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Surface Reconstruction from Point Clouds by Learning Predictive Context Priors


Apr 23, 2022
Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han

* To appear at CVPR2022. Project page:this https URL https://mabaorui.github.io/PredictableContextPrior_page/ 

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Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors


Apr 22, 2022
Baorui Ma, Yu-Shen Liu, Zhizhong Han

* To appear at CVPR2022. Project page:this https URL https://mabaorui.github.io/-OnSurfacePrior_project_page/ 

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Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds


Mar 30, 2022
Tianyang Li, Xin Wen, Yu-Shen Liu, Hua Su, Zhizhong Han

* Accepted by CVPR 2022 

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3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow


Mar 29, 2022
Xin Wen, Junsheng Zhou, Yu-Shen Liu, Zhen Dong, Zhizhong Han

* Accepted by CVPR 2022 

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Self-Supervised Point Cloud Representation Learning with Occlusion Auto-Encoder


Mar 26, 2022
Junsheng Zhou, Xin Wen, Yu-Shen Liu, Yi Fang, Zhizhong Han


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PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step Point Moving Paths


Feb 28, 2022
Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu

* 16 pages, 17 figures. Journel extension of CVPR 2021 paper PMP-Net(arXiv:2012.03408), Accepted by TPAMI 

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Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer


Feb 22, 2022
Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han

* IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Dec. 2021, under review. This work is a journal extension of our ICCV 2021 paper arXiv:2108.04444 . The first two authors contributed equally 

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Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results


Dec 22, 2021
Liang Pan, Tong Wu, Zhongang Cai, Ziwei Liu, Xumin Yu, Yongming Rao, Jiwen Lu, Jie Zhou, Mingye Xu, Xiaoyuan Luo, Kexue Fu, Peng Gao, Manning Wang, Yali Wang, Yu Qiao, Junsheng Zhou, Xin Wen, Peng Xiang, Yu-Shen Liu, Zhizhong Han, Yuanjie Yan, Junyi An, Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez-Fernández, Qinlong Wang, Yang Yang

* 15 pages, 13 figures, ICCV2021 Workshop Technique Report, the codebase webpage: https://github.com/paul007pl/MVP_Benchmark 

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SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer


Aug 10, 2021
Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han

* To appear at ICCV 2021. Our code, data and models will be available at https://github.com/AllenXiangX/SnowflakeNet 

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Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching


Aug 08, 2021
Chen Chao, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker

* To appear at ICCV 2021. Our code, data and models are available at https://github.com/chenchao15/2D\_projection\_matching 

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Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views


Aug 08, 2021
Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker

* To appear at ACMMM 2021 

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Part2Word: Learning Joint Embedding of Point Clouds and Text by Matching Parts to Words


Jul 05, 2021
Chuan Tang, Xi Yang, Bojian Wu, Zhizhong Han, Yi Chang


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Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding


Mar 14, 2021
Xin Wen, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu

* Accepted to CVPR 2021 

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SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization


Dec 08, 2020
Xinhai Liu, Xinchen Liu, Zhizhong Han, Yu-Shen Liu


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PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths


Dec 07, 2020
Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu


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Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces


Nov 26, 2020
Baorui Ma, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker


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DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images


Jul 12, 2020
Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker

* Accepted at ICML2020 

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Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions


May 26, 2020
Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker

* The FG3D dataset is available at https://drive.google.com/drive/folders/1zLDdE8mMIxVKh3usnUhqtWm-o9TbIMdV?usp=sharing 

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Point Cloud Completion by Skip-attention Network with Hierarchical Folding


May 18, 2020
Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu

* Accepted by CVPR 2020 

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LRC-Net: Learning Discriminative Features on Point Clouds by Encoding Local Region Contexts


Mar 21, 2020
Xinhai Liu, Zhizhong Han, Fangzhou Hong, Yu-Shen Liu, Matthias Zwicker

* To be published at GMP2020 

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LRC-Net: Learning Discriminative Features on Point Clouds by EncodingLocal Region Contexts


Mar 18, 2020
Xinhai Liu, Zhizhong Han, Fangzhou Hong, Yu-Shen Liu, Matthias Zwicker

* To be published at GMP2020 

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SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates


Mar 16, 2020
Zhizhong Han, Guanhui Qiao, Yu-Shen Liu, Matthias Zwicker


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Learning to Generate Dense Point Clouds with Textures on Multiple Categories


Dec 22, 2019
Tao Hu, Geng Lin, Zhizhong Han, Matthias Zwicker


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SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization


Dec 15, 2019
Yue Jiang, Dantong Ji, Zhizhong Han, Matthias Zwicker


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3D Shape Completion with Multi-view Consistent Inference


Nov 28, 2019
Tao Hu, Zhizhong Han, Matthias Zwicker

* Accepted to AAAI 2020 as oral presentation 

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Fast Low-rank Metric Learning for Large-scale and High-dimensional Data


Sep 13, 2019
Han Liu, Zhizhong Han, Yu-Shen Liu, Ming Gu

* 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) 

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Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatial-aware Capsules


Aug 29, 2019
Xin Wen, Zhizhong Han, Xinhai Liu, Yu-Shen Liu


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L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention


Aug 02, 2019
Xinhai Liu, Zhizhong Han, Xin Wen, Yu-Shen Liu, Matthias Zwicker


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