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PointViG: A Lightweight GNN-based Model for Efficient Point Cloud
  Analysis

PointViG: A Lightweight GNN-based Model for Efficient Point Cloud Analysis

1 July 2024
Qiang Zheng
Yafei Qi
Chen Wang
Chao Zhang
Jian Sun
    3DPC
ArXiv (abs)PDFHTML

Papers citing "PointViG: A Lightweight GNN-based Model for Efficient Point Cloud Analysis"

37 / 37 papers shown
Title
GTNet: Graph Transformer Network for 3D Point Cloud Classification and
  Semantic Segmentation
GTNet: Graph Transformer Network for 3D Point Cloud Classification and Semantic Segmentation
Wei Zhou
Qian Wang
Weiwei Jin
X. Shi
Yong Yu
ViT3DPC
58
5
0
24 May 2023
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis
PointWavelet: Learning in Spectral Domain for 3D Point Cloud Analysis
Cheng Wen
Jia-Li Long
B. Yu
Dacheng Tao
3DPC
114
7
0
10 Feb 2023
Learning 3D Representations from 2D Pre-trained Models via
  Image-to-Point Masked Autoencoders
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders
Renrui Zhang
Liuhui Wang
Yu Qiao
Peng Gao
Hongsheng Li
3DPC
77
133
0
13 Dec 2022
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context
  Propagation in Transformers
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers
Zhuo Huang
Zhiyou Zhao
Banghuai Li
Jungong Han
3DPCViT
71
56
0
23 Oct 2022
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud
  Pre-training
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Renrui Zhang
Ziyu Guo
Rongyao Fang
Bingyan Zhao
Dong Wang
Yu Qiao
Hongsheng Li
Peng Gao
3DPC
247
257
0
28 May 2022
One-shot Scene Graph Generation
One-shot Scene Graph Generation
Yuyu Guo
Jingkuan Song
Lianli Gao
Heng Tao Shen
61
29
0
22 Feb 2022
Fast Point Transformer
Fast Point Transformer
Chunghyun Park
Yoonwoo Jeong
Minsu Cho
Jaesik Park
3DPCViT
72
171
0
09 Dec 2021
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point
  Modeling
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
Xumin Yu
Lulu Tang
Yongming Rao
Tiejun Huang
Jie Zhou
Jiwen Lu
3DPC
134
675
0
29 Nov 2021
PointMixer: MLP-Mixer for Point Cloud Understanding
PointMixer: MLP-Mixer for Point Cloud Understanding
Jaesung Choe
Chunghyun Park
François Rameau
Jaesik Park
In So Kweon
3DPC
108
102
0
22 Nov 2021
Adaptive Graph Convolution for Point Cloud Analysis
Adaptive Graph Convolution for Point Cloud Analysis
Hao Zhou
Yidan Feng
Mingsheng Fang
Mingqiang Wei
J. Qin
Tong Lu
3DPC
75
139
0
18 Aug 2021
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on
  Point Clouds
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds
Mutian Xu
Runyu Ding
Hengshuang Zhao
Xiaojuan Qi
3DPC
103
398
0
26 Mar 2021
PCT: Point cloud transformer
PCT: Point cloud transformer
Meng-Hao Guo
Junxiong Cai
Zheng-Ning Liu
Tai-Jiang Mu
Ralph Robert Martin
Shimin Hu
ViT3DPC
143
1,616
0
17 Dec 2020
Point Transformer
Point Transformer
Nico Engel
Vasileios Belagiannis
Klaus C. J. Dietmayer
3DPC
176
1,994
0
02 Nov 2020
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature
  Modeling
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling
Wenkai Han
Chenglu Wen
Cheng-Yu Wang
Xin Li
Qing Li
3DPC
69
93
0
23 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
511
42,449
0
03 Dec 2019
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic
  Segmentation
Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation
Li Jiang
Hengshuang Zhao
Shu Liu
Xiaoyong Shen
Chi-Wing Fu
Jiaya Jia
3DPC
77
193
0
23 Sep 2019
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Huan Lei
Naveed Akhtar
Ajmal Mian
3DPC
75
167
0
20 Sep 2019
KPConv: Flexible and Deformable Convolution for Point Clouds
KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas
C. Qi
Jean-Emmanuel Deschaud
B. Marcotegui
F. Goulette
Leonidas Guibas
3DPC
169
2,536
0
18 Apr 2019
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
Relation-Shape Convolutional Neural Network for Point Cloud Analysis
Yongcheng Liu
Bin Fan
Shiming Xiang
Chunhong Pan
3DPC
101
893
0
16 Apr 2019
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling
Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling
Jiancheng Yang
Qiang Zhang
Bingbing Ni
Linguo Li
Jinxian Liu
Mengdie Zhou
Qi Tian
3DPC
90
381
0
06 Apr 2019
PointConv: Deep Convolutional Networks on 3D Point Clouds
PointConv: Deep Convolutional Networks on 3D Point Clouds
Wenxuan Wu
Zhongang Qi
Fuxin Li
3DPC
128
1,562
0
17 Nov 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
243
7,653
0
01 Oct 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV3DPC
216
771
0
30 Mar 2018
Local Spectral Graph Convolution for Point Set Feature Learning
Local Spectral Graph Convolution for Point Set Feature Learning
Chu Wang
Babak Samari
Kaleem Siddiqi
3DPCGNN
73
372
0
15 Mar 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
257
6,149
0
24 Jan 2018
PointCNN: Convolution On $\mathcal{X}$-Transformed Points
PointCNN: Convolution On X\mathcal{X}X-Transformed Points
Yangyan Li
Rui Bu
Mingchao Sun
Wei Wu
Xinhan Di
Baoquan Chen
3DPC
231
2,444
0
23 Jan 2018
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action
  Recognition
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
Sijie Yan
Yuanjun Xiong
Dahua Lin
GNN
241
4,169
0
23 Jan 2018
Pointwise Convolutional Neural Networks
Pointwise Convolutional Neural Networks
Binh-Son Hua
Minh-Khoi Tran
Sai-Kit Yeung
3DPC3DV
58
507
0
14 Dec 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
509
15,247
0
07 Jun 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
593
7,455
0
04 Apr 2017
Scene Graph Generation by Iterative Message Passing
Scene Graph Generation by Iterative Message Passing
Danfei Xu
Yuke Zhu
Chris Choy
Li Fei-Fei
GNN3DV
91
1,222
0
10 Jan 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH3DPC3DVPINN
484
14,320
0
02 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
641
29,076
0
09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
350
7,655
0
30 Jun 2016
Learning Convolutional Neural Networks for Graphs
Learning Convolutional Neural Networks for Graphs
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
GNNSSL
138
2,154
0
17 May 2016
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su
Subhransu Maji
E. Kalogerakis
Erik Learned-Miller
3DV
160
3,218
0
05 May 2015
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
220
4,876
0
21 Dec 2013
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