You Only Hypothesize Once: Point Cloud Registration with
Rotation-equivariant Descriptors

You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors

1 September 2021

Wenping Wang

Papers citing "You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors"

7 / 57 papers shown

Title
KTNet: Knowledge Transfer for Unpaired 3D Shape Completion Zhenhua Cao Wenxiao Zhang Xin Wen Zhen Dong Yu-Shen Liu Xiongwu Xiao Bisheng Yang 3DPC 3DV 33 9 0 23 Nov 2021
Deep Hough Voting for Robust Global Registration Junha Lee Seungwook Kim Minsu Cho Jaesik Park 3DPC 48 99 0 09 Sep 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 125 317 0 25 Apr 2021
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
TEASER: Fast and Certifiable Point Cloud Registration Heng Yang Jingang Shi Luca Carlone 3DPC 142 658 0 21 Jan 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