| 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 | 4673 | 2020 |
| Multiscale combinatorial grouping P Arbeláez, J Pont-Tuset, JT Barron, F Marques, J Malik Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 1425 | 2014 |
| Fourier features let networks learn high frequency functions in low dimensional domains M Tancik, PP Srinivasan, B Mildenhall, S Fridovich-Keil, N Raghavan, ... Advances in Neural Information Processing Systems, 2020 | 1350 | 2020 |
| 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 | 842 | 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 | 767 | 2021 |
| Shape, illumination, and reflectance from shading JT Barron, J Malik IEEE transactions on pattern analysis and machine intelligence 37 (8), 1670-1687, 2014 | 752 | 2014 |
| 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 | 734 | 2021 |
| Deep bilateral learning for real-time image enhancement M Gharbi, J Chen, JT Barron, SW Hasinoff, F Durand ACM Transactions on Graphics (TOG) 36 (4), 1-12, 2017 | 683 | 2017 |
| Multiscale combinatorial grouping for image segmentation and object proposal generation J Pont-Tuset, P Arbelaez, JT Barron, F Marques, J Malik IEEE transactions on pattern analysis and machine intelligence 39 (1), 128-140, 2016 | 616 | 2016 |
| 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 | 545 | 2013 |
| A general and adaptive robust loss function JT Barron Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 530 | 2019 |
| Dreamfusion: Text-to-3d using 2d diffusion B Poole, A Jain, JT Barron, B Mildenhall arXiv preprint arXiv:2209.14988, 2022 | 476 | 2022 |
| Mip-nerf 360: Unbounded anti-aliased neural radiance fields JT Barron, B Mildenhall, D Verbin, PP Srinivasan, P Hedman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 471 | 2022 |
| 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 | 463 | 2021 |
| Burst photography for high dynamic range and low-light imaging on mobile cameras SW Hasinoff, D Sharlet, R Geiss, A Adams, JT Barron, F Kainz, J Chen, ... ACM Transactions on Graphics (ToG) 35 (6), 1-12, 2016 | 452 | 2016 |
| Semantic image segmentation with task-specific edge detection using cnns and a discriminatively trained domain transform LC Chen, JT Barron, G Papandreou, K Murphy, AL Yuille Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 404 | 2016 |
| The fast bilateral solver JT Barron, B Poole European Conference on Computer Vision, 617-632, 2016 | 397 | 2016 |
| 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 | 383 | 2021 |
| Unprocessing images for learned raw denoising T Brooks, B Mildenhall, T Xue, J Chen, D Sharlet, JT Barron Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 369 | 2019 |
| Burst denoising with kernel prediction networks B Mildenhall, JT Barron, J Chen, D Sharlet, R Ng, R Carroll Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 369 | 2018 |
Pratul SrinivasanResearch Scientist at Google Researchgoogle.com의 이메일 확인됨
