| Neural reflectance fields for appearance acquisition S Bi, Z Xu, P Srinivasan, B Mildenhall, K Sunkavalli, M Hašan, ... arXiv preprint arXiv:2008.03824, 2020 | 221 | 2020 |
| Matrix row-column sampling for the many-light problem M Hašan, F Pellacini, K Bala ACM SIGGRAPH 2007 papers, 26-es, 2007 | 192 | 2007 |
| Physical reproduction of materials with specified subsurface scattering M Hašan, M Fuchs, W Matusik, H Pfister, S Rusinkiewicz ACM SIGGRAPH 2010 papers, 1-10, 2010 | 181 | 2010 |
| Scalable realistic rendering with many‐light methods C Dachsbacher, J Křivánek, M Hašan, A Arbree, B Walter, J Novák Computer Graphics Forum 33 (1), 88-104, 2014 | 157 | 2014 |
| Direct-to-indirect transfer for cinematic relighting M Hašan, F Pellacini, K Bala ACM Transactions on Graphics (TOG) 25 (3), 1089-1097, 2006 | 131 | 2006 |
| Virtual spherical lights for many-light rendering of glossy scenes M Hašan, J Křivánek, B Walter, K Bala ACM Transactions on Graphics (TOG) 28 (5), 143, 2009 | 122 | 2009 |
| 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 | 116 | 2020 |
| Rendering glints on high-resolution normal-mapped specular surfaces LQ Yan, M Hašan, W Jakob, J Lawrence, S Marschner, R Ramamoorthi ACM Transactions on Graphics (TOG) 33 (4), 1-9, 2014 | 112 | 2014 |
| Discrete stochastic microfacet models W Jakob, M Hašan, LQ Yan, J Lawrence, R Ramamoorthi, S Marschner ACM Transactions on Graphics (TOG) 33 (4), 1-10, 2014 | 102 | 2014 |
| Neutex: Neural texture mapping for volumetric neural rendering F Xiang, Z Xu, M Hasan, Y Hold-Geoffroy, K Sunkavalli, H Su Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 97 | 2021 |
| MaterialGAN: Reflectance capture using a generative SVBRDF model Y Guo, C Smith, M Hašan, K Sunkavalli, S Zhao arXiv preprint arXiv:2010.00114, 2020 | 96 | 2020 |
| Position-normal distributions for efficient rendering of specular microstructure LQ Yan, M Hašan, S Marschner, R Ramamoorthi ACM Transactions on Graphics (TOG) 35 (4), 1-9, 2016 | 79 | 2016 |
| 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 | 72 | 2021 |
| 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 | 70 | 2020 |
| Rendering specular microgeometry with wave optics LQ Yan, M Hašan, B Walter, S Marschner, R Ramamoorthi ACM Transactions on Graphics (TOG) 37 (4), 1-10, 2018 | 69 | 2018 |
| Neumip: Multi-resolution neural materials A Kuznetsov ACM Transactions on Graphics (ToG) 40 (4), 2021 | 67 | 2021 |
| Position-free Monte Carlo simulation for arbitrary layered BSDFs Y Guo, M Hašan, S Zhao ACM Transactions on Graphics (ToG) 37 (6), 1-14, 2018 | 59 | 2018 |
| Progressive light transport simulation on the GPU: Survey and improvements T Davidovič, J Křivánek, M Hašan, P Slusallek ACM Transactions on Graphics (TOG) 33 (3), 1-19, 2014 | 59 | 2014 |
| Combining global and local virtual lights for detailed glossy illumination T Davidovič, J Křivánek, M Hašan, P Slusallek, K Bala ACM Transactions on Graphics (TOG) 29 (6), 143, 2010 | 54 | 2010 |
| Physically-based editing of indoor scene lighting from a single image Z Li, J Shi, S Bi, R Zhu, K Sunkavalli, M Hašan, Z Xu, R Ramamoorthi, ... European Conference on Computer Vision, 555-572, 2022 | 47 | 2022 |
Ravi RamamoorthiProfessor of Computer Science, University of California, San DiegoGeverifieerd e-mailadres voor cs.ucsd.edu
