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ORCIDPeng-Shuai Wang
Person information
- unicode name: 王鹏帅
- affiliation: Peking University, Institute of Computer Technology, Beijing, China
- affiliation (former): Microsoft Research Asia, Beijing, China
- affiliation (former, PhD 2018): Tsinghua University, Institute for Advanced Study, Beijing, China
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2020 – today
- 2024
[j13]Zixiong Wang
, Pengfei Wang, Peng-Shuai Wang, Qiujie Dong, Junjie Gao, Shuang-Min Chen, Shiqing Xin, Changhe Tu, Wenping Wang:
Neural-IMLS: Self-Supervised Implicit Moving Least-Squares Network for Surface Reconstruction. IEEE Trans. Vis. Comput. Graph. 30(8): 5018-5033 (2024)- [j12]Zhongtian Zheng, Xifeng Gao, Zherong Pan, Wei Li, Peng-Shuai Wang, Guoping Wang, Kui Wu:
Visual-Preserving Mesh Repair. IEEE Trans. Vis. Comput. Graph. 30(9): 6586-6597 (2024) - [c9]Xiaoyang Wu, Li Jiang, Peng-Shuai Wang, Zhijian Liu, Xihui Liu, Yu Qiao, Wanli Ouyang, Tong He, Hengshuang Zhao:
Point Transformer V3: Simpler, Faster, Stronger. CVPR 2024: 4840-4851 - [c8]Siming Yan, Yuqi Yang, Yu-Xiao Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu, Qixing Huang:
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining. ICLR 2024 - [i22]Bojun Xiong, Si-Tong Wei, Xin-Yang Zheng, Yan-Pei Cao, Zhouhui Lian, Peng-Shuai Wang:
OctFusion: Octree-based Diffusion Models for 3D Shape Generation. CoRR abs/2408.14732 (2024) - [i21]Bo Pang, Zhongtian Zheng, Yilong Li, Guoping Wang, Peng-Shuai Wang:
Neural Laplacian Operator for 3D Point Clouds. CoRR abs/2409.06506 (2024) - 2023
- [j11]Chun-Yu Sun, Yu-Qi Yang, Hao-Xiang Guo, Peng-Shuai Wang, Xin Tong, Yang Liu, Heung-Yeung Shum:
Semi-supervised 3D shape segmentation with multilevel consistency and part substitution. Comput. Vis. Media 9(2): 229-247 (2023) - [j10]Xin-Yang Zheng, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu, Heung-Yeung Shum:
Locally Attentional SDF Diffusion for Controllable 3D Shape Generation. ACM Trans. Graph. 42(4): 91:1-91:13 (2023) - [j9]Peng-Shuai Wang:
OctFormer: Octree-based Transformers for 3D Point Clouds. ACM Trans. Graph. 42(4): 155:1-155:11 (2023) - [j8]Bo Pang, Zhongtian Zheng, Guoping Wang, Peng-Shuai Wang:
Learning the Geodesic Embedding with Graph Neural Networks. ACM Trans. Graph. 42(6): 236:1-236:12 (2023) - [j7]Zixiong Wang, Yunxiao Zhang, Rui Xu, Fan Zhang, Peng-Shuai Wang, Shuang-Min Chen, Shiqing Xin, Wenping Wang, Changhe Tu:
Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian. ACM Trans. Graph. 42(6): 274:1-274:14 (2023) - [c7]Huimin Wu, Chenyang Lei, Xiao Sun, Peng-Shuai Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu:
Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning. ICCV 2023: 16259-16270 - [c6]Guo Pu, Peng-Shuai Wang, Zhouhui Lian:
SinMPI: Novel View Synthesis from a Single Image with Expanded Multiplane Images. SIGGRAPH Asia 2023: 13:1-13:10 - [i20]Yu-Qi Yang, Yu-Xiao Guo, Jian-Yu Xiong, Yang Liu, Hao Pan, Peng-Shuai Wang, Xin Tong, Baining Guo:
Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding. CoRR abs/2304.06906 (2023) - [i19]Siming Yan, Yuqi Yang, Yuxiao Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu, Qixing Huang:
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining. CoRR abs/2304.06911 (2023) - [i18]Peng-Shuai Wang:
OctFormer: Octree-based Transformers for 3D Point Clouds. CoRR abs/2305.03045 (2023) - [i17]Xin-Yang Zheng, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu, Heung-Yeung Shum:
Locally Attentional SDF Diffusion for Controllable 3D Shape Generation. CoRR abs/2305.04461 (2023) - [i16]Zhongtian Zheng, Xifeng Gao, Zherong Pan, Wei Li, Peng-Shuai Wang, Guoping Wang, Kui Wu:
Visual-Guided Mesh Repair. CoRR abs/2309.00134 (2023) - [i15]Zixiong Wang, Yunxiao Zhang, Rui Xu, Fan Zhang, Pengshuai Wang, Shuang-Min Chen, Shiqing Xin, Wenping Wang, Changhe Tu:
Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian. CoRR abs/2309.01793 (2023) - [i14]Bo Pang, Zhongtian Zheng, Guoping Wang, Peng-Shuai Wang:
Learning the Geodesic Embedding with Graph Neural Networks. CoRR abs/2309.05613 (2023) - [i13]Xiaoyang Wu, Li Jiang, Peng-Shuai Wang, Zhijian Liu, Xihui Liu, Yu Qiao, Wanli Ouyang, Tong He, Hengshuang Zhao:
Point Transformer V3: Simpler, Faster, Stronger. CoRR abs/2312.10035 (2023) - [i12]Guo Pu, Peng-Shuai Wang, Zhouhui Lian:
SinMPI: Novel View Synthesis from a Single Image with Expanded Multiplane Images. CoRR abs/2312.11037 (2023) - 2022
- [j6]Xin-Yang Zheng, Yang Liu, Peng-Shuai Wang, Xin Tong:
SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation. Comput. Graph. Forum 41(5): 52-63 (2022) - [j5]Peng-Shuai Wang, Yang Liu, Xin Tong:
Dual octree graph networks for learning adaptive volumetric shape representations. ACM Trans. Graph. 41(4): 103:1-103:15 (2022) - [i11]Chun-Yu Sun, Yu-Qi Yang, Hao-Xiang Guo, Peng-Shuai Wang, Xin Tong, Yang Liu, Heung-Yeung Shum:
Semi-supervised 3D shape segmentation with multilevel consistency and part substitution. CoRR abs/2204.08824 (2022) - [i10]Peng-Shuai Wang, Yang Liu, Xin Tong:
Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations. CoRR abs/2205.02825 (2022) - [i9]Xin-Yang Zheng, Yang Liu, Peng-Shuai Wang, Xin Tong:
SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation. CoRR abs/2206.12055 (2022) - [i8]Huimin Wu, Chenyang Lei, Xiao Sun, Peng-Shuai Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu:
Randomized Quantization for Data Agnostic Representation Learning. CoRR abs/2212.08663 (2022) - 2021
- [c5]Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou, Zhirong Wu, Yang Liu, Xin Tong:
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination. AAAI 2021: 2773-2781 - [c4]Shi-Lin Liu, Hao-Xiang Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu:
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction. CVPR 2021: 1788-1797 - [c3]Yu-Qi Yang, Peng-Shuai Wang, Yang Liu:
Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks. ICCV 2021: 7447-7455 - [c2]Peng-Shuai Wang, Yang Liu, Yu-Qi Yang, Xin Tong:
Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields. IJCAI 2021: 1091-1097 - [i7]Shi-Lin Liu, Hao-Xiang Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu:
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction. CoRR abs/2103.12266 (2021) - [i6]Peng-Shuai Wang, Yang Liu, Yu-Qi Yang, Xin Tong:
Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields. CoRR abs/2106.01553 (2021) - [i5]Yu-Qi Yang, Peng-Shuai Wang, Yang Liu:
Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks. CoRR abs/2108.06925 (2021) - 2020
- [c1]Peng-Shuai Wang, Yang Liu, Xin Tong:
Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion. CVPR Workshops 2020: 1074-1081 - [i4]Peng-Shuai Wang, Yang Liu, Xin Tong:
Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion. CoRR abs/2006.03762 (2020) - [i3]Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou, Zhirong Wu, Yang Liu, Xin Tong:
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination. CoRR abs/2008.01068 (2020)
2010 – 2019
- 2018
- [j4]Peng-Shuai Wang, Chun-Yu Sun, Yang Liu, Xin Tong:
Adaptive O-CNN: a patch-based deep representation of 3D shapes. ACM Trans. Graph. 37(6): 217 (2018) - [i2]Peng-Shuai Wang, Chun-Yu Sun, Yang Liu, Xin Tong:
Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes. CoRR abs/1809.07917 (2018) - 2017
- [j3]Peng-Shuai Wang, Yang Liu, Yu-Xiao Guo, Chun-Yu Sun, Xin Tong:
O-CNN: octree-based convolutional neural networks for 3D shape analysis. ACM Trans. Graph. 36(4): 72:1-72:11 (2017) - [i1]Peng-Shuai Wang, Yang Liu, Yu-Xiao Guo, Chun-Yu Sun, Xin Tong:
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis. CoRR abs/1712.01537 (2017) - 2016
- [j2]Peng-Shuai Wang, Yang Liu, Xin Tong:
Mesh denoising via cascaded normal regression. ACM Trans. Graph. 35(6): 232:1-232:12 (2016) - 2015
- [j1]Peng-Shuai Wang, Xiao-Ming Fu, Yang Liu, Xin Tong, Shi-Lin Liu, Baining Guo:
Rolling guidance normal filter for geometric processing. ACM Trans. Graph. 34(6): 173:1-173:9 (2015)
Coauthor Index
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