VRNet: Learning the Rectified Virtual Corresponding Points for 3D Point
Cloud Registration

VRNet: Learning the Rectified Virtual Corresponding Points for 3D Point Cloud Registration

24 March 2022

Jiadai Sun

Yuchao Dai

Papers citing "VRNet: Learning the Rectified Virtual Corresponding Points for 3D Point Cloud Registration"

5 / 5 papers shown

Title
RoCNet: 3D Robust Registration of Point-Clouds using Deep Learning K. Slimani Brahim Tamadazte Catherine Achard 3DV 3DPC 22 4 0 14 Mar 2023
Learning a Task-specific Descriptor for Robust Matching of 3D Point Clouds Zhiyuan Zhang Yuchao Dai Bin Fan Jiadai Sun Mingyi He 3DPC 46 7 0 26 Oct 2022
Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences Xiaoshui Huang Guofeng Mei Jian Zhang 3DPC 65 245 0 03 May 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 39 385 0 06 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,109 0 02 Dec 2016