Depth from combining defocus and correspondence using light-field cameras MW Tao, S Hadap, J Malik, R Ramamoorthi Proceedings of the IEEE International Conference on Computer Vision, 673-680, 2013 | 710 | 2013 |
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 | 310 | 2017 |
Modeling dynamic hair as a continuum S Hadap, N Magnenat‐Thalmann Computer Graphics Forum 20 (3), 329-338, 2001 | 261 | 2001 |
Deep outdoor illumination estimation Y Hold-Geoffroy, K Sunkavalli, S Hadap, E Gambaretto, JF Lalonde Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 253 | 2017 |
Automatic scene inference for 3d object compositing K Karsch, K Sunkavalli, S Hadap, N Carr, H Jin, R Fonte, M Sittig, ... ACM Transactions on Graphics (TOG) 33 (3), 1-15, 2014 | 211 | 2014 |
Deep single-image portrait relighting H Zhou, S Hadap, K Sunkavalli, DW Jacobs Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 206 | 2019 |
Deep image-based relighting from optimal sparse samples Z Xu, K Sunkavalli, S Hadap, R Ramamoorthi ACM Transactions on Graphics (ToG) 37 (4), 1-13, 2018 | 189 | 2018 |
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 | 152 | 2018 |
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 | 140 | 2019 |
Specular reflection separation using dark channel prior H Kim, H Jin, S Hadap, I Kweon Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 134 | 2013 |
Animating wrinkles on clothes S Hadap, E Bongarter, P Volino, N Magnenat-Thalmann Proceedings Visualization'99 (Cat. No. 99CB37067), 175-523, 1999 | 134 | 1999 |
Oriented strands: dynamics of stiff multi-body system S Hadap Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer …, 2006 | 126 | 2006 |
Deep view synthesis from sparse photometric images Z Xu, S Bi, K Sunkavalli, S Hadap, H Su, R Ramamoorthi ACM Transactions on Graphics (ToG) 38 (4), 1-13, 2019 | 120 | 2019 |
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 | 119 | 2018 |
Shading-aware multi-view stereo F Langguth, K Sunkavalli, S Hadap, M Goesele Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 115 | 2016 |
Interactive hair styler based on fluid flow S Hadap, N Magnenat-Thalmann Computer Animation and Simulation 2000: Proceedings of the Eurographics …, 2000 | 104 | 2000 |
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 | 96 | 2015 |
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 | 84 | 2017 |
State of the art in hair simulation N Magnenat-Thalmann, S Hadap, P Kalra International workshop on human modeling and animation, 3-9, 2000 | 83 | 2000 |
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 | 82 | 2019 |