| Tensorf: Tensorial radiance fields A Chen, Z Xu, A Geiger, J Yu, H Su European conference on computer vision, 333-350, 2022 | 1414 | 2022 |
| 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 | 861 | 2021 |
| 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 | 659 | 2022 |
| One-2-3-45: Any single image to 3d mesh in 45 seconds without per-shape optimization M Liu, C Xu, H Jin, L Chen, M Varma T, Z Xu, H Su Advances in Neural Information Processing Systems 36, 2024 | 401* | 2024 |
| 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 | 363 | 2020 |
| 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 | 282 | 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 | 257 | 2018 |
| Arf: Artistic radiance fields K Zhang, N Kolkin, S Bi, F Luan, Z Xu, E Shechtman, N Snavely European Conference on Computer Vision, 717-733, 2022 | 250 | 2022 |
| Neural reflectance fields for appearance acquisition S Bi, Z Xu, P Srinivasan, B Mildenhall, K Sunkavalli, M Hašan, ... arXiv preprint arXiv:2008.03824, 2020 | 247 | 2020 |
| Renderdiffusion: Image diffusion for 3d reconstruction, inpainting and generation T Anciukevičius, Z Xu, M Fisher, P Henderson, H Bilen, NJ Mitra, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 235 | 2023 |
| 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 | 213 | 2023 |
| 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 | 213 | 2018 |
| 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 | 138 | 2022 |
| Dmv3d: Denoising multi-view diffusion using 3d large reconstruction model Y Xu, H Tan, F Luan, S Bi, P Wang, J Li, Z Shi, K Sunkavalli, G Wetzstein, ... arXiv preprint arXiv:2311.09217, 2023 | 134 | 2023 |
| 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 | 132 | 2019 |
| 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 | 129 | 2020 |
| Tensoir: Tensorial inverse rendering H Jin, I Liu, P Xu, X Zhang, S Han, S Bi, X Zhou, Z Xu, H Su Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 121 | 2023 |
| 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 | 120 | 2022 |
| 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 | 112 | 2021 |
| 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 | 94 | 2020 |
Kalyan SunkavalliAdobe ResearchПодтвержден адрес электронной почты в домене adobe.com
