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 | 1716 | 2021 |
Nerf in the wild: Neural radiance fields for unconstrained photo collections R Martin-Brualla, N Radwan, MSM Sajjadi, JT Barron, A Dosovitskiy, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 1431 | 2021 |
Nerfies: Deformable neural radiance fields K Park, U Sinha, JT Barron, S Bouaziz, DB Goldman, SM Seitz, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 1290 | 2021 |
Ibrnet: Learning multi-view image-based rendering Q Wang, Z Wang, K Genova, PP Srinivasan, H Zhou, JT Barron, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 834 | 2021 |
Hypernerf: A higher-dimensional representation for topologically varying neural radiance fields K Park, U Sinha, P Hedman, JT Barron, S Bouaziz, DB Goldman, ... arXiv preprint arXiv:2106.13228, 2021 | 687 | 2021 |
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 | 515 | 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 | 442 | 2022 |
Nerf in the dark: High dynamic range view synthesis from noisy raw images B Mildenhall, P Hedman, R Martin-Brualla, PP Srinivasan, JT Barron Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 360 | 2022 |
Neural rgb-d surface reconstruction D Azinović, R Martin-Brualla, DB Goldman, M Nießner, J Thies Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 270 | 2022 |
Neural rerendering in the wild M Meshry, DB Goldman, S Khamis, H Hoppe, R Pandey, N Snavely, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 227 | 2019 |
Novel view synthesis with diffusion models D Watson, W Chan, R Martin-Brualla, J Ho, A Tagliasacchi, M Norouzi arXiv preprint arXiv:2210.04628, 2022 | 225 | 2022 |
Lookingood: Enhancing performance capture with real-time neural re-rendering R Martin-Brualla, R Pandey, S Yang, P Pidlypenskyi, J Taylor, J Valentin, ... arXiv preprint arXiv:1811.05029, 2018 | 146 | 2018 |
Sharf: Shape-conditioned radiance fields from a single view K Rematas, R Martin-Brualla, V Ferrari arXiv preprint arXiv:2102.08860, 2021 | 110 | 2021 |
Project starline: A high-fidelity telepresence system J Lawrence, R Overbeck, T Prives, T Fortes, N Roth, B Newman ACM SIGGRAPH 2024 Emerging Technologies, 1-2, 2024 | 94 | 2024 |
Viewport: A distributed, immersive teleconferencing system with infrared dot pattern C Zhang, Q Cai, PA Chou, Z Zhang, R Martin-Brualla IEEE MultiMedia 20 (1), 17-27, 2013 | 94 | 2013 |
Fig-nerf: Figure-ground neural radiance fields for 3d object category modelling C Xie, K Park, R Martin-Brualla, M Brown 2021 International Conference on 3D Vision (3DV), 962-971, 2021 | 87 | 2021 |
Time-lapse mining from internet photos R Martin-Brualla, D Gallup, SM Seitz ACM Transactions on Graphics (TOG) 34 (4), 1-8, 2015 | 74 | 2015 |
3D Wikipedia: Using online text to automatically label and navigate reconstructed geometry BC Russell, R Martin-Brualla, DJ Butler, SM Seitz, L Zettlemoyer ACM Transactions on Graphics (TOG) 32 (6), 1-10, 2013 | 45 | 2013 |
Volumetric capture of humans with a single rgbd camera via semi-parametric learning R Pandey, A Tkach, S Yang, P Pidlypenskyi, J Taylor, R Martin-Brualla, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 43 | 2019 |
Camp: Camera preconditioning for neural radiance fields K Park, P Henzler, B Mildenhall, JT Barron, R Martin-Brualla ACM Transactions on Graphics (TOG) 42 (6), 1-11, 2023 | 41 | 2023 |