| Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo A Chen, Z Xu, F Zhao, X Zhang, F Xiang, J Yu, H Su Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 251 | 2021 |
| Tensorf: Tensorial radiance fields A Chen, Z Xu, A Geiger, J Yu, H Su Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 217 | 2022 |
| Single image portrait relighting. T Sun, JT Barron, YT Tsai, Z Xu, X Yu, G Fyffe, C Rhemann, J Busch, ... ACM Trans. Graph. 38 (4), 79:1-79:12, 2019 | 188 | 2019 |
| 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 | 182 | 2018 |
| 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 | 151 | 2018 |
| 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 | 148 | 2020 |
| Neural reflectance fields for appearance acquisition S Bi, Z Xu, P Srinivasan, B Mildenhall, K Sunkavalli, M Hašan, ... arXiv preprint arXiv:2008.03824, 2020 | 120 | 2020 |
| 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 | 100 | 2019 |
| 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 | 93 | 2022 |
| 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 | 73 | 2020 |
| Minimal BRDF sampling for two-shot near-field reflectance acquisition Z Xu, JB Nielsen, J Yu, HW Jensen, R Ramamoorthi ACM Transactions on Graphics (TOG) 35 (6), 1-12, 2016 | 62 | 2016 |
| 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 | 53 | 2020 |
| 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 | 50 | 2021 |
| Dynamic hair capture using spacetime optimization Z Xu, HT Wu, L Wang, C Zheng, X Tong, Y Qi To appear in ACM TOG 33, 6, 2014 | 34 | 2014 |
| 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 | 32 | 2021 |
| Arf: Artistic radiance fields K Zhang, N Kolkin, S Bi, F Luan, Z Xu, E Shechtman, N Snavely Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 28 | 2022 |
| Light stage super-resolution: continuous high-frequency relighting T Sun, Z Xu, X Zhang, S Fanello, C Rhemann, P Debevec, YT Tsai, ... ACM Transactions on Graphics (TOG) 39 (6), 1-12, 2020 | 28 | 2020 |
| Learning generative models for rendering specular microgeometry. A Kuznetsov, M Hasan, Z Xu, LQ Yan, B Walter, NK Kalantari, ... ACM Trans. Graph. 38 (6), 225:1-225:14, 2019 | 28 | 2019 |
| Rignerf: Fully controllable neural 3d portraits SR Athar, Z Xu, K Sunkavalli, E Shechtman, Z Shu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 26 | 2022 |
| Nerfusion: Fusing radiance fields for large-scale scene reconstruction X Zhang, S Bi, K Sunkavalli, H Su, Z Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 25 | 2022 |
Ravi RamamoorthiProfessor of Computer Science, University of California, San DiegoVerified email at cs.ucsd.edu
