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Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional
  Networks
v1v2 (latest)

Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks

23 July 2018
Kripasindhu Sarkar
Basavaraj Hampiholi
Kiran Varanasi
D. Stricker
    3DV
ArXiv (abs)PDFHTML

Papers citing "Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks"

16 / 16 papers shown
Title
VSFormer: Mining Correlations in Flexible View Set for Multi-view 3D
  Shape Understanding
VSFormer: Mining Correlations in Flexible View Set for Multi-view 3D Shape Understanding
Hongyu Sun
Yongcai Wang
Peng Wang
Haoran Deng
Xudong Cai
Deying Li
73
1
0
14 Sep 2024
Exploiting GPT-4 Vision for Zero-shot Point Cloud Understanding
Exploiting GPT-4 Vision for Zero-shot Point Cloud Understanding
Qi Sun
Xiao Cui
Wen-gang Zhou
Houqiang Li
3DPC
33
1
0
15 Jan 2024
ViewFormer: View Set Attention for Multi-view 3D Shape Understanding
ViewFormer: View Set Attention for Multi-view 3D Shape Understanding
Hongyu Sun
Yongcai Wang
Peng Wang
Xudong Cai
Deying Li
48
2
0
29 Apr 2023
PointCLIP: Point Cloud Understanding by CLIP
PointCLIP: Point Cloud Understanding by CLIP
Renrui Zhang
Ziyu Guo
Wei Zhang
Kunchang Li
Xupeng Miao
Tengjiao Wang
Yu Qiao
Peng Gao
Hongsheng Li
VLM3DPC
269
452
0
04 Dec 2021
DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion
DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion
Renrui Zhang
Ziyao Zeng
Ziyu Guo
Xing Gao
Kexue Fu
Jianbo Shi
3DPC
128
26
0
19 Nov 2021
Revisiting Point Cloud Shape Classification with a Simple and Effective
  Baseline
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
Ankit Goyal
Hei Law
Bowei Liu
Alejandro Newell
Jia Deng
3DPC
101
230
0
09 Jun 2021
MeshCNN Fundamentals: Geometric Learning through a Reconstructable
  Representation
MeshCNN Fundamentals: Geometric Learning through a Reconstructable Representation
Amir Barda
Yotam Erel
Amit H. Bermano
3DV
38
2
0
27 May 2021
Physics Validation of Novel Convolutional 2D Architectures for Speeding
  Up High Energy Physics Simulations
Physics Validation of Novel Convolutional 2D Architectures for Speeding Up High Energy Physics Simulations
F. Rehm
S. Vallecorsa
Kerstin Borras
D. Krücker
AI4CE
35
8
0
19 May 2021
Multiscale Mesh Deformation Component Analysis with Attention-based
  Autoencoders
Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders
Jie Yang
Lin Gao
Qingyang Tan
Yihua Huang
Shi-hong Xia
Yu-kun Lai
60
13
0
04 Dec 2020
MeshWalker: Deep Mesh Understanding by Random Walks
MeshWalker: Deep Mesh Understanding by Random Walks
Alon Lahav
A. Tal
3DV
120
82
0
09 Jun 2020
Efficient Learning on Point Clouds with Basis Point Sets
Efficient Learning on Point Clouds with Basis Point Sets
Sergey Prokudin
Christoph Lassner
Javier Romero
3DPC
67
120
0
24 Aug 2019
Multiview Aggregation for Learning Category-Specific Shape
  Reconstruction
Multiview Aggregation for Learning Category-Specific Shape Reconstruction
Srinath Sridhar
Davis Rempe
Julien P. C. Valentin
Sofien Bouaziz
Leonidas Guibas
3DV
76
33
0
01 Jul 2019
3D Object Recognition with Ensemble Learning --- A Study of Point
  Cloud-Based Deep Learning Models
3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning Models
Daniel Koguciuk
L. Chechlinski
Tarek El-Gaaly
3DPC
48
10
0
17 Apr 2019
Structured 2D Representation of 3D Data for Shape Processing
Kripasindhu Sarkar
Elizabeth Mathews
D. Stricker
3DV
31
1
0
25 Mar 2019
A Sketch Based 3D Shape Retrieval Approach Based on Efficient Deep Point-to-Subspace Metric Learning
Yinjie Lei
Ziqin Zhou
Pingping Zhang
Yulan Guo
Zijun Ma
Lingqiao Liu
3DPC3DV
29
1
0
01 Mar 2019
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
82
279
0
16 Sep 2018
1