Searching Dense Point Correspondences via Permutation Matrix Learning

26 October 2022

Zhiyuan Zhang

Jiadai Sun

Yuchao Dai

Papers citing "Searching Dense Point Correspondences via Permutation Matrix Learning"

22 / 22 papers shown

Title
GA-NET: Global Attention Network for Point Cloud Semantic Segmentation Shuang Deng Qiulei Dong 3DPC 38 42 0 07 Jul 2021
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds Yiming Zeng Y. Qian Zhiyu Zhu Junhui Hou Hui Yuan Ying He 3DPC 139 67 0 31 Dec 2020
Deep Global Registration Chris Choy W. Dong V. Koltun 3DPC 45 469 0 24 Apr 2020
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence Nicolas Donati Abhishek Sharma M. Ovsjanikov AAML 3DPC 87 155 0 31 Mar 2020
RPM-Net: Robust Point Matching using Learned Features Zi Jian Yew Gim Hee Lee 3DPC 45 437 0 30 Mar 2020
D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features Xuyang Bai Zixin Luo Lei Zhou Hongbo Fu Long Quan Chiew-Lan Tai 3DPC 53 387 0 06 Mar 2020
PRNet: Self-Supervised Learning for Partial-to-Partial Registration Yue Wang Justin Solomon SSL 3DPC 110 382 0 27 Oct 2019
Deep Closest Point: Learning Representations for Point Cloud Registration Yue Wang Justin Solomon 3DPC 48 844 0 08 May 2019
Unsupervised Deep Learning for Structured Shape Matching Jean-Michel Roufosse Abhishek Sharma M. Ovsjanikov 3DPC 34 139 0 10 Dec 2018
The Perfect Match: 3D Point Cloud Matching with Smoothed Densities Zan Gojcic Caifa Zhou Jan Dirk Wegner A. Wieser 3DPC 3DV 57 455 0 16 Nov 2018
3D-CODED : 3D Correspondences by Deep Deformation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 144 328 0 13 Jun 2018
Continuous and Orientation-preserving Correspondences via Functional Maps Jing Ren A. Poulenard Peter Wonka M. Ovsjanikov 27 165 0 12 Jun 2018
FlowNet3D: Learning Scene Flow in 3D Point Clouds Xingyu Liu C. Qi Leonidas Guibas 3DPC 67 474 0 04 Jun 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks Gonzalo E. Mena David Belanger Scott W. Linderman Jasper Snoek 72 267 0 23 Feb 2018
IMLS-SLAM: scan-to-model matching based on 3D data Jean-Emmanuel Deschaud 39 316 0 23 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 225 6,102 0 24 Jan 2018
Robust and Precise Vehicle Localization based on Multi-sensor Fusion in Diverse City Scenes Guowei Wan Xiaolong Yang Renlan Cai Hao Li Hongya Wang Shiyu Song 46 279 0 15 Nov 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 487 129,831 0 12 Jun 2017
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence Or Litany Tal Remez Emanuele Rodolà A. Bronstein M. Bronstein 3DPC 103 284 0 27 Apr 2017
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space Matthias Vestner R. Litman Emanuele Rodolà A. Bronstein Daniel Cremers 62 130 0 03 Jan 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 364 1,817 0 25 Nov 2016
Learning shape correspondence with anisotropic convolutional neural networks Davide Boscaini Jonathan Masci Emanuele Rodolà M. Bronstein 3DPC 119 506 0 20 May 2016