| Tensorf: Tensorial radiance fields A Chen*, Z Xu*, A Geiger, J Yu, H Su European conference on computer vision, 333-350, 2022 | 1944 | 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 | 1125 | 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 | 869 | 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 | 673 | 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 | 430 | 2020 |
| 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 | 390 | 2023 |
| 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 | 329 | 2019 |
| 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 | 312 | 2023 |
| 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 | 302 | 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 | 291 | 2020 |
| 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 | 284 | 2018 |
| Gs-lrm: Large reconstruction model for 3d gaussian splatting K Zhang, S Bi, H Tan, Y Xiangli, N Zhao, K Sunkavalli, Z Xu European Conference on Computer Vision, 1-19, 2024 | 249 | 2024 |
| 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 | 231 | 2018 |
| 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 | 225 | 2023 |
| 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 | 205 | 2023 |
| 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 | 186 | 2022 |
| Pf-lrm: Pose-free large reconstruction model for joint pose and shape prediction P Wang, H Tan, S Bi, Y Xu, F Luan, K Sunkavalli, W Wang, Z Xu, K Zhang arXiv preprint arXiv:2311.12024, 2023 | 157 | 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 | 154 | 2022 |
| Deep reflectance volumes: Relightable reconstructions from multi-view photometric images S Bi, Z Xu, K Sunkavalli, M Hašan, Y Hold-Geoffroy, D Kriegman, ... European Conference on Computer Vision, 294-311, 2020 | 148 | 2020 |
| 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 | 145* | 2021 |
Kalyan SunkavalliAdobe ResearchVerified email at adobe.com
