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MeshWalker: Deep Mesh Understanding by Random Walks
v1v2v3 (latest)

MeshWalker: Deep Mesh Understanding by Random Walks

9 June 2020
Alon Lahav
A. Tal
    3DV
ArXiv (abs)PDFHTML

Papers citing "MeshWalker: Deep Mesh Understanding by Random Walks"

50 / 57 papers shown
Title
A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts
A Survey on Computational Solutions for Reconstructing Complete Objects by Reassembling Their Fractured Parts
Jiaxin Lu
Yongqing Liang
Huijun Han
Jiacheng Hua
Junfeng Jiang
Xin Li
Qixing Huang
3DV
137
3
0
18 Oct 2024
Self-Parameterization Based Multi-Resolution Mesh Convolution Networks
Self-Parameterization Based Multi-Resolution Mesh Convolution Networks
Shi Hezi
Jiang Luo
Zheng Jianmin
Zeng Jun
AI4CE
64
1
0
25 Aug 2024
ClothCombo: Modeling Inter-Cloth Interaction for Draping Multi-Layered
  Clothes
ClothCombo: Modeling Inter-Cloth Interaction for Draping Multi-Layered Clothes
Dohae Lee
Hyun Kang
In-Kwon Lee
3DHAI4CE
83
8
0
07 Apr 2023
Long Range Pooling for 3D Large-Scale Scene Understanding
Long Range Pooling for 3D Large-Scale Scene Understanding
Xiang-Li Li
Meng-Hao Guo
Tai-Jiang Mu
Ralph Robert Martin
Shiyong Hu
3DV3DPC
66
2
0
17 Jan 2023
Neural Shape Compiler: A Unified Framework for Transforming between
  Text, Point Cloud, and Program
Neural Shape Compiler: A Unified Framework for Transforming between Text, Point Cloud, and Program
Tiange Luo
Honglak Lee
Justin Johnson
90
5
0
25 Dec 2022
3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions
3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions
Dale Decatur
Itai Lang
Rana Hanocka
66
26
0
21 Dec 2022
DA Wand: Distortion-Aware Selection using Neural Mesh Parameterization
DA Wand: Distortion-Aware Selection using Neural Mesh Parameterization
Richard Liu
Noam Aigerman
Vladimir G. Kim
Rana Hanocka
78
4
0
13 Dec 2022
Be Careful with Rotation: A Uniform Backdoor Pattern for 3D Shape
Be Careful with Rotation: A Uniform Backdoor Pattern for 3D Shape
Linkun Fan
Fazhi He
Qingchen Guo
Wei Tang
Xiaolin Hong
Bing Li
AAML3DPC
84
9
0
28 Nov 2022
Interpolated SelectionConv for Spherical Images and Surfaces
Interpolated SelectionConv for Spherical Images and Surfaces
David Hart
Michael Whitney
B. Morse
3DH
71
2
0
18 Oct 2022
Random Walks for Adversarial Meshes
Random Walks for Adversarial Meshes
Amir Belder
Gal Yefet
Ran Ben Izhak
A. Tal
AAML
76
2
0
15 Feb 2022
Möbius Convolutions for Spherical CNNs
Möbius Convolutions for Spherical CNNs
Thomas W. Mitchel
Noam Aigerman
Vladimir G. Kim
Michael Kazhdan
83
11
0
28 Jan 2022
PolyNet: Polynomial Neural Network for 3D Shape Recognition with
  PolyShape Representation
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation
Mohsen Yavartanoo
Shih-Hsuan Hung
Reyhaneh Neshatavar
Yue Zhang
Kyoung Mu Lee
79
17
0
15 Oct 2021
BuildingNet: Learning to Label 3D Buildings
BuildingNet: Learning to Label 3D Buildings
Pratheba Selvaraju
Mohamed Nabail
Marios Loizou
Maria I. Maslioukova
Melinos Averkiou
Andreas C. Andreou
S. Chaudhuri
E. Kalogerakis
3DV3DPCAI4CE
73
40
0
11 Oct 2021
Subdivision-Based Mesh Convolution Networks
Subdivision-Based Mesh Convolution Networks
Shimin Hu
Zheng-Ning Liu
Meng-Hao Guo
Junxiong Cai
Jiahui Huang
Tai-Jiang Mu
Ralph Robert Martin
3DV
61
125
0
04 Jun 2021
Field Convolutions for Surface CNNs
Field Convolutions for Surface CNNs
Thomas W. Mitchel
Vladimir G. Kim
Michael Kazhdan
74
19
0
08 Apr 2021
DiffusionNet: Discretization Agnostic Learning on Surfaces
DiffusionNet: Discretization Agnostic Learning on Surfaces
Nicholas Sharp
Souhaib Attaiki
Keenan Crane
M. Ovsjanikov
3DH
99
211
0
01 Dec 2020
Continuous Geodesic Convolutions for Learning on 3D Shapes
Continuous Geodesic Convolutions for Learning on 3D Shapes
Zhangsihao Yang
Or Litany
Tolga Birdal
Srinath Sridhar
Leonidas Guibas
3DH3DPC3DV
67
30
0
06 Feb 2020
Geometry Sharing Network for 3D Point Cloud Classification and
  Segmentation
Geometry Sharing Network for 3D Point Cloud Classification and Segmentation
Mingye Xu
Zhipeng Zhou
Yu Qiao
3DPC
73
93
0
23 Dec 2019
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
Shunwang Gong
Lei Chen
M. Bronstein
Stefanos Zafeiriou
3DH
136
148
0
13 Nov 2019
Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition
Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition
Chu Wang
Marcello Pelillo
Kaleem Siddiqi
3DV3DPC
89
183
0
04 Jun 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
175
2,560
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
125
896
0
16 Apr 2019
Surface Networks via General Covers
Surface Networks via General Covers
Niv Haim
Nimrod Segol
Heli Ben-Hamu
Haggai Maron
Y. Lipman
3DPC
99
50
0
27 Dec 2018
MeshNet: Mesh Neural Network for 3D Shape Representation
MeshNet: Mesh Neural Network for 3D Shape Representation
Yutong Feng
Yifan Feng
Haoxuan You
Xibin Zhao
Yue Gao
3DV3DH
92
309
0
28 Nov 2018
Deep Geometric Prior for Surface Reconstruction
Deep Geometric Prior for Surface Reconstruction
Francis Williams
T. Schneider
Claudio Silva
Denis Zorin
Joan Bruna
Daniele Panozzo
3DPC
130
191
0
27 Nov 2018
SPNet: Deep 3D Object Classification and Retrieval using Stereographic
  Projection
SPNet: Deep 3D Object Classification and Retrieval using Stereographic Projection
Mohsen Yavartanoo
Euyoung Kim
Kyoung Mu Lee
3DPC
67
74
0
05 Nov 2018
Multi-directional Geodesic Neural Networks via Equivariant Convolution
Multi-directional Geodesic Neural Networks via Equivariant Convolution
A. Poulenard
M. Ovsjanikov
3DH
60
91
0
01 Oct 2018
A Simple Approach to Intrinsic Correspondence Learning on Unstructured
  3D Meshes
A Simple Approach to Intrinsic Correspondence Learning on Unstructured 3D Meshes
I. Lim
A.C.A. Dielen
M. Campen
Leif Kobbelt
88
95
0
18 Sep 2018
MeshCNN: A Network with an Edge
MeshCNN: A Network with an Edge
Rana Hanocka
Amir Hertz
N. Fish
Raja Giryes
S. Fleishman
Daniel Cohen-Or
85
279
0
16 Sep 2018
Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional
  Networks
Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks
Kripasindhu Sarkar
Basavaraj Hampiholi
Kiran Varanasi
D. Stricker
3DV
73
33
0
23 Jul 2018
ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning
ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning
Rana Hanocka
N. Fish
Zhenhua Wang
Raja Giryes
S. Fleishman
Daniel Cohen-Or
3DPC
72
73
0
23 Apr 2018
Classification of Point Cloud Scenes with Multiscale Voxel Deep Network
Classification of Point Cloud Scenes with Multiscale Voxel Deep Network
Xavier Roynard
Jean-Emmanuel Deschaud
F. Goulette
3DPC3DV
88
80
0
10 Apr 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
231
776
0
30 Mar 2018
Point Convolutional Neural Networks by Extension Operators
Point Convolutional Neural Networks by Extension Operators
Matan Atzmon
Haggai Maron
Y. Lipman
3DPC
63
539
0
27 Mar 2018
Triplet-Center Loss for Multi-View 3D Object Retrieval
Triplet-Center Loss for Multi-View 3D Object Retrieval
Xinwei He
Yang Zhou
Zhichao Zhou
S. Bai
X. Bai
3DPC
83
331
0
16 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
315
6,204
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
260
2,461
0
23 Jan 2018
Pointwise Convolutional Neural Networks
Pointwise Convolutional Neural Networks
Binh-Son Hua
Minh-Khoi Tran
Sai-Kit Yeung
3DPC3DV
80
509
0
14 Dec 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
645
20,353
0
30 Oct 2017
SEGCloud: Semantic Segmentation of 3D Point Clouds
SEGCloud: Semantic Segmentation of 3D Point Clouds
Lyne P. Tchapmi
Chris Choy
Iro Armeni
JunYoung Gwak
Silvio Savarese
3DPC
101
758
0
20 Oct 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric
  Space
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. Qi
L. Yi
Hao Su
Leonidas Guibas
3DPC3DV
468
11,199
0
07 Jun 2017
3D Shape Segmentation with Projective Convolutional Networks
3D Shape Segmentation with Projective Convolutional Networks
E. Kalogerakis
Melinos Averkiou
Subhransu Maji
S. Chaudhuri
3DV3DPC
106
366
0
08 Dec 2016
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
564
14,408
0
02 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
770
29,279
0
09 Sep 2016
Generative and Discriminative Voxel Modeling with Convolutional Neural
  Networks
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
96
585
0
15 Aug 2016
Instance Normalization: The Missing Ingredient for Fast Stylization
Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
OOD
243
3,717
0
27 Jul 2016
Pairwise Decomposition of Image Sequences for Active Multi-View
  Recognition
Pairwise Decomposition of Image Sequences for Active Multi-View Recognition
Edward Johns
Stefan Leutenegger
Andrew J. Davison
75
227
0
26 May 2016
Learning shape correspondence with anisotropic convolutional neural
  networks
Learning shape correspondence with anisotropic convolutional neural networks
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
M. Bronstein
3DPC
213
511
0
20 May 2016
Orientation-boosted Voxel Nets for 3D Object Recognition
Orientation-boosted Voxel Nets for 3D Object Recognition
Nima Sedaghat
Mohammadreza Zolfaghari
Ehsan Amiri
Thomas Brox
3DPC
113
224
0
12 Apr 2016
Volumetric and Multi-View CNNs for Object Classification on 3D Data
Volumetric and Multi-View CNNs for Object Classification on 3D Data
C. Qi
Hao Su
Matthias Niessner
Angela Dai
Mengyuan Yan
Leonidas Guibas
3DPC3DV
256
1,567
0
12 Apr 2016
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