| Point-nerf: Point-based neural radiance fields Q Xu, Z Xu, J Philip, S Bi, Z Shu, K Sunkavalli, U Neumann Proceedings of the IEEE/CVF conference on computer vision and pattern
, 2022 | 582 | 2022 |
| Learning to predict indoor illumination from a single image MA Gardner, K Sunkavalli, E Yumer, X Shen, E Gambaretto, C Gagné, ... arXiv preprint arXiv:1704.00090, 2017 | 546 | 2017 |
| 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 | 526 | 2020 |
| Fast video object segmentation by reference-guided mask propagation SW Oh, JY Lee, K Sunkavalli, SJ Kim Proceedings of the IEEE conference on computer vision and pattern
, 2018 | 488 | 2018 |
| 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 | 331 | 2017 |
| 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 | 325 | 2017 |
| Video face replacement K Dale, K Sunkavalli, MK Johnson, D Vlasic, W Matusik, H Pfister Proceedings of the 2011 SIGGRAPH Asia conference, 1-10, 2011 | 290 | 2011 |
| Multi-scale image harmonization K Sunkavalli, MK Johnson, W Matusik, H Pfister ACM Transactions on Graphics (TOG) 29 (4), 1-10, 2010 | 289 | 2010 |
| 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 | 271 | 2020 |
| 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 | 260 | 2017 |
| 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 | 252 | 2018 |
| Lrm: Large reconstruction model for single image to 3d Y Hong, K Zhang, J Gu, S Bi, Y Zhou, D Liu, F Liu, K Sunkavalli, T Bui, ... arXiv preprint arXiv:2311.04400, 2023 | 234 | 2023 |
| Neural reflectance fields for appearance acquisition S Bi, Z Xu, P Srinivasan, B Mildenhall, K Sunkavalli, M Hašan, ... arXiv preprint arXiv:2008.03824, 2020 | 233 | 2020 |
| Deep single-image portrait relighting H Zhou, S Hadap, K Sunkavalli, DW Jacobs Proceedings of the IEEE/CVF international conference on computer vision
, 2019 | 225 | 2019 |
| 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 | 221 | 2014 |
| 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 | 206 | 2018 |
| Blind video temporal consistency N Bonneel, J Tompkin, K Sunkavalli, D Sun, S Paris, H Pfister ACM Transactions on Graphics (TOG) 34 (6), 1-9, 2015 | 193 | 2015 |
| 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 | 179 | 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 | 168 | 2018 |
| Instant3d: Fast text-to-3d with sparse-view generation and large reconstruction model J Li, H Tan, K Zhang, Z Xu, F Luan, Y Xu, Y Hong, K Sunkavalli, ... arXiv preprint arXiv:2311.06214, 2023 | 164 | 2023 |
Sunil HadapPrincipal Applied Scientist, Amazon FashionPatvirtintas el. paštas acm.org
