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. 1907.12704
  4. Cited By
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point
  Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half
  Prediction

Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction

30 July 2019
Zhizhong Han
Xiyang Wang
Yu-Shen Liu
Matthias Zwicker
    3DPC
ArXivPDFHTML

Papers citing "Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction"

27 / 27 papers shown
Title
PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step
  Point Moving Paths
PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step Point Moving Paths
Xin Wen
Peng Xiang
Zhizhong Han
Yaru Cao
Pengfei Wan
Wen Zheng
Yu-Shen Liu
3DPC
67
122
0
19 Feb 2022
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting
  1D Occupancy Segments From 2D Coordinates
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates
Zhizhong Han
Guanhui Qiao
Yu-Shen Liu
Matthias Zwicker
3DPC
3DV
92
32
0
12 Mar 2020
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts
  in Multiple Views
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views
Zhizhong Han
Xinhai Liu
Yu-Shen Liu
Matthias Zwicker
3DPC
105
40
0
18 May 2019
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of
  Unordered Views with Attention
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention
Zhizhong Han
Xiyang Wang
Chi-Man Vong
Yu-Shen Liu
Matthias Zwicker
C. L. P. Chen
3DPC
41
39
0
17 May 2019
NeuralSampler: Euclidean Point Cloud Auto-Encoder and Sampler
NeuralSampler: Euclidean Point Cloud Auto-Encoder and Sampler
Edoardo Remelli
Pierre Baqué
Pascal Fua
3DPC
39
15
0
27 Jan 2019
PointWise: An Unsupervised Point-wise Feature Learning Network
PointWise: An Unsupervised Point-wise Feature Learning Network
Matan Shoef
Sharon Fogel
Daniel Cohen-Or
3DPC
38
10
0
14 Jan 2019
3D Point Capsule Networks
3D Point Capsule Networks
Yongheng Zhao
Tolga Birdal
Haowen Deng
Federico Tombari
3DPC
54
337
0
27 Dec 2018
Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by
  Joint Reconstruction and Prediction of View and Word Sequences
Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences
Simon Denman
Mingyang Shang
Sabesan Sivapalan
Yu-Shen Liu
Matthias Zwicker
3DV
47
54
0
07 Nov 2018
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D
  Shapes by Learning Global Shape Memories to Support Local View Predictions
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions
Zhizhong Han
Mingyang Shang
Yu-Shen Liu
Matthias Zwicker
SSL
3DV
GAN
48
134
0
07 Nov 2018
Point2Sequence: Learning the Shape Representation of 3D Point Clouds
  with an Attention-based Sequence to Sequence Network
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network
Xinhai Liu
Mohamed Morchid
Yu-Shen Liu
Matthias Zwicker
3DPC
56
320
0
06 Nov 2018
Point Cloud GAN
Point Cloud GAN
Chun-Liang Li
Manzil Zaheer
Yang Zhang
Barnabás Póczós
Ruslan Salakhutdinov
3DPC
76
211
0
13 Oct 2018
PointGrow: Autoregressively Learned Point Cloud Generation with
  Self-Attention
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention
Yongbin Sun
Yue Wang
Ziwei Liu
J. Siegel
Sanjay E. Sarma
3DPC
59
195
0
12 Oct 2018
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local
  Descriptors
PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors
Haowen Deng
Tolga Birdal
Slobodan Ilic
3DPC
86
389
0
30 Aug 2018
PCN: Point Completion Network
PCN: Point Completion Network
Wentao Yuan
Tejas Khot
David Held
Christoph Mertz
M. Hebert
3DPC
3DV
74
819
0
02 Aug 2018
Multiresolution Tree Networks for 3D Point Cloud Processing
Multiresolution Tree Networks for 3D Point Cloud Processing
Matheus Gadelha
Rui Wang
Subhransu Maji
3DV
3DPC
70
255
0
10 Jul 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
3DV
3DPC
208
770
0
30 Mar 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis
SO-Net: Self-Organizing Network for Point Cloud Analysis
Jiaxin Li
Ben M. Chen
Gim Hee Lee
3DPC
68
937
0
12 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
GNN
3DPC
255
6,132
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
228
2,436
0
23 Jan 2018
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
327
11,062
0
07 Jun 2017
A Point Set Generation Network for 3D Object Reconstruction from a
  Single Image
A Point Set Generation Network for 3D Object Reconstruction from a Single Image
Haoqiang Fan
Hao Su
Leonidas Guibas
3DPC
3DV
157
2,235
0
02 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
3DH
3DPC
3DV
PINN
458
14,264
0
02 Dec 2016
Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis
Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis
Angela Dai
C. Qi
Matthias Nießner
3DV
3DPC
76
606
0
01 Dec 2016
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
298
1,952
0
24 Oct 2016
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels
VConv-DAE: Deep Volumetric Shape Learning Without Object Labels
Abhishek Sharma
O. Grau
Mario Fritz
3DPC
61
278
0
13 Apr 2016
Learning a Predictable and Generative Vector Representation for Objects
Learning a Predictable and Generative Vector Representation for Objects
Rohit Girdhar
David Fouhey
Mikel D. Rodriguez
Abhinav Gupta
3DV
74
708
0
29 Mar 2016
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
426
16,944
0
20 Dec 2013
1