Publications
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SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D
Shape Generation
Xin-Yang Zheng,
Yang Liu,
Peng-Shuai Wang,
and Xin Tong
Computer Graphics Forum (SGP), 2022
[Code]
[Arxiv (2022.06) ]
[Project page]
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Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations
Peng-Shuai Wang,
Yang Liu and
Xin Tong
ACM Transactions on Graphics (SIGGRAPH), 41(4), 2022
[Code]
[Slides]
[Arxiv (2022.05) ]
[Project]
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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 and
Heung-Yeung Shum
Computational Visual Media, 2022
[Code]
[Arxiv (2022.04) ]
[Project page]
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Interpolation-Aware Padding for 3D Sparse
Convolutional Neural Networks
Yu-Qi Yang,
Peng-Shuai Wang, and
Yang Liu
International Conference on Computer Vision (ICCV), 2021
[Code]
[Arxiv (2021.08)]
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Spline Positional Encoding for Learning 3D
Implicit Signed Distance Fields
Peng-Shuai Wang,
Yang Liu,
Yu-Qi Yang, and
Xin Tong
International Joint Conferences on Artificial Intelligence (IJCAI), 2021
[Code]
[Slides]
[Arxiv (2021.06)]
[Project]
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Deep Implicit Moving Least-Squares Functions for
3D Reconstruction
Shi-Lin Liu,
Hao-Xiang Guo,
Hao Pan,
Peng-Shuai Wang,
Xin Tong, and
Yang Liu
Computer Vision and Pattern Recognition (CVPR), 2021
[Code]
[Arxiv (2021.03)]
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OctSurf:
Efficient hierarchical voxel-based molecular surface representation for protein-ligand affinity
prediction
Qinqing Liu ,
Peng-Shuai Wang,
Chunjiang Zhu,
Blake Blumenfeld Gaines, Tan Zhu
Jinbo Bi, and
Minghu Song
Journal of Molecular Graphics and Modelling, 2021
[Code]
[Paper]
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Unsupervised 3D Learning for Shape Analysis via
Multiresolution Instance Discrimination
Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou,
Zhirong Wu,
Yang Liu and
Xin Tong
AAAI Conference on Artificial Intelligence (AAAI), 2021
[Code]
[Slides]
[Arxiv (2020.08)]
[Project]
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Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene
Completion
Peng-Shuai Wang,
Yang Liu and
Xin Tong
Computer Vision and Pattern Recognition (CVPR) Workshops, 2020
[Code]
[Arxiv (2020.06)]
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Adaptive O-CNN: A Patch-based
Deep Representation of 3D Shapes
Peng-Shuai Wang,
Chun-Yu Sun,
Yang Liu and
Xin Tong
ACM Transactions on Graphics (SIGGRAPH Asia), 37(6), 2018
[Code]
[Slides]
[Project]
[DOI]
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O-CNN: Octree-based Convolutional
Neural Networks for 3D Shape Analysis
Peng-Shuai Wang,
Yang Liu,
Yu-Xiao Guo,
Chun-Yu Sun,
and
Xin Tong
ACM Transactions on Graphics (SIGGRAPH), 36(4), 2017
Top-5 Most Cited Papers in ACM Transactions on Graphics from 2016 to 2021
[Code]
[Slides]
[Project]
[DOI]
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Mesh Denoising via
Cascaded
Normal Regression
Peng-Shuai Wang,
Yang Liu, and
Xin Tong
ACM Transactions on Graphics (SIGGRAPH Asia), 35(6), 2016
[Code]
[Data]
[Project]
[DOI]
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Rolling
Guidance Normal Filter for Geometric Processing
Peng-Shuai Wang,
Xiao-Ming Fu,
Yang Liu,
Xin Tong,
Shi-Lin Liu and
Baining Guo
ACM Transactions on Graphics (SIGGRAPH Asia), 34(6), 2015
[EXE]
[Data]
[Video]
[DOI]
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