| NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis B Mildenhall, PP Srinivasan, M Tancik, JT Barron, R Ramamoorthi, R Ng European Conference on Computer Vision, 2020 | 10469 | 2020 |
| Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains M Tancik, PP Srinivasan, B Mildenhall, S Fridovich-Keil, N Raghavan, ... Neural Information Processing Systems (NeurIPS), 2020 | 2459 | 2020 |
| DreamFusion: Text-to-3D using 2D Diffusion B Poole, A Jain, J Barron, B Mildenhall International Conference on Learning Representations (ICLR), 2023 | 2001 | 2023 |
| Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields JT Barron, B Mildenhall, M Tancik, P Hedman, R Martin-Brualla, ... International Conference on Computer Vision (ICCV), 2021 | 1974 | 2021 |
| NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections R Martin-Brualla, N Radwan, MSM Sajjadi, JT Barron, A Dosovitskiy, ... Computer Vision and Pattern Recognition (CVPR), 2021 | 1611 | 2021 |
| Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields JT Barron, B Mildenhall, D Verbin, PP Srinivasan, P Hedman Computer Vision and Pattern Recognition (CVPR), 2022 | 1609 | 2022 |
| Multiscale Combinatorial Grouping P Arbeláez, J Pont-Tuset, JT Barron, F Marques, J Malik Computer Vision and Pattern Recognition (CVPR), 2014 | 1482 | 2014 |
| Nerfies: Deformable Neural Radiance Fields K Park, U Sinha, JT Barron, S Bouaziz, DB Goldman, SM Seitz, ... International Conference on Computer Vision (ICCV), 2021 | 1438 | 2021 |
| IBRNet: Learning multi-view image-based rendering Q Wang, Z Wang, K Genova, PP Srinivasan, H Zhou, JT Barron, ... Computer Vision and Pattern Recognition (CVPR), 2021 | 908 | 2021 |
| Shape, Illumination, and Reflectance from Shading JT Barron, J Malik Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014 | 857 | 2014 |
| Deep Bilateral Learning for Real-Time Image Enhancement M Gharbi, J Chen, JT Barron, SW Hasinoff, F Durand SIGGRAPH, 2017 | 825 | 2017 |
| HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields K Park, U Sinha, P Hedman, JT Barron, S Bouaziz, DB Goldman, ... SIGGRAPH Asia, 2021 | 813 | 2021 |
| Block-NeRF: Scalable Large Scene Neural View Synthesis M Tancik, V Casser, X Yan, S Pradhan, B Mildenhall, PP Srinivasan, ... Computer Vision and Pattern Recognition (CVPR), 2022 | 780 | 2022 |
| A General and Adaptive Robust Loss Function JT Barron Computer Vision and Pattern Recognition (CVPR), 2019 | 744 | 2019 |
| Multiscale combinatorial grouping for image segmentation and object proposal generation J Pont-Tuset, P Arbelaez, JT Barron, F Marques, J Malik Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016 | 696 | 2016 |
| Ref-NeRF: Structured view-dependent appearance for neural radiance fields D Verbin, P Hedman, B Mildenhall, T Zickler, JT Barron, PP Srinivasan Computer Vision and Pattern Recognition (CVPR), 2022 | 608* | 2022 |
| NeRV: Neural reflectance and visibility fields for relighting and view synthesis PP Srinivasan, B Deng, X Zhang, M Tancik, B Mildenhall, JT Barron Computer Vision and Pattern Recognition (CVPR), 2021 | 608 | 2021 |
| RegNeRF: Regularizing Neural Radiance Fields for View Synthesis From Sparse Inputs M Niemeyer, JT Barron, B Mildenhall, MSM Sajjadi, A Geiger, N Radwan Computer Vision and Pattern Recognition (CVPR), 2022 | 602 | 2022 |
| Zero-Shot Text-Guided Object Generation With Dream Fields A Jain, B Mildenhall, JT Barron, P Abbeel, B Poole Computer Vision and Pattern Recognition (CVPR), 2022 | 580 | 2022 |
| A Category-Level 3D Object Dataset: Putting the Kinect to Work A Janoch, S Karayev, Y Jia, JT Barron, M Fritz, K Saenko, T Darrell Consumer Depth Cameras for Computer Vision: Research Topics and Applications …, 2013 | 579 | 2013 |
Pratul SrinivasanResearch Scientist at Google DeepMindVerified email at google.com
