Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering

11 May 2019

Papers citing "Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering"

38 / 38 papers shown

Title
FlexPara: Flexible Neural Surface Parameterization Yuming Zhao Qijian Zhang Junhui Hou Jiazhi Xia Wenping Wang Ying He AI4CE 70 0 0 27 Apr 2025
Deep Parametric Continuous Convolutional Neural Networks Shenlong Wang Simon Suo Wei-Chiu Ma A. Pokrovsky R. Urtasun 3DPC 87 467 0 17 Jan 2021
Large-scale 3D point cloud representations via graph inception networks with applications to autonomous driving Siheng Chen Sufeng Niu Tian Lan Baoan Liu GNN 3DPC 48 31 0 26 Jun 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation Jeong Joon Park Peter R. Florence Julian Straub Richard Newcombe S. Lovegrove 3DV 131 3,688 0 16 Jan 2019
3D Point Capsule Networks Yongheng Zhao Tolga Birdal Haowen Deng Federico Tombari 3DPC 58 337 0 27 Dec 2018
A Graph-CNN for 3D Point Cloud Classification Yingxue Zhang Michael G. Rabbat 3DPC 180 158 0 28 Nov 2018
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions Zhizhong Han Mingyang Shang Yu-Shen Liu Matthias Zwicker SSL 3DV GAN 72 134 0 07 Nov 2018
Tangent Convolutions for Dense Prediction in 3D Maxim Tatarchenko Jaesik Park V. Koltun Qian-Yi Zhou 3DV 3DPC MDE 88 545 0 06 Jul 2018
Learning graphs from data: A signal representation perspective Xiaowen Dong D. Thanou Michael G. Rabbat P. Frossard 102 381 0 03 Jun 2018
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 182 287 0 01 May 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 216 771 0 30 Mar 2018
3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model Jin Zeng Gene Cheung Michael Kwok-Po Ng Jiahao Pang Cheng Yang 3DV 57 155 0 20 Mar 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis Jiaxin Li Ben M. Chen Gim Hee Lee 3DPC 77 938 0 12 Mar 2018
SPLATNet: Sparse Lattice Networks for Point Cloud Processing Hang Su Varun Jampani Deqing Sun Subhransu Maji E. Kalogerakis Ming-Hsuan Yang Jan Kautz 3DPC 58 750 0 22 Feb 2018
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DV 140 1,184 0 15 Feb 2018
Recurrent Slice Networks for 3D Segmentation of Point Clouds Qiangui Huang Weiyue Wang Ulrich Neumann 3DPC 98 455 0 13 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 257 6,149 0 24 Jan 2018
PU-Net: Point Cloud Upsampling Network Lequan Yu Xianzhi Li Chi-Wing Fu Daniel Cohen-Or Pheng-Ann Heng 3DPC 76 578 0 21 Jan 2018
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation Weiyue Wang Ronald Yu Qiangui Huang Ulrich Neumann 3DPC 96 552 0 23 Nov 2017
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection Yin Zhou Oncel Tuzel 3DPC 109 3,723 0 17 Nov 2017
Learning Representations and Generative Models for 3D Point Clouds Panos Achlioptas Olga Diamanti Ioannis Mitliagkas Leonidas Guibas 3DV 3DPC 66 88 0 08 Jul 2017
Generalized Value Iteration Networks: Life Beyond Lattices Sufeng Niu Siheng Chen Hanyu Guo Colin Targonski M. C. Smith J. Kovacevic GNN 54 54 0 08 Jun 2017
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models Roman Klokov Victor Lempitsky 3DV 74 983 0 04 Apr 2017
Fast Resampling of 3D Point Clouds via Graphs Siheng Chen Dong Tian Chen Feng A. Vetro J. Kovacevic 3DPC 67 155 0 11 Feb 2017
A Point Set Generation Network for 3D Object Reconstruction from a Single Image Haoqiang Fan Hao Su Leonidas Guibas 3DPC 3DV 166 2,238 0 02 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 484 14,320 0 02 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 808 3,287 0 24 Nov 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 308 1,953 0 24 Oct 2016
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks Andrew Brock Theodore Lim J. Ritchie Nick Weston 59 581 0 15 Aug 2016
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels Abhishek Sharma O. Grau Mario Fritz 3DPC 64 279 0 13 Apr 2016
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction Chris Choy Danfei Xu JunYoung Gwak Kevin Chen Silvio Savarese 3DV 86 1,716 0 02 Apr 2016
Learning a Predictable and Generative Vector Representation for Objects Rohit Girdhar David Fouhey Mikel D. Rodriguez Abhinav Gupta 3DV 74 709 0 29 Mar 2016
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 162 5,530 0 09 Dec 2015
Graph-based compression of dynamic 3D point cloud sequences D. Thanou P. Chou P. Frossard 3DPC 78 227 0 19 Jun 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition Hang Su Subhransu Maji E. Kalogerakis Erik Learned-Miller 3DV 156 3,218 0 05 May 2015
Signal Recovery on Graphs: Variation Minimization Siheng Chen A. Sandryhaila José M. F. Moura J. Kovacevic 47 270 0 26 Nov 2014
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains D. Shuman S. K. Narang P. Frossard Antonio Ortega P. Vandergheynst 130 3,974 0 31 Oct 2012
Perfect Reconstruction Two-Channel Wavelet Filter-Banks for Graph Structured Data S. K. Narang Antonio Ortega 60 394 0 18 Jun 2011