| Implicit neural representations with periodic activation functions V Sitzmann, J Martel, A Bergman, D Lindell, G Wetzstein Advances in Neural Information Processing Systems 33, 7462-7473, 2020 | 1222 | 2020 |
| Scene representation networks: Continuous 3d-structure-aware neural scene representations V Sitzmann, M Zollhöfer, G Wetzstein Advances in Neural Information Processing Systems 32, 2019 | 836 | 2019 |
| 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 | 427 | 2019 |
| Saliency in VR: How do people explore virtual environments? V Sitzmann, A Serrano, A Pavel, M Agrawala, D Gutierrez, B Masia, ... IEEE transactions on visualization and computer graphics 24 (4), 1633-1642, 2018 | 383 | 2018 |
| Hybrid optical-electronic convolutional neural networks with optimized diffractive optics for image classification J Chang, V Sitzmann, X Dun, W Heidrich, G Wetzstein Scientific reports 8 (1), 12324, 2018 | 376 | 2018 |
| State of the art on neural rendering A Tewari, O Fried, J Thies, V Sitzmann, S Lombardi, K Sunkavalli, ... Computer Graphics Forum 39 (2), 701-727, 2020 | 318 | 2020 |
| End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging V Sitzmann, S Diamond, Y Peng, X Dun, S Boyd, W Heidrich, F Heide, ... ACM Transactions on Graphics (TOG) 37 (4), 1-13, 2018 | 255 | 2018 |
| Neural fields in visual computing and beyond Y Xie, T Takikawa, S Saito, O Litany, S Yan, N Khan, F Tombari, ... Computer Graphics Forum 41 (2), 641-676, 2022 | 207* | 2022 |
| Unrolled optimization with deep priors S Diamond, V Sitzmann, F Heide, G Wetzstein arXiv preprint arXiv:1705.08041, 2017 | 186 | 2017 |
| Advances in neural rendering A Tewari, J Thies, B Mildenhall, P Srinivasan, E Tretschk, W Yifan, ... Computer Graphics Forum 41 (2), 703-735, 2022 | 165 | 2022 |
| Metasdf: Meta-learning signed distance functions V Sitzmann, E Chan, R Tucker, N Snavely, G Wetzstein Advances in Neural Information Processing Systems 33, 10136-10147, 2020 | 147 | 2020 |
| Dirty pixels: Towards end-to-end image processing and perception S Diamond, V Sitzmann, F Julca-Aguilar, S Boyd, G Wetzstein, F Heide ACM Transactions on Graphics (TOG) 40 (3), 1-15, 2021 | 141* | 2021 |
| Light field networks: Neural scene representations with single-evaluation rendering V Sitzmann, S Rezchikov, B Freeman, J Tenenbaum, F Durand Advances in Neural Information Processing Systems 34, 19313-19325, 2021 | 112 | 2021 |
| Movie editing and cognitive event segmentation in virtual reality video A Serrano, V Sitzmann, J Ruiz-Borau, G Wetzstein, D Gutierrez, B Masia ACM Transactions on Graphics (TOG) 36 (4), 1-12, 2017 | 112 | 2017 |
| Towards a machine-learning approach for sickness prediction in 360 stereoscopic videos N Padmanaban, T Ruban, V Sitzmann, AM Norcia, G Wetzstein IEEE transactions on visualization and computer graphics 24 (4), 1594-1603, 2018 | 85 | 2018 |
| Neural descriptor fields: Se (3)-equivariant object representations for manipulation A Simeonov, Y Du, A Tagliasacchi, JB Tenenbaum, A Rodriguez, ... 2022 International Conference on Robotics and Automation (ICRA), 6394-6400, 2022 | 67* | 2022 |
| 3d neural scene representations for visuomotor control Y Li, S Li, V Sitzmann, P Agrawal, A Torralba Conference on Robot Learning, 112-123, 2022 | 61 | 2022 |
| Decomposing nerf for editing via feature field distillation S Kobayashi, E Matsumoto, V Sitzmann arXiv preprint arXiv:2205.15585, 2022 | 51 | 2022 |
| Semantic implicit neural scene representations with semi-supervised training APS Kohli, V Sitzmann, G Wetzstein 2020 International Conference on 3D Vision (3DV), 423-433, 2020 | 41* | 2020 |
| 3D printing: A qualitative assessment of applications, recent trends and the technology's future potential L Bechthold, V Fischer, A Hainzlmaier, D Hugenroth, L Ivanova, K Kroth, ... Studien zum deutschen Innovationssystem, 2015 | 40* | 2015 |
Gordon WetzsteinStanford University, Electrical Engineering DepartmentVerified email at stanford.edu
