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Jon Barron
Jon Barron
Senior Staff Research Scientist at Google Research
google.com의 이메일 확인됨 - 홈페이지
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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
46732020
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
14252014
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
13502020
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
8422021
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
7672021
Shape, illumination, and reflectance from shading
JT Barron, J Malik
IEEE transactions on pattern analysis and machine intelligence 37 (8), 1670-1687, 2014
7522014
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
7342021
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
6832017
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
6162016
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
5452013
A general and adaptive robust loss function
JT Barron
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
5302019
Dreamfusion: Text-to-3d using 2d diffusion
B Poole, A Jain, JT Barron, B Mildenhall
arXiv preprint arXiv:2209.14988, 2022
4762022
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
4712022
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
4632021
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
4522016
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
4042016
The fast bilateral solver
JT Barron, B Poole
European Conference on Computer Vision, 617-632, 2016
3972016
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
3832021
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
3692019
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
3692018
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학술자료 1–20