| 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 | 2205 | 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 | 1204 | 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 | 608 | 2019 |
| 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 | 518* | 2022 |
| 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), 1-10, 2018 | 513 | 2018 |
| 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 | 481 | 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 | 468 | 2020 |
| Advances in neural rendering A Tewari, J Thies, B Mildenhall, P Srinivasan, E Tretschk, W Yifan, ... Computer Graphics Forum 41 (2), 703-735, 2022 | 378 | 2022 |
| 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 | 353 | 2018 |
| Decomposing nerf for editing via feature field distillation S Kobayashi, E Matsumoto, V Sitzmann Advances in Neural Information Processing Systems 35, 23311-23330, 2022 | 258 | 2022 |
| 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 | 239 | 2021 |
| 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 | 228 | 2020 |
| Unrolled optimization with deep priors S Diamond, V Sitzmann, F Heide, G Wetzstein arXiv preprint arXiv:1705.08041, 2017 | 216 | 2017 |
| 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 | 172* | 2022 |
| 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 | 168* | 2021 |
| Kubric: A scalable dataset generator K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 149 | 2022 |
| 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 | 134 | 2017 |
| 3d neural scene representations for visuomotor control Y Li, S Li, V Sitzmann, P Agrawal, A Torralba Conference on Robot Learning, 112-123, 2022 | 121 | 2022 |
| 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 | 103 | 2018 |
| 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 | 56* | 2020 |
Gordon WetzsteinStanford University在 stanford.edu 的电子邮件经过验证
