| 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 | 576 | 2022 |
| An L 1 image transform for edge-preserving smoothing and scene-level intrinsic decomposition S Bi, X Han, Y Yu ACM Transactions on Graphics (TOG) 34 (4), 78, 2015 | 237 | 2015 |
| Neural Reflectance Fields for Appearance Acquisition S Bi, Z Xu, P Srinivasan, B Mildenhall, K Sunkavalli, M Hašan, ... arXiv preprint arXiv:2008.03824, 2020 | 230 | 2020 |
| LRM: Large Reconstruction Model for Single Image to 3D Y Hong, K Zhang, J Gu, S Bi, Y Zhou, D Liu, F Liu, K Sunkavalli, T Bui, ... arXiv preprint arXiv:2311.04400, 2023 | 225 | 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 | 181 | 2022 |
| 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 | 159 | 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), 76, 2019 | 127 | 2019 |
| Deep Reflectance Volumes: Relightable Reconstructions from Multi-View Photometric Images S Bi, Z Xu, K Sunkavalli, M Hašan, Y Hold-Geoffroy, D Kriegman, ... ECCV 2020, 2020 | 122 | 2020 |
| 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 | 111 | 2022 |
| Patch-based optimization for image-based texture mapping. S Bi, NK Kalantari, R Ramamoorthi ACM Trans. Graph. 36 (4), 106:1-106:11, 2017 | 107 | 2017 |
| 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 | 101 | 2023 |
| 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 | 99 | 2023 |
| 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 | 99* | 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 | 93 | 2020 |
| Deep relightable appearance models for animatable faces S Bi, S Lombardi, S Saito, T Simon, SE Wei, K Mcphail, R Ramamoorthi, ... ACM Transactions on Graphics (TOG) 40 (4), 1-15, 2021 | 72 | 2021 |
| 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 | 69 | 2023 |
| Palettenerf: Palette-based appearance editing of neural radiance fields Z Kuang, F Luan, S Bi, Z Shu, G Wetzstein, K Sunkavalli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 57 | 2023 |
| 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 | 54 | 2022 |
| Person re-identification using multiple experts with random subspaces S Bi, G Li, Y Yu Journal of Image and Graphics 2 (2), 2014 | 50 | 2014 |
| GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting K Zhang, S Bi, H Tan, Y Xiangli, N Zhao, K Sunkavalli, Z Xu arXiv preprint arXiv:2404.19702, 2024 | 45 | 2024 |
Zexiang XuAdobe ResearchVerified email at adobe.com
