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3D Point Cloud Generative Adversarial Network Based on Tree Structured
  Graph Convolutions

3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions

15 May 2019
Dong Wook Shu
Sung Woo Park
Junseok Kwon
    3DPC
ArXivPDFHTML

Papers citing "3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions"

12 / 62 papers shown
Title
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
116
0
16 Dec 2020
Neural Unsigned Distance Fields for Implicit Function Learning
Neural Unsigned Distance Fields for Implicit Function Learning
Julian Chibane
Aymen Mir
Gerard Pons-Moll
25
320
0
26 Oct 2020
Representing Point Clouds with Generative Conditional Invertible Flow
  Networks
Representing Point Clouds with Generative Conditional Invertible Flow Networks
Michal Stypulkowski
Kacper Kania
M. Zamorski
Maciej Ziȩba
Tomasz Trzciñski
J. Chorowski
3DPC
24
4
0
07 Oct 2020
Deep Learning for 3D Point Cloud Understanding: A Survey
Deep Learning for 3D Point Cloud Understanding: A Survey
Haoming Lu
Humphrey Shi
3DPC
13
32
0
18 Sep 2020
LPMNet: Latent Part Modification and Generation for 3D Point Clouds
LPMNet: Latent Part Modification and Generation for 3D Point Clouds
Cihan Ongun
A. Temi̇zel
3DPC
24
10
0
08 Aug 2020
MRGAN: Multi-Rooted 3D Shape Generation with Unsupervised Part
  Disentanglement
MRGAN: Multi-Rooted 3D Shape Generation with Unsupervised Part Disentanglement
Rinon Gal
Amit H. Bermano
Hao Zhang
Daniel Cohen-Or
3DPC
16
18
0
25 Jul 2020
Progressive Point Cloud Deconvolution Generation Network
Progressive Point Cloud Deconvolution Generation Network
Le Hui
Rui Xu
Jin Xie
J. Qian
Jian Yang
3DPC
27
72
0
10 Jul 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and
  Training
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar
Xi Li
Bourahla Omar
25
266
0
09 Jun 2020
LIMP: Learning Latent Shape Representations with Metric Preservation
  Priors
LIMP: Learning Latent Shape Representations with Metric Preservation Priors
Luca Cosmo
Antonio Norelli
Oshri Halimi
Ron Kimmel
Emanuele Rodolà
34
73
0
27 Mar 2020
Implicit Functions in Feature Space for 3D Shape Reconstruction and
  Completion
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
Julian Chibane
Thiemo Alldieck
Gerard Pons-Moll
3DPC
45
492
0
03 Mar 2020
VITAL: VIsual Tracking via Adversarial Learning
VITAL: VIsual Tracking via Adversarial Learning
Yibing Song
Chao Ma
Xiaohe Wu
Lijun Gong
Linchao Bao
W. Zuo
Chunhua Shen
Rynson W. H. Lau
Ming-Hsuan Yang
GAN
AAML
74
501
0
12 Apr 2018
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
180
1,941
0
24 Oct 2016
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