Peng-Shuai Wang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 38

Top Topics

Convolutional Neural Networks

Top Venues

ACM Trans. Graph.

IEEE Trans. Vis. Comput. Graph.

Publications

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) (2024)
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)
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) (2024)
Zhongtian Zheng, Xifeng Gao, Zherong Pan, Wei Li, Peng-Shuai Wang, Guoping Wang, Kui Wu
Visual-Guided Mesh Repair. CoRR (2023)
Peng-Shuai Wang
OctFormer: Octree-based Transformers for 3D Point Clouds. ACM Trans. Graph. 42 (4) (2023)
Bo Pang, Zhongtian Zheng, Guoping Wang, Peng-Shuai Wang
Learning the Geodesic Embedding with Graph Neural Networks. CoRR (2023)
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 (2023)
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)
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) (2023)
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 (2023)
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 (2023)
Peng-Shuai Wang
OctFormer: Octree-based Transformers for 3D Point Clouds. CoRR (2023)
Guo Pu, Peng-Shuai Wang, Zhouhui Lian
SinMPI: Novel View Synthesis from a Single Image with Expanded Multiplane Images. SIGGRAPH Asia (2023)
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) (2023)
Bo Pang, Zhongtian Zheng, Guoping Wang, Peng-Shuai Wang
Learning the Geodesic Embedding with Graph Neural Networks. ACM Trans. Graph. 42 (6) (2023)
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) (2023)
Guo Pu, Peng-Shuai Wang, Zhouhui Lian
SinMPI: Novel View Synthesis from a Single Image with Expanded Multiplane Images. CoRR (2023)
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 (2023)
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 (2022)
Peng-Shuai Wang, Yang Liu, Xin Tong
Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations. CoRR (2022)
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 (2022)
Peng-Shuai Wang, Yang Liu, Xin Tong
Dual octree graph networks for learning adaptive volumetric shape representations. ACM Trans. Graph. 41 (4) (2022)
Xin-Yang Zheng, Yang Liu, Peng-Shuai Wang, Xin Tong
SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation. CoRR (2022)
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)
Yu-Qi Yang, Peng-Shuai Wang, Yang Liu
Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks. ICCV (2021)
Peng-Shuai Wang, Yang Liu, Yu-Qi Yang, Xin Tong
Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields. CoRR (2021)
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 (2021)
Peng-Shuai Wang, Yang Liu, Yu-Qi Yang, Xin Tong
Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields. IJCAI (2021)
Yu-Qi Yang, Peng-Shuai Wang, Yang Liu
Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks. CoRR (2021)
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)
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 (2020)
Peng-Shuai Wang, Yang Liu, Xin Tong
Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion. CoRR (2020)
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)
Peng-Shuai Wang, Chun-Yu Sun, Yang Liu, Xin Tong
Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes. CoRR (2018)
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) (2018)
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 (2017)
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) (2017)
Peng-Shuai Wang, Yang Liu, Xin Tong
Mesh denoising via cascaded normal regression. ACM Trans. Graph. 35 (6) (2016)
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) (2015)