thies, M Nießner Proceedings of the IEEE/CVF International Conference on Computer Vision, 1-11, 2019 | 803 | 2019 |
| Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface reintegration A Dai, M Nießner, M Zollhöfer, S Izadi, C Theobalt ACM Transactions on Graphics (ToG) 36 (4), 1, 2017 | 616 | 2017 |
| Deferred neural rendering: Image synthesis using neural textures J Thies, M Zollhöfer, M Nießner ACM Transactions on Graphics (TOG) 38 (4), 1-12, 2019 | 526 | 2019 |
| 3dmatch: Learning local geometric descriptors from rgb-d reconstructions A Zeng, S Song, M Nießner, M Fisher, J Xiao, T Funkhouser Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 520 | 2017 |
| Real-time non-rigid reconstruction using an RGB-D camera M Zollhöfer, M Nießner, S Izadi, C Rehmann, C Zach, M Fisher, C Wu, ... ACM Transactions on Graphics (ToG) 33 (4), 1-12, 2014 | 431 | 2014 |
| Shape completion using 3d-encoder-predictor cnns and shape synthesis A Dai, C Ruizhongtai Qi, M Nießner Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 426 | 2017 |
| Deep video portraits H Kim, P Garrido, A Tewari, W Xu, J Thies, M Niessner, P Pérez, ... ACM Transactions on Graphics (TOG) 37 (4), 1-14, 2018 | 392 | 2018 |
| Real-time expression transfer for facial reenactment. J Thies, M Zollhöfer, M Nießner, L Valgaerts, M Stamminger, C Theobalt ACM Trans. Graph. 34 (6), 183:1-183:14, 2015 | 293 | 2015 |
| Volumedeform: Real-time volumetric non-rigid reconstruction M Innmann, M Zollhöfer, M Nießner, C Theobalt, M Stamminger European Conference on Computer Vision, 362-379, 2016 | 274 | 2016 |
| Deepvoxels: Learning persistent 3d feature embeddings V Sitzmann, J Thies, F Heide, M Nießner, G Wetzstein, M Zollhofer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 271 | 2019 |
| Faceforensics: A large-scale video dataset for forgery detection in human faces A Rössler, D Cozzolino, L Verdoliva, C Riess, J Thies, M Nießner arXiv preprint arXiv:1803.09179, 2018 | 243 | 2018 |
| 3d-sis: 3d semantic instance segmentation of rgb-d scans J Hou, A Dai, M Nießner Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 237 | 2019 |
| 3dmv: Joint 3d-multi-view prediction for 3d semantic scene segmentation A Dai, M Nießner Proceedings of the European Conference on Computer Vision (ECCV), 452-468, 2018 | 208 | 2018 |
| Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans A Dai, D Ritchie, M Bokeloh, S Reed, J Sturm, M Nießner Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 201 | 2018 |
| State of the art on 3D reconstruction with RGB‐D cameras M Zollhöfer, P Stotko, A Görlitz, C Theobalt, M Nießner, R Klein, A Kolb Computer graphics forum 37 (2), 625-652, 2018 | 197 | 2018 |
