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Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud
  Registration

Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration

8 October 2024
Xueyang Kang
Zhaoliang Luan
Kourosh Khoshelham
Bing Wang
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration"

32 / 32 papers shown
Title
SE(3)-Equivariant Attention Networks for Shape Reconstruction in
  Function Space
SE(3)-Equivariant Attention Networks for Shape Reconstruction in Function Space
Evangelos Chatzipantazis
Stefanos Pertigkiozoglou
Yan Sun
Kostas Daniilidis
3DPC
106
33
0
05 Apr 2022
Geometric Transformer for Fast and Robust Point Cloud Registration
Geometric Transformer for Fast and Robust Point Cloud Registration
Zheng Qin
Hao Yu
Changjian Wang
Yulan Guo
Yuxing Peng
Kaiping Xu
ViT3DPC
79
307
0
14 Feb 2022
You Only Hypothesize Once: Point Cloud Registration with
  Rotation-equivariant Descriptors
You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors
Haiping Wang
Yuan Liu
Zhen Dong
Wenping Wang
3DPC
83
130
0
01 Sep 2021
F-LOAM: Fast LiDAR Odometry And Mapping
F-LOAM: Fast LiDAR Odometry And Mapping
Han Wang
Chen Wang
Chun-Lin Chen
Lihua Xie
67
274
0
02 Jul 2021
Steerable Partial Differential Operators for Equivariant Neural Networks
Steerable Partial Differential Operators for Equivariant Neural Networks
Erik Jenner
Maurice Weiler
59
29
0
18 Jun 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
502
10,526
0
17 Jun 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Congyue Deng
Or Litany
Yueqi Duan
A. Poulenard
Andrea Tagliasacchi
Leonidas Guibas
3DPC
180
329
0
25 Apr 2021
PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency
PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency
Xuyang Bai
Zixin Luo
Lei Zhou
Hongkai Chen
Lei Li
Zeyu Hu
Hongbo Fu
Chiew-Lan Tai
3DPC
57
257
0
09 Mar 2021
Iterative SE(3)-Transformers
Iterative SE(3)-Transformers
F. Fuchs
E. Wagstaff
Justas Dauparas
Ingmar Posner
45
17
0
26 Feb 2021
UnsupervisedR&R: Unsupervised Point Cloud Registration via
  Differentiable Rendering
UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering
Mohamed El Banani
Luya Gao
Justin Johnson
3DPC
47
59
0
23 Feb 2021
E(n) Equivariant Graph Neural Networks
E(n) Equivariant Graph Neural Networks
Victor Garcia Satorras
Emiel Hoogeboom
Max Welling
113
1,033
0
19 Feb 2021
LieTransformer: Equivariant self-attention for Lie Groups
LieTransformer: Equivariant self-attention for Lie Groups
M. Hutchinson
Charline Le Lan
Sheheryar Zaidi
Emilien Dupont
Yee Whye Teh
Hyunjik Kim
119
111
0
20 Dec 2020
PREDATOR: Registration of 3D Point Clouds with Low Overlap
PREDATOR: Registration of 3D Point Clouds with Low Overlap
Shengyu Huang
Zan Gojcic
Mikhail (Misha) Usvyatsov
A. Wieser
Konrad Schindler
3DPC
82
488
0
25 Nov 2020
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud
  Registration
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
Sheng Ao
Qingyong Hu
Bo Yang
Andrew Markham
Yulan Guo
3DPCOOD
94
280
0
24 Nov 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
F. Fuchs
Daniel E. Worrall
Volker Fischer
Max Welling
3DPC
158
697
0
18 Jun 2020
Lorentz Group Equivariant Neural Network for Particle Physics
Lorentz Group Equivariant Neural Network for Particle Physics
A. Bogatskiy
Brandon M. Anderson
Jan T. Offermann
M. Roussi
David W. Miller
Risi Kondor
AI4CE
70
141
0
08 Jun 2020
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric
  Densities
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities
Jonas Köhler
Leon Klein
Frank Noé
DRL
114
278
0
03 Jun 2020
Deep Global Registration
Deep Global Registration
Chris Choy
W. Dong
V. Koltun
3DPC
59
471
0
24 Apr 2020
D3Feat: Joint Learning of Dense Detection and Description of 3D Local
  Features
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
83
394
0
06 Mar 2020
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
237
745
0
02 Mar 2020
Generalizing Convolutional Neural Networks for Equivariance to Lie
  Groups on Arbitrary Continuous Data
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
Marc Finzi
Samuel Stanton
Pavel Izmailov
A. Wilson
122
324
0
25 Feb 2020
Learning multiview 3D point cloud registration
Learning multiview 3D point cloud registration
Zan Gojcic
Caifa Zhou
Jan Dirk Wegner
Leonidas Guibas
Tolga Birdal
3DPC
89
167
0
15 Jan 2020
General $E(2)$-Equivariant Steerable CNNs
General E(2)E(2)E(2)-Equivariant Steerable CNNs
Maurice Weiler
Gabriele Cesa
115
525
0
19 Nov 2019
Universal Invariant and Equivariant Graph Neural Networks
Universal Invariant and Equivariant Graph Neural Networks
Nicolas Keriven
Gabriel Peyré
196
294
0
13 May 2019
3DRegNet: A Deep Neural Network for 3D Point Registration
3DRegNet: A Deep Neural Network for 3D Point Registration
Goncalo Dias Pais
Srikumar Ramalingam
V. Govindu
Jacinto C. Nascimento
Rama Chellappa
Pedro Miraldo
3DPC3DV
105
225
0
02 Apr 2019
A Graph-CNN for 3D Point Cloud Classification
A Graph-CNN for 3D Point Cloud Classification
Yingxue Zhang
Michael G. Rabbat
3DPC
192
158
0
28 Nov 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in
  Volumetric Data
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data
Maurice Weiler
Mario Geiger
Max Welling
Wouter Boomsma
Taco S. Cohen
3DPC
118
507
0
06 Jul 2018
Tensor field networks: Rotation- and translation-equivariant neural
  networks for 3D point clouds
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds
Nathaniel Thomas
Tess E. Smidt
S. Kearnes
Lusann Yang
Li Li
Kai Kohlhoff
Patrick F. Riley
3DPC
98
978
0
22 Feb 2018
Learning Steerable Filters for Rotation Equivariant CNNs
Learning Steerable Filters for Rotation Equivariant CNNs
Maurice Weiler
Fred Hamprecht
M. Storath
102
388
0
20 Nov 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
598
7,496
0
04 Apr 2017
Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration
Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration
Jiaolong Yang
Hongdong Li
Dylan Campbell
Yunde Jia
3DPC
60
944
0
11 May 2016
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
176
1,946
0
24 Feb 2016
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