ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2105.12238
  4. Cited By
AutoMate: A Dataset and Learning Approach for Automatic Mating of CAD
  Assemblies

AutoMate: A Dataset and Learning Approach for Automatic Mating of CAD Assemblies

25 May 2021
Benjamin T. Jones
Dalton Hildreth
Duowen Chen
Ilya Baran
Vladimir G. Kim
Adriana Schulz
ArXivPDFHTML

Papers citing "AutoMate: A Dataset and Learning Approach for Automatic Mating of CAD Assemblies"

26 / 26 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
58
1
0
18 Oct 2024
ShapeAssembly: Learning to Generate Programs for 3D Shape Structure
  Synthesis
ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis
R. K. Jones
Theresa Barton
Xianghao Xu
Kai Wang
Ellen Jiang
Paul Guerrero
Niloy J. Mitra
Daniel E. Ritchie
89
32
0
17 Sep 2020
COALESCE: Component Assembly by Learning to Synthesize Connections
COALESCE: Component Assembly by Learning to Synthesize Connections
K. Yin
Zhiqin Chen
S. Chaudhuri
Matthew Fisher
Vladimir G. Kim
Hao Zhang
3DPC
67
45
0
05 Aug 2020
SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in
  Computer-Aided Design
SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design
Ari Seff
Yaniv Ovadia
Wenda Zhou
Ryan P. Adams
AI4CE
3DV
31
68
0
16 Jul 2020
Generative 3D Part Assembly via Dynamic Graph Learning
Generative 3D Part Assembly via Dynamic Graph Learning
Jialei Huang
Guanqi Zhan
Qingnan Fan
Kaichun Mo
Lin Shao
Baoquan Chen
Leonidas Guibas
Hao Dong
65
83
0
14 Jun 2020
Learning 3D Part Assembly from a Single Image
Learning 3D Part Assembly from a Single Image
Yichen Li
Kaichun Mo
Lin Shao
Minhyuk Sung
Leonidas Guibas
29
68
0
21 Mar 2020
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree
  Conditions
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions
Kaichun Mo
He Wang
Xinchen Yan
Leonidas Guibas
3DPC
36
40
0
19 Mar 2020
StructEdit: Learning Structural Shape Variations
StructEdit: Learning Structural Shape Variations
Kaichun Mo
Paul Guerrero
L. Yi
Hao Su
Peter Wonka
Niloy Mitra
Leonidas Guibas
3DPC
13
43
0
25 Nov 2019
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes
Rundi Wu
Yixin Zhuang
Kai Xu
Hao Zhang
Baoquan Chen
3DPC
3DV
68
163
0
25 Nov 2019
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
StructureNet: Hierarchical Graph Networks for 3D Shape Generation
Kaichun Mo
Paul Guerrero
L. Yi
Hao Su
Peter Wonka
Niloy Mitra
Leonidas Guibas
3DPC
68
135
0
01 Aug 2019
DeepGCNs: Can GCNs Go as Deep as CNNs?
DeepGCNs: Can GCNs Go as Deep as CNNs?
Ge Li
Matthias Muller
Ali K. Thabet
Guohao Li
3DPC
GNN
91
1,333
0
07 Apr 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
117
4,289
0
06 Mar 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
247
8,441
0
03 Jan 2019
ABC: A Big CAD Model Dataset For Geometric Deep Learning
ABC: A Big CAD Model Dataset For Geometric Deep Learning
Sebastian Koch
Albert Matveev
Zhongshi Jiang
Francis Williams
Alexey Artemov
Evgeny Burnaev
M. Alexa
Denis Zorin
Daniele Panozzo
3DPC
3DV
52
452
0
15 Dec 2018
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
127
1,324
0
11 Dec 2018
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical
  Part-level 3D Object Understanding
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding
Kaichun Mo
Shilin Zhu
Angel X. Chang
L. Yi
Subarna Tripathi
Leonidas Guibas
Hao Su
3DPC
3DV
66
727
0
06 Dec 2018
Learning Material-Aware Local Descriptors for 3D Shapes
Learning Material-Aware Local Descriptors for 3D Shapes
Hubert Lin
Melinos Averkiou
E. Kalogerakis
Balazs Kovacs
Siddhant Ranade
Vladimir G. Kim
S. Chaudhuri
Kavita Bala
3DV
16
14
0
20 Oct 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
37
275
0
16 Sep 2018
SCORES: Shape Composition with Recursive Substructure Priors
SCORES: Shape Composition with Recursive Substructure Priors
Chenyang Zhu
Kai Xu
S. Chaudhuri
Renjiao Yi
Hao Zhang
3DPC
31
77
0
14 Sep 2018
SAGNet:Structure-aware Generative Network for 3D-Shape Modeling
SAGNet:Structure-aware Generative Network for 3D-Shape Modeling
Zhijie Wu
Xiang Wang
Di Lin
Dani Lischinski
Daniel Cohen-Or
Hui Huang
3DPC
38
49
0
12 Aug 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
GNN
3DPC
199
6,076
0
24 Jan 2018
ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling
ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling
Minhyuk Sung
Hao Su
Vladimir G. Kim
S. Chaudhuri
Leonidas Guibas
3DV
47
64
0
06 Aug 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
3DPC
3DV
227
11,000
0
07 Jun 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
3DH
3DPC
3DV
PINN
361
14,191
0
02 Dec 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
411
3,264
0
24 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
354
28,795
0
09 Sep 2016
1