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OctFusion: Octree-based Diffusion Models for 3D Shape Generation
Bojun Xiong*,
Si-Tong Wei*,
Xin-Yang Zheng,
Yan-Pei Cao,
Zhouhui Lian, and
Peng-Shuai Wang (*Joint first authors)
Technical Report, 2024
Code
Arxiv
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Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs
Jihe Li,
Bo Pang, and
Peng-Shuai Wang
Computational Visual Media (CVMJ), 2024
Code
Arxiv
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Neural Laplacian Operator for 3D Point Clouds
Bo Pang,
Zhongtian Zheng,
Yilong Li,
Guoping Wang, and
Peng-Shuai Wang
ACM Transactions on Graphics (SIGGRAPH Asia), 43(6), 2024
Code
Arxiv
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Point Transformer V3: Simpler, Faster,
Stronger
Xiaoyang Wu,
Li Jiang,
Peng-Shuai Wang,
Zhijian Liu,
Xihui Liu,
Yu Qiao,
Wanli Ouyang,
Tong He, and
Hengshuang Zhao
Computer Vision and Pattern Recognition (CVPR), 2024 - (Oral, 0.78% acceptance rate)
Code
Arxiv
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3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
Siming Yan,
Yu-Qi Yang,
Yu-Xiao Guo,
Hao Pan,
Peng-Shuai Wang,
Xin Tong,
Yang Liu, and
Qixing Huang
International Conference on Learning Representations (ICLR), 2024
Code
Arxiv
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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,
and
Baining Guo
Computational Visual Media (CVMJ), 2024
Code
Arxiv
Project
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Learning the Geodesic Embedding with Graph
Neural Networks
Bo Pang*,
Zhongtian Zheng*,
Guoping Wang, and
Peng-Shuai Wang (*Joint first authors)
ACM Transactions on Graphics (SIGGRAPH Asia), 42(6), 2023
Code
Slides
Arxiv
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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, Shuangmin Chen,
Shiqing Xin,
Wenping Wang, and
Changhe Tu
ACM Transactions on Graphics (SIGGRAPH Asia), 42(6), 2023
Code
Arxiv
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SinMPI: Novel View Synthesis from a Single
Image with Expanded Multiplane Images
Guo Pu,
Peng-Shuai Wang, and
Zhouhui Lian
SIGGRAPH Asia (Conference track), 2023
Code
Arxiv
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Randomized Quantization for Data Agnostic
Representation Learning
Huimin Wu*,
Chenyang Lei*,
Xiao Sun,
Peng-Shuai Wang,
Qifeng Chen,
Kwang-Ting Cheng,
Stephen Lin,
and
Zhirong Wu
(*Joint first authors)
International Conference on Computer Vision (ICCV), 2023
Code
Arxiv
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Neural-IMLS: Learning Implicit Moving
Least-Squares for Surface Reconstruction from Unoriented Point clouds
Zixiong Wang, Pengfei Wang, Peng-Shuai
Wang,
Qiujie Dong,
Junjie Gao, Shuangmin Chen,
Shiqing Xin,
Changhe Tu, and
Wenping Wang
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
Code
Arxiv
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OctFormer: Octree-based Transformers for 3D
Point Clouds
Peng-Shuai Wang
ACM Transactions on Graphics (SIGGRAPH), 42(4), 2023
Code
Slides
Arxiv
Project
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Locally Attentional SDF Diffusion for
Controllable 3D Shape Generation
Xin-Yang Zheng,
Hao Pan,
Peng-Shuai Wang,
Xin Tong,
Yang Liu, and
Heung-Yeung
Shum
ACM Transactions on Graphics (SIGGRAPH), 42(4), 2023
Code
Slides
Arxiv
Project
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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
Project
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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
Code (Stale)
Slides
Arxiv
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 (CVMJ), 2022
Code
Arxiv
Project
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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
Project
|
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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
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
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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
Jeffry
D. Madura Memorial Graphics Prize
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
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
|
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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
Arxiv
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 2017 to 2022
Code
Code (Stale)
Slides
Arxiv
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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