Coarse-to-Fine Point Cloud Registration with SE(3)-Equivariant
Representations

Coarse-to-Fine Point Cloud Registration with SE(3)-Equivariant Representations

5 October 2022

Hsin-Ying Lee

Papers citing "Coarse-to-Fine Point Cloud Registration with SE(3)-Equivariant Representations"

6 / 6 papers shown

Title
Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly Ruihai Wu Chenrui Tie Yushi Du Yan Zhao Hao Dong 31 19 0 13 Sep 2023
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision Jiahui Lei Congyue Deng Karl Schmeckpeper Leonidas J. Guibas Kostas Daniilidis 3DPC 24 21 0 27 Mar 2023
NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects Jiahui Fu Yilun Du Kurran Singh J. Tenenbaum John J. Leonard 33 8 0 13 Mar 2023
Vector Neurons: A General Framework for SO(3)-Equivariant Networks Congyue Deng Or Litany Yueqi Duan A. Poulenard Andrea Tagliasacchi Leonidas J. Guibas 3DPC 111 315 0 25 Apr 2021
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 36 385 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 14,099 0 02 Dec 2016