Články se zplnomocněním k veřejnému přístupu - Ravi RamamoorthiDalší informace
Nedostupné nikde: 3
Deep multi depth panoramas for view synthesis
KE Lin, Z Xu, B Mildenhall, PP Srinivasan, Y Hold-Geoffroy, S DiVerdi, ...
European Conference on Computer Vision, 328-344, 2020
Zplnomocnění: US National Science Foundation, US Department of Defense
User‐Assisted Video Stabilization
J Bai, A Agarwala, M Agrawala, R Ramamoorthi
Computer Graphics Forum 33 (4), 61-70, 2014
Zplnomocnění: A*Star, Singapore
Multiple axis‐aligned filters for rendering of combined distribution effects
L Wu, LQ Yan, A Kuznetsov, R Ramamoorthi
Computer Graphics Forum 36 (4), 155-166, 2017
Zplnomocnění: US National Science Foundation
Dostupné někde: 76
Nerf: Representing scenes as neural radiance fields for view synthesis
B Mildenhall, PP Srinivasan, M Tancik, JT Barron, R Ramamoorthi, R Ng
Communications of the ACM 65 (1), 99-106, 2021
Zplnomocnění: US National Science Foundation, US Department of Defense
Fourier features let networks learn high frequency functions in low dimensional domains
M Tancik, P Srinivasan, B Mildenhall, S Fridovich-Keil, N Raghavan, ...
Advances in neural information processing systems 33, 7537-7547, 2020
Zplnomocnění: US National Science Foundation, US Department of Defense
Local light field fusion: Practical view synthesis with prescriptive sampling guidelines
B Mildenhall, PP Srinivasan, R Ortiz-Cayon, NK Kalantari, ...
ACM Transactions on Graphics (ToG) 38 (4), 1-14, 2019
Zplnomocnění: US National Science Foundation, US Department of Defense
Learning-based view synthesis for light field cameras
NK Kalantari, TC Wang, R Ramamoorthi
ACM Transactions on Graphics (TOG) 35 (6), 1-10, 2016
Zplnomocnění: US National Science Foundation
Deep high dynamic range imaging of dynamic scenes.
NK Kalantari, R Ramamoorthi
ACM Trans. Graph. 36 (4), 144:1-144:12, 2017
Zplnomocnění: US National Science Foundation, US Department of Defense
Pushing the boundaries of view extrapolation with multiplane images
PP Srinivasan, R Tucker, JT Barron, R Ramamoorthi, R Ng, N Snavely
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Zplnomocnění: US National Science Foundation, US Department of Defense
Deep stereo using adaptive thin volume representation with uncertainty awareness
S Cheng, Z Xu, S Zhu, Z Li, LE Li, R Ramamoorthi, H Su
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Zplnomocnění: US National Science Foundation
Learning to synthesize a 4D RGBD light field from a single image
PP Srinivasan, T Wang, A Sreelal, R Ramamoorthi, R Ng
Proceedings of the IEEE International Conference on Computer Vision, 2243-2251, 2017
Zplnomocnění: US National Science Foundation, US Department of Defense
Inverse rendering for complex indoor scenes: Shape, spatially-varying lighting and svbrdf from a single image
Z Li, M Shafiei, R Ramamoorthi, K Sunkavalli, M Chandraker
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Zplnomocnění: US National Science Foundation, US Department of Defense
Learning to reconstruct shape and spatially-varying reflectance from a single image
Z Li, Z Xu, R Ramamoorthi, K Sunkavalli, M Chandraker
ACM Transactions on Graphics (TOG) 37 (6), 1-11, 2018
Zplnomocnění: US National Science Foundation, US Department of Defense
A 4D light-field dataset and CNN architectures for material recognition
TC Wang, JY Zhu, E Hiroaki, M Chandraker, AA Efros, R Ramamoorthi
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Zplnomocnění: US National Science Foundation
Recent advances in adaptive sampling and reconstruction for Monte Carlo rendering
M Zwicker, W Jarosz, J Lehtinen, B Moon, R Ramamoorthi, F Rousselle, ...
Computer graphics forum 34 (2), 667-681, 2015
Zplnomocnění: Swiss National Science Foundation
Nerfdiff: Single-image view synthesis with nerf-guided distillation from 3d-aware diffusion
J Gu, A Trevithick, KE Lin, JM Susskind, C Theobalt, L Liu, ...
International Conference on Machine Learning, 11808-11826, 2023
Zplnomocnění: US National Science Foundation, US Department of Defense, European Commission
Modulated periodic activations for generalizable local functional representations
I Mehta, M Gharbi, C Barnes, E Shechtman, R Ramamoorthi, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Zplnomocnění: US National Science Foundation, US Department of Defense
Light field video capture using a learning-based hybrid imaging system
TC Wang, JY Zhu, NK Kalantari, AA Efros, R Ramamoorthi
ACM transactions on graphics (TOG) 36 (4), 1-13, 2017
Zplnomocnění: US National Science Foundation, US Department of Defense
A differential theory of radiative transfer
C Zhang, L Wu, C Zheng, I Gkioulekas, R Ramamoorthi, S Zhao
ACM Transactions on Graphics (TOG) 38 (6), 1-16, 2019
Zplnomocnění: US National Science Foundation
Vision transformer for nerf-based view synthesis from a single input image
KE Lin, YC Lin, WS Lai, TY Lin, YC Shih, R Ramamoorthi
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
Zplnomocnění: US National Science Foundation, US Department of Defense
Informace o publikování a financování jsou automaticky vybírány počítačovým programem