| PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization S Saito, Z Huang, R Natsume, S Morishima, A Kanazawa, H Li The IEEE International Conference on Computer Vision (ICCV), 2019 | 1463 | 2019 |
| PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization S Saito, T Simon, J Saragih, H Joo The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 891 | 2020 |
| Neural fields in visual computing and beyond Y Xie, T Takikawa, S Saito, O Litany, S Yan, N Khan, F Tombari, ... Computer Graphics Forum 41 (2), 641-676, 2022 | 651* | 2022 |
| SCANimate: Weakly supervised learning of skinned clothed avatar networks S Saito, J Yang, Q Ma, MJ Black 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2021 | 252 | 2021 |
| Learning to infer implicit surfaces without 3d supervision S Liu, S Saito, W Chen, H Li NeurIPS, 2019 | 218 | 2019 |
| SiCloPe: Silhouette-based clothed people R Natsume, S Saito, Z Huang, W Chen, C Ma, H Li, S Morishima Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 211 | 2019 |
| Avatar digitization from a single image for real-time rendering L Hu, S Saito, L Wei, K Nagano, J Seo, J Fursund, I Sadeghi, C Sun, ... ACM Transactions on Graphics (TOG) 36 (6), 1-14, 2017 | 207 | 2017 |
| Arch++: Animation-ready clothed human reconstruction revisited T He, Y Xu, S Saito, S Soatto, T Tung Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 203 | 2021 |
| paGAN: real-time avatars using dynamic textures. K Nagano, J Seo, J Xing, L Wei, Z Li, S Saito, A Agarwal, J Fursund, H Li, ... ACM Trans. Graph. 37 (6), 258, 2018 | 192 | 2018 |
| Photorealistic facial texture inference using deep neural networks S Saito, L Wei, L Hu, K Nagano, H Li Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 160 | 2017 |
| High-fidelity facial and speech animation for VR HMDs K Olszewski, JJ Lim, S Saito, H Li ACM Transactions on Graphics (TOG) 35 (6), 1-14, 2016 | 159 | 2016 |
| High-fidelity facial reflectance and geometry inference from an unconstrained image S Yamaguchi, S Saito, K Nagano, Y Zhao, W Chen, K Olszewski, ... ACM Transactions on Graphics (TOG) 37 (4), 162, 2018 | 157 | 2018 |
| Real-time facial segmentation and performance capture from rgb input S Saito, T Li, H Li Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 151 | 2016 |
| Production-level facial performance capture using deep convolutional neural networks S Laine, T Karras, T Aila, A Herva, S Saito, R Yu, H Li, J Lehtinen SCA '17 Proceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer …, 2016 | 123 | 2016 |
| Authentic volumetric avatars from a phone scan C Cao, T Simon, JK Kim, G Schwartz, M Zollhoefer, S Saito, S Lombardi, ... ACM Transactions on Graphics (TOG) 41 (4), 1-19, 2022 | 118 | 2022 |
| Realistic dynamic facial textures from a single image using gans K Olszewski, Z Li, C Yang, Y Zhou, R Yu, Z Huang, S Xiang, S Saito, ... Proceedings of the IEEE International Conference on Computer Vision, 5429-5438, 2017 | 113 | 2017 |
| SCALE: Modeling clothed humans with a surface codec of articulated local elements Q Ma, S Saito, J Yang, S Tang, MJ Black Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 109 | 2021 |
| Monocular real-time volumetric performance capture R Li, Y Xiu, S Saito, Z Huang, K Olszewski, H Li Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 105 | 2020 |
| KeypointNeRF: Generalizing image-based volumetric avatars using relative spatial encoding of keypoints M Mihajlovic, A Bansal, M Zollhoefer, S Tang, S Saito European conference on computer vision, 179-197, 2022 | 87 | 2022 |
| PVA: Pixel-aligned Volumetric Avatars A Raj, M Zollhoefer, T Simon, J Saragih, S Saito, J Hays, S Lombardi 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2021 | 87* | 2021 |
Hao LiCEO & Co-Founder of Pinscreen, Professor at MBZUAI在 hao-li.com 的电子邮件经过验证