| PVNet: Pixel-wise Voting Network for 6DoF Object Pose Estimation S Peng*, X Zhou*, Y Liu, H Lin, Q Huang, H Bao (* equal contribution) IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 1210* | 2020 |
| Implicit Neural Representations with Structured Latent Codes for Human Body Modeling S Peng, C Geng, Y Zhang, Y Xu, Q Wang, Q Shuai, X Zhou, H Bao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 715* | 2023 |
| Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies S Peng*, J Dong*, Q Wang, S Zhang, Q Shuai, X Zhou, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 467* | 2021 |
| Deep Snake for Real-Time Instance Segmentation S Peng, W Jiang, H Pi, X Li, H Bao, X Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 369 | 2020 |
| Neural Rays for Occlusion-aware Image-based Rendering Y Liu, S Peng, L Liu, Q Wang, P Wang, C Theobalt, X Zhou, W Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 214 | 2022 |
| Neural 3D Scene Reconstruction with the Manhattan-world Assumption H Guo*, S Peng*, H Lin, Q Wang, G Zhang, H Bao, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 155 | 2022 |
| Efficient Neural Radiance Fields for Interactive Free-viewpoint Video H Lin*, S Peng*, Z Xu, Y Yan, Q Shuai, H Bao, ... SIGGRAPH Asia 2022 Conference Papers, 1-9, 2022 | 139* | 2022 |
| 3D-aware Image Synthesis via Learning Structural and Textural Representations Y Xu, S Peng, C Yang, Y Shen, B Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 134 | 2022 |
| GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs Y Liu, Z Shen, Z Lin, S Peng, H Bao, X Zhou Advances in Neural Information Processing Systems 32, 2019 | 105 | 2019 |
| Gen6D: Generalizable model-free 6-DoF object pose estimation from RGB images Y Liu, Y Wen, S Peng, C Lin, X Long, T Komura, W Wang European Conference on Computer Vision, 298-315, 2022 | 101 | 2022 |
| Grid-guided Neural Radiance Fields for Large Urban Scenes L Xu*, Y Xiangli*, S Peng, X Pan, N Zhao, C Theobalt, B Dai, ... arXiv preprint arXiv:2303.14001, 2023 | 70 | 2023 |
| GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation Y Xu, Z Shi, W Yifan, H Chen, C Yang, S Peng, Y Shen, G Wetzstein arXiv preprint arXiv:2403.14621, 2024 | 61 | 2024 |
| Learning Neural Volumetric Representations of Dynamic Humans in Minutes C Geng*, S Peng*, Z Xu, H Bao, X Zhou (* equal contribution) arXiv preprint arXiv:2302.12237, 2023 | 59 | 2023 |
| Street gaussians for modeling dynamic urban scenes Y Yan, H Lin, C Zhou, W Wang, H Sun, K Zhan, X Lang, X Zhou, S Peng arXiv preprint arXiv:2401.01339, 2024 | 58 | 2024 |
| Deep Generative Models on 3D Representations: A Survey Z Shi*, S Peng*, Y Xu*, Y Liao, Y Shen (* equal contribution) arXiv preprint arXiv:2210.15663, 2022 | 57 | 2022 |
| MPS-NeRF: Generalizable 3D Human Rendering from Multiview Images X Gao, J Yang, J Kim, S Peng, Z Liu, X Tong IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 53 | 2022 |
| DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis Y Xu, M Chai, Z Shi, S Peng, I Skorokhodov, A Siarohin, C Yang, Y Shen, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 52 | 2023 |
| Animatable Neural Implicit Surfaces for Creating Avatars from Videos S Peng, S Zhang, Z Xu, C Geng, B Jiang, H Bao, X Zhou arXiv preprint arXiv:2203.08133, 2022 | 47 | 2022 |
| Representing Volumetric Videos as Dynamic MLP Maps S Peng*, Y Yan*, Q Shuai, H Bao, X Zhou (* equal contribution) Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 43 | 2023 |
| Novel View Synthesis of Human Interactions from Sparse Multi-view Videos Q Shuai, C Geng, Q Fang, S Peng, W Shen, X Zhou, H Bao SIGGRAPH, 1-10, 2022 | 38 | 2022 |
Xiaowei ZhouZhejiang UniversityVerified email at zju.edu.cn
