| 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 | 10556 | 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 | 2483 | 2020 |
| DreamFusion: Text-to-3D using 2D Diffusion B Poole, A Jain, J Barron, B Mildenhall International Conference on Learning Representations (ICLR), 2023 | 2018 | 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 | 1990 | 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 | 1634 | 2022 |
| 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 | 1621 | 2021 |
| Multiscale Combinatorial Grouping P Arbeláez, J Pont-Tuset, JT Barron, F Marques, J Malik Computer Vision and Pattern Recognition (CVPR), 2014 | 1483 | 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 | 1445 | 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 | 911 | 2021 |
| Shape, Illumination, and Reflectance from Shading JT Barron, J Malik Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014 | 858 | 2014 |
| Deep Bilateral Learning for Real-Time Image Enhancement M Gharbi, J Chen, JT Barron, SW Hasinoff, F Durand SIGGRAPH, 2017 | 828 | 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 | 818 | 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 | 787 | 2022 |
| A General and Adaptive Robust Loss Function JT Barron Computer Vision and Pattern Recognition (CVPR), 2019 | 745 | 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 | 698 | 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 | 612* | 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 | 611 | 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 | 608 | 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 | 583 | 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 DeepMindПодтвержден адрес электронной почты в домене google.com
Ben MildenhallCofounder, World LabsПодтвержден адрес электронной почты в домене worldlabs.ai
Peter HedmanStaff Research Scientist at Google DeepMindПодтвержден адрес электронной почты в домене google.com
Ricardo Martin-BruallaGoogleПодтвержден адрес электронной почты в домене google.com
Ren NgProfessor in Computer Science, University of California, BerkeleyПодтвержден адрес электронной почты в домене berkeley.edu
Matthew TancikLuma AIПодтвержден адрес электронной почты в домене berkeley.edu
Ravi RamamoorthiProfessor of Computer Science, University of California, San DiegoПодтвержден адрес электронной почты в домене cs.ucsd.edu
Dor VerbinResearch Scientist at Google ResearchПодтвержден адрес электронной почты в домене google.com
Jitendra MALIKProfessor of EECS, UC BerkeleyПодтвержден адрес электронной почты в домене eecs.berkeley.edu
Jiawen ChenResearch Scientist at AdobeПодтвержден адрес электронной почты в домене adobe.com
Ben PooleResearch Scientist at Google DeepMindПодтвержден адрес электронной почты в домене stanford.edu
Tianfan XueInformation Engineering Department, The Chinese University of Hong KongПодтвержден адрес электронной почты в домене ie.cuhk.edu.hk
Neal WadhwaGoogle ResearchПодтвержден адрес электронной почты в домене mit.edu
Yun-Ta TsaiSenior Staff Software Engineer at TeslaПодтвержден адрес электронной почты в домене tesla.com
Steve SeitzProfessor of Computer Science & Engineering, University of Washington; Google CorporationПодтвержден адрес электронной почты в домене cs.washington.edu
Rahul GargNetflix Inc.Подтвержден адрес электронной почты в домене netflix.com
Noha RadwanInceptiveПодтвержден адрес электронной почты в домене inceptive.team
Paul DebevecProfessor of Computer Science, University of Southern CaliforniaПодтвержден адрес электронной почты в домене debevec.org
Varun JampaniVice President of Research, Stability AIПодтвержден адрес электронной почты в домене stability.ai
Keunhong ParkUniversity of WashingtonПодтвержден адрес электронной почты в домене cs.washington.edu
