DeepMill: Neural Accessibility Learning for Subtractive Manufacturing. - Zhong, Fanchao; Wang, Yang; Wang, Peng-Shuai; Lu, Lin; Zhao, Haisen (CoRR, 2025)

Neural Laplacian Operator for 3D Point Clouds. - Pang, Bo; Zheng, Zhongtian; Li, Yilong; Wang, Guoping; Wang, Peng-Shuai (ACM Trans. Graph., 2024)

Neural-IMLS: Self-Supervised Implicit Moving Least-Squares Network for Surface Reconstruction. - Wang, Zixiong; Wang, Pengfei; Wang, Peng-Shuai; Dong, Qiujie; Gao, Junjie; Chen, Shuang-Min; Xin, Shiqing; Tu, Changhe; Wang, Wenping (IEEE Trans. Vis. Comput. Graph., 2024)

Visual-Preserving Mesh Repair. - Zheng, Zhongtian; Gao, Xifeng; Pan, Zherong; Li, Wei; Wang, Peng-Shuai; Wang, Guoping; Wu, Kui (IEEE Trans. Vis. Comput. Graph., 2024)

Point Transformer V3: Simpler, Faster, Stronger. - Wu, Xiaoyang; Jiang, Li; Wang, Peng-Shuai; Liu, Zhijian; Liu, Xihui; Qiao, Yu; Ouyang, Wanli; He, Tong; Zhao, Hengshuang (2024)

3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining. - Yan, Siming; Yang, Yuqi; Guo, Yu-Xiao; Pan, Hao; Wang, Peng-Shuai; Tong, Xin; Liu, Yang; Huang, Qixing (2024)

OctFusion: Octree-based Diffusion Models for 3D Shape Generation. - Xiong, Bojun; Wei, Si-Tong; Zheng, Xin-Yang; Cao, Yan-Pei; Lian, Zhouhui; Wang, Peng-Shuai (CoRR, 2024)

Neural Laplacian Operator for 3D Point Clouds. - Pang, Bo; Zheng, Zhongtian; Li, Yilong; Wang, Guoping; Wang, Peng-Shuai (CoRR, 2024)

Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs. - Li, Jihe; Pang, Bo; Wang, Peng-Shuai (CoRR, 2024)

Semi-supervised 3D shape segmentation with multilevel consistency and part substitution. - Sun, Chun-Yu; Yang, Yu-Qi; Guo, Hao-Xiang; Wang, Peng-Shuai; Tong, Xin; Liu, Yang; Shum, Heung-Yeung (Comput. Vis. Media, 2023)

Locally Attentional SDF Diffusion for Controllable 3D Shape Generation. - Zheng, Xin-Yang; Pan, Hao; Wang, Peng-Shuai; Tong, Xin; Liu, Yang; Shum, Heung-Yeung (ACM Trans. Graph., 2023)

OctFormer: Octree-based Transformers for 3D Point Clouds. - Wang, Peng-Shuai (ACM Trans. Graph., 2023)

Learning the Geodesic Embedding with Graph Neural Networks. - Pang, Bo; Zheng, Zhongtian; Wang, Guoping; Wang, Peng-Shuai (ACM Trans. Graph., 2023)

Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian. - Wang, Zixiong; Zhang, Yunxiao; Xu, Rui; Zhang, Fan; Wang, Peng-Shuai; Chen, Shuang-Min; Xin, Shiqing; Wang, Wenping; Tu, Changhe (ACM Trans. Graph., 2023)

Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning. - Wu, Huimin; Lei, Chenyang; Sun, Xiao; Wang, Peng-Shuai; Chen, Qifeng; Cheng, Kwang-Ting; Lin, Stephen; Wu, Zhirong (2023)

SinMPI: Novel View Synthesis from a Single Image with Expanded Multiplane Images. - Pu, Guo; Wang, Peng-Shuai; Lian, Zhouhui (2023)

Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding. - Yang, Yu-Qi; Guo, Yu-Xiao; Xiong, Jian-Yu; Liu, Yang; Pan, Hao; Wang, Peng-Shuai; Tong, Xin; Guo, Baining (CoRR, 2023)

3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining. - Yan, Siming; Yang, Yuqi; Guo, Yuxiao; Pan, Hao; Wang, Peng-Shuai; Tong, Xin; Liu, Yang; Huang, Qixing (CoRR, 2023)

OctFormer: Octree-based Transformers for 3D Point Clouds. - Wang, Peng-Shuai (CoRR, 2023)

Locally Attentional SDF Diffusion for Controllable 3D Shape Generation. - Zheng, Xin-Yang; Pan, Hao; Wang, Peng-Shuai; Tong, Xin; Liu, Yang; Shum, Heung-Yeung (CoRR, 2023)

Visual-Guided Mesh Repair. - Zheng, Zhongtian; Gao, Xifeng; Pan, Zherong; Li, Wei; Wang, Peng-Shuai; Wang, Guoping; Wu, Kui (CoRR, 2023)

Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian. - Wang, Zixiong; Zhang, Yunxiao; Xu, Rui; Zhang, Fan; Wang, Pengshuai; Chen, Shuang-Min; Xin, Shiqing; Wang, Wenping; Tu, Changhe (CoRR, 2023)

Learning the Geodesic Embedding with Graph Neural Networks. - Pang, Bo; Zheng, Zhongtian; Wang, Guoping; Wang, Peng-Shuai (CoRR, 2023)

Point Transformer V3: Simpler, Faster, Stronger. - Wu, Xiaoyang; Jiang, Li; Wang, Peng-Shuai; Liu, Zhijian; Liu, Xihui; Qiao, Yu; Ouyang, Wanli; He, Tong; Zhao, Hengshuang (CoRR, 2023)

SinMPI: Novel View Synthesis from a Single Image with Expanded Multiplane Images. - Pu, Guo; Wang, Peng-Shuai; Lian, Zhouhui (CoRR, 2023)

SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation. - Zheng, Xin-Yang; Liu, Yang; Wang, Peng-Shuai; Tong, Xin (Comput. Graph. Forum, 2022)

Dual octree graph networks for learning adaptive volumetric shape representations. - Wang, Peng-Shuai; Liu, Yang; Tong, Xin (ACM Trans. Graph., 2022)

Semi-supervised 3D shape segmentation with multilevel consistency and part substitution. - Sun, Chun-Yu; Yang, Yu-Qi; Guo, Hao-Xiang; Wang, Peng-Shuai; Tong, Xin; Liu, Yang; Shum, Heung-Yeung (CoRR, 2022)

Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations. - Wang, Peng-Shuai; Liu, Yang; Tong, Xin (CoRR, 2022)

SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation. - Zheng, Xin-Yang; Liu, Yang; Wang, Peng-Shuai; Tong, Xin (CoRR, 2022)

Randomized Quantization for Data Agnostic Representation Learning. - Wu, Huimin; Lei, Chenyang; Sun, Xiao; Wang, Peng-Shuai; Chen, Qifeng; Cheng, Kwang-Ting; Lin, Stephen; Wu, Zhirong (CoRR, 2022)

Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination. - Wang, Peng-Shuai; Yang, Yu-Qi; Zou, Qian-Fang; Wu, Zhirong; Liu, Yang; Tong, Xin (2021)

Deep Implicit Moving Least-Squares Functions for 3D Reconstruction. - Liu, Shi-Lin; Guo, Hao-Xiang; Pan, Hao; Wang, Peng-Shuai; Tong, Xin; Liu, Yang (2021)

Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks. - Yang, Yu-Qi; Wang, Peng-Shuai; Liu, Yang (2021)

Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields. - Wang, Peng-Shuai; Liu, Yang; Yang, Yu-Qi; Tong, Xin (2021)

Deep Implicit Moving Least-Squares Functions for 3D Reconstruction. - Liu, Shi-Lin; Guo, Hao-Xiang; Pan, Hao; Wang, Peng-Shuai; Tong, Xin; Liu, Yang (CoRR, 2021)

Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields. - Wang, Peng-Shuai; Liu, Yang; Yang, Yu-Qi; Tong, Xin (CoRR, 2021)

Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks. - Yang, Yu-Qi; Wang, Peng-Shuai; Liu, Yang (CoRR, 2021)

Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion. - Wang, Peng-Shuai; Liu, Yang; Tong, Xin (2020)

Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion. - Wang, Peng-Shuai; Liu, Yang; Tong, Xin (CoRR, 2020)

Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination. - Wang, Peng-Shuai; Yang, Yu-Qi; Zou, Qian-Fang; Wu, Zhirong; Liu, Yang; Tong, Xin (CoRR, 2020)

Adaptive O-CNN: a patch-based deep representation of 3D shapes. - Wang, Peng-Shuai; Sun, Chun-Yu; Liu, Yang; Tong, Xin (ACM Trans. Graph., 2018)

Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes. - Wang, Peng-Shuai; Sun, Chun-Yu; Liu, Yang; Tong, Xin (CoRR, 2018)

O-CNN: octree-based convolutional neural networks for 3D shape analysis. - Wang, Peng-Shuai; Liu, Yang; Guo, Yu-Xiao; Sun, Chun-Yu; Tong, Xin (ACM Trans. Graph., 2017)

O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis. - Wang, Peng-Shuai; Liu, Yang; Guo, Yu-Xiao; Sun, Chun-Yu; Tong, Xin (CoRR, 2017)

Mesh denoising via cascaded normal regression. - Wang, Peng-Shuai; Liu, Yang; Tong, Xin (ACM Trans. Graph., 2016)

Rolling guidance normal filter for geometric processing. - Wang, Peng-Shuai; Fu, Xiao-Ming; Liu, Yang; Tong, Xin; Liu, Shi-Lin; Guo, Baining (ACM Trans. Graph., 2015)