| NeRF: Representing scenes as neural radiance fields for view synthesis B Mildenhall, PP Srinivasan, M Tancik, JT Barron, R Ramamoorthi, R Ng arXiv preprint arXiv:2003.08934, 2020 | 7409 | 2020 |
| Fourier features let networks learn high frequency functions in low dimensional domains M Tancik, P Srinivasan, B Mildenhall, S Fridovich-Keil, N Raghavan, ... Advances in neural information processing systems 33, 7537-7547, 2020 | 1891 | 2020 |
| pixelnerf: Neural radiance fields from one or few images A Yu, V Ye, M Tancik, A Kanazawa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 1358 | 2021 |
| Mip-nerf: A multiscale representation for anti-aliasing neural radiance fields JT Barron, B Mildenhall, M Tancik, P Hedman, R Martin-Brualla, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 1344 | 2021 |
| Plenoxels: Radiance fields without neural networks S Fridovich-Keil, A Yu, M Tancik, Q Chen, B Recht, A Kanazawa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 1087* | 2022 |
| Plenoctrees for real-time rendering of neural radiance fields A Yu, R Li, M Tancik, H Li, R Ng, A Kanazawa Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 844 | 2021 |
| Block-nerf: Scalable large scene neural view synthesis M Tancik, V Casser, X Yan, S Pradhan, B Mildenhall, PP Srinivasan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 575 | 2022 |
| Nerv: Neural reflectance and visibility fields for relighting and view synthesis PP Srinivasan, B Deng, X Zhang, M Tancik, B Mildenhall, JT Barron Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 505 | 2021 |
| Putting nerf on a diet: Semantically consistent few-shot view synthesis A Jain, M Tancik, P Abbeel Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 369 | 2021 |
| Stegastamp: Invisible hyperlinks in physical photographs M Tancik, B Mildenhall, R Ng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 323 | 2020 |
| Nerfstudio: A modular framework for neural radiance field development M Tancik, E Weber, E Ng, R Li, B Yi, T Wang, A Kristoffersen, J Austin, ... ACM SIGGRAPH 2023 Conference Proceedings, 1-12, 2023 | 302 | 2023 |
| Learned initializations for optimizing coordinate-based neural representations M Tancik, B Mildenhall, T Wang, D Schmidt, PP Srinivasan, JT Barron, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 253 | 2021 |
| Instruct-nerf2nerf: Editing 3d scenes with instructions A Haque, M Tancik, AA Efros, A Holynski, A Kanazawa Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 192 | 2023 |
| Lerf: Language embedded radiance fields J Kerr, CM Kim, K Goldberg, A Kanazawa, M Tancik Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 176 | 2023 |
| Towards photography through realistic fog G Satat, M Tancik, R Raskar 2018 IEEE International Conference on Computational Photography (ICCP), 1-10, 2018 | 148 | 2018 |
| Object classification through scattering media with deep learning on time resolved measurement G Satat, M Tancik, O Gupta, B Heshmat, R Raskar Optics express 25 (15), 17466-17479, 2017 | 145 | 2017 |
| Lighthouse: Predicting lighting volumes for spatially-coherent illumination PP Srinivasan, B Mildenhall, M Tancik, JT Barron, R Tucker, N Snavely Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 95 | 2020 |
| Lensless imaging with compressive ultrafast sensing G Satat, M Tancik, R Raskar IEEE Transactions on Computational Imaging 3 (3), 398-407, 2017 | 80 | 2017 |
| Nerfacc: A general nerf acceleration toolbox R Li, M Tancik, A Kanazawa arXiv preprint arXiv:2210.04847, 2022 | 74 | 2022 |
| Evo-nerf: Evolving nerf for sequential robot grasping of transparent objects J Kerr, L Fu, H Huang, Y Avigal, M Tancik, J Ichnowski, A Kanazawa, ... 6th annual conference on robot learning, 2022 | 53 | 2022 |
Ben MildenhallResearch scientist at Google Research在 google.com 的电子邮件经过验证
