Artigos com autorizações de acesso público - Kalyan SunkavalliSaiba mais
Não disponíveis em nenhum local: 2
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
Autorizações: US National Science Foundation, US Department of Defense
Learning monocular face reconstruction using multi-view supervision
Z Shu, D Ceylan, K Sunkavalli, E Shechtman, S Hadap, D Samaras
2020 15th IEEE International Conference on Automatic Face and Gesture …, 2020
Autorizações: US National Science Foundation, US National Institutes of Health
Disponíveis em algum local: 39
State of the art on neural rendering
A Tewari, O Fried, J Thies, V Sitzmann, S Lombardi, K Sunkavalli, ...
Computer Graphics Forum 39 (2), 701-727, 2020
Autorizações: US National Science Foundation, European Commission
Neural face editing with intrinsic image disentangling
Z Shu, E Yumer, S Hadap, K Sunkavalli, E Shechtman, D Samaras
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Autorizações: US National Science Foundation
Deep image harmonization
YH Tsai, X Shen, Z Lin, K Sunkavalli, X Lu, MH Yang
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Autorizações: US National Science Foundation
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
Autorizações: 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
Autorizações: US National Science Foundation, US Department of Defense
Deep single-image portrait relighting
H Zhou, S Hadap, K Sunkavalli, DW Jacobs
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Autorizações: US Department of Defense
Materials for masses: SVBRDF acquisition with a single mobile phone image
Z Li, K Sunkavalli, M Chandraker
Proceedings of the European conference on computer vision (ECCV), 72-87, 2018
Autorizações: US National Science Foundation
Mt-vae: Learning motion transformations to generate multimodal human dynamics
X Yan, A Rastogi, R Villegas, K Sunkavalli, E Shechtman, S Hadap, ...
Proceedings of the European conference on computer vision (ECCV), 265-281, 2018
Autorizações: US National Science Foundation, US Department of Defense
Fast spatially-varying indoor lighting estimation
M Garon, K Sunkavalli, S Hadap, N Carr, JF Lalonde
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Autorizações: Natural Sciences and Engineering Research Council of Canada
Deep parametric indoor lighting estimation
MA Gardner, Y Hold-Geoffroy, K Sunkavalli, C Gagné, JF Lalonde
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Autorizações: Natural Sciences and Engineering Research Council of Canada
A perceptual measure for deep single image camera calibration
Y Hold-Geoffroy, K Sunkavalli, J Eisenmann, M Fisher, E Gambaretto, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Autorizações: Natural Sciences and Engineering Research Council of Canada
Deep reflectance volumes: Relightable reconstructions from multi-view photometric images
S Bi, Z Xu, K Sunkavalli, M Hašan, Y Hold-Geoffroy, D Kriegman, ...
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Autorizações: US National Science Foundation, US Department of Defense
Openrooms: An open framework for photorealistic indoor scene datasets
Z Li, TW Yu, S Sang, S Wang, M Song, Y Liu, YY Yeh, R Zhu, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Autorizações: US National Science Foundation, US Department of Defense
High-quality hair modeling from a single portrait photo.
M Chai, L Luo, K Sunkavalli, N Carr, S Hadap, K Zhou
ACM Trans. Graph. 34 (6), 204:1-204:10, 2015
Autorizações: National Natural Science Foundation of China
Deep 3d capture: Geometry and reflectance from sparse multi-view images
S Bi, Z Xu, K Sunkavalli, D Kriegman, R Ramamoorthi
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Autorizações: US National Science Foundation, US Department of Defense
Portrait lighting transfer using a mass transport approach
Z Shu, S Hadap, E Shechtman, K Sunkavalli, S Paris, D Samaras
ACM Transactions on Graphics (TOG) 36 (4), 1, 2017
Autorizações: US National Science Foundation
All-weather deep outdoor lighting estimation
J Zhang, K Sunkavalli, Y Hold-Geoffroy, S Hadap, J Eisenman, ...
Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2019
Autorizações: Natural Sciences and Engineering Research Council of Canada
Match: Differentiable material graphs for procedural material capture
L Shi, B Li, M Hašan, K Sunkavalli, T Boubekeur, R Mech, W Matusik
ACM Transactions on Graphics (TOG) 39 (6), 1-15, 2020
Autorizações: US National Science Foundation
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