Peng-Shuai Wang

According to our database, Peng-Shuai Wang authored at least 28 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Neural Laplacian Operator for 3D Point Clouds.

Bo Pang, Zhongtian Zheng, Yilong Li, Guoping Wang, Peng-Shuai Wang

ACM Trans. Graph., December, 2024

Visual-Preserving Mesh Repair.

Zhongtian Zheng, Xifeng Gao, Zherong Pan, Wei Li, Peng-Shuai Wang, Guoping Wang, Kui Wu

IEEE Trans. Vis. Comput. Graph., September, 2024

Neural-IMLS: Self-Supervised Implicit Moving Least-Squares Network for Surface Reconstruction.

Zixiong Wang, Pengfei Wang, Peng-Shuai Wang, Qiujie Dong, Junjie Gao, Shuang-Min Chen, Shiqing Xin, Changhe Tu, Wenping Wang

IEEE Trans. Vis. Comput. Graph., August, 2024

Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs.

Jihe Li, Bo Pang, Peng-Shuai Wang

CoRR, 2024

OctFusion: Octree-based Diffusion Models for 3D Shape Generation.

Bojun Xiong, Si-Tong Wei, Xin-Yang Zheng, Yan-Pei Cao, Zhouhui Lian, Peng-Shuai Wang

CoRR, 2024

3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining.

Siming Yan, Yuqi Yang, Yu-Xiao Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu, Qixing Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Point Transformer V3: Simpler, Faster, Stronger.

Xiaoyang Wu, Li Jiang, Peng-Shuai Wang, Zhijian Liu, Xihui Liu, Yu Qiao, Wanli Ouyang, Tong He, Hengshuang Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian.

Zixiong Wang, Yunxiao Zhang, Rui Xu, Fan Zhang, Peng-Shuai Wang, Shuang-Min Chen, Shiqing Xin, Wenping Wang, Changhe Tu

ACM Trans. Graph., December, 2023

Learning the Geodesic Embedding with Graph Neural Networks.

Bo Pang, Zhongtian Zheng, Guoping Wang, Peng-Shuai Wang

ACM Trans. Graph., December, 2023

Locally Attentional SDF Diffusion for Controllable 3D Shape Generation.

Xin-Yang Zheng, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu, Heung-Yeung Shum

ACM Trans. Graph., August, 2023

OctFormer: Octree-based Transformers for 3D Point Clouds.

Peng-Shuai Wang

ACM Trans. Graph., August, 2023

Semi-supervised 3D shape segmentation with multilevel consistency and part substitution.

Chun-Yu Sun, Yu-Qi Yang, Hao-Xiang Guo, Peng-Shuai Wang, Xin Tong, Yang Liu, Heung-Yeung Shum

Comput. Vis. Media, 2023

Visual-Guided Mesh Repair.

Zhongtian Zheng, Xifeng Gao, Zherong Pan, Wei Li, Peng-Shuai Wang, Guoping Wang, Kui Wu

CoRR, 2023

Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding.

Yu-Qi Yang, Yu-Xiao Guo, Jian-Yu Xiong, Yang Liu, Hao Pan, Peng-Shuai Wang, Xin Tong, Baining Guo

CoRR, 2023

SinMPI: Novel View Synthesis from a Single Image with Expanded Multiplane Images.

Guo Pu, Peng-Shuai Wang, Zhouhui Lian

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning.

Huimin Wu, Chenyang Lei, Xiao Sun, Peng-Shuai Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Dual octree graph networks for learning adaptive volumetric shape representations.

Peng-Shuai Wang, Yang Liu, Xin Tong

ACM Trans. Graph., 2022

Randomized Quantization for Data Agnostic Representation Learning.

Huimin Wu, Chenyang Lei, Xiao Sun, Peng-Shuai Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu

CoRR, 2022

SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation.

Xin-Yang Zheng, Yang Liu, Peng-Shuai Wang, Xin Tong

Comput. Graph. Forum, 2022

2021

Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields.

Peng-Shuai Wang, Yang Liu, Yu-Qi Yang, Xin Tong

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks.

Yu-Qi Yang, Peng-Shuai Wang, Yang Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Implicit Moving Least-Squares Functions for 3D Reconstruction.

Shi-Lin Liu, Hao-Xiang Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination.

Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou, Zhirong Wu, Yang Liu, Xin Tong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion.

Peng-Shuai Wang, Yang Liu, Xin Tong

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Adaptive O-CNN: a patch-based deep representation of 3D shapes.

Peng-Shuai Wang, Chun-Yu Sun, Yang Liu, Xin Tong

ACM Trans. Graph., 2018

2017

O-CNN: octree-based convolutional neural networks for 3D shape analysis.

Peng-Shuai Wang, Yang Liu, Yu-Xiao Guo, Chun-Yu Sun, Xin Tong

ACM Trans. Graph., 2017

2016

Mesh denoising via cascaded normal regression.

Peng-Shuai Wang, Yang Liu, Xin Tong

ACM Trans. Graph., 2016

2015

Rolling guidance normal filter for geometric processing.

Peng-Shuai Wang, Xiao-Ming Fu, Yang Liu, Xin Tong, Shi-Lin Liu, Baining Guo

ACM Trans. Graph., 2015