| 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 | 75 | 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 | 64 | 2018 |
| 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 | 61 | 2019 |
| 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 | 49 | 2019 |
| 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 | 44 | 2016 |
| 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 | 27 | 2014 |
| 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 | 16 | 2020 |
| 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 | 16 | 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 | 14 | 2019 |
| Neural reflectance fields for appearance acquisition S Bi, Z Xu, P Srinivasan, B Mildenhall, K Sunkavalli, M Hašan, ... arXiv preprint arXiv:2008.03824, 2020 | 13 | 2020 |
| Deep reflectance volumes: Relightable reconstructions from multi-view photometric images S Bi, Z Xu, K Sunkavalli, M Hašan, Y Hold-Geoffroy, D Kriegman, ... arXiv preprint arXiv:2007.09892, 2020 | 12 | 2020 |
| Robust energy minimization for BRDF-invariant shape from light fields Z Li, Z Xu, R Ramamoorthi, M Chandraker Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 11 | 2017 |
| Sparse sampling for image-based SVBRDF acquisition J Yu, Z Xu, M Mannino, HW Jensen, R Ramamoorthi Proceedings of the Eurographics 2016 Workshop on Material Appearance …, 2016 | 6 | 2016 |
| 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 | 4 | 2020 |
| Deep Multi Depth Panoramas for View Synthesis KE Lin, Z Xu, B Mildenhall, PP Srinivasan, Y Hold-Geoffroy, S DiVerdi, ... arXiv e-prints, arXiv: 2008.01815, 2020 | 3 | 2020 |
| Deep Kernel Density Estimation for Photon Mapping S Zhu, Z Xu, HW Jensen, H Su, R Ramamoorthi Computer Graphics Forum 39 (4), 35-45, 2020 | 3 | 2020 |
| OpenRooms: An End-to-End Open Framework for Photorealistic Indoor Scene Datasets Z Li, TW Yu, S Sang, S Wang, S Bi, Z Xu, HX Yu, K Sunkavalli, M Hašan, ... arXiv preprint arXiv:2007.12868, 2020 | 2 | 2020 |
| Deep Photon Mapping S Zhu, Z Xu, HW Jensen, H Su, R Ramamoorthi arXiv preprint arXiv:2004.12069, 2020 | 2 | 2020 |
| NeuTex: Neural Texture Mapping for Volumetric Neural Rendering F Xiang, Z Xu, M Hašan, Y Hold-Geoffroy, K Sunkavalli, H Su arXiv preprint arXiv:2103.00762, 2021 | 1 | 2021 |
| NeuMIP: Multi-Resolution Neural Materials A Kuznetsov, K Mullia, Z Xu, M Hašan, R Ramamoorthi arXiv preprint arXiv:2104.02789, 2021 | | 2021 |
