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Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud
  Analysis

Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis

17 December 2022
Qijian Zhang
Junhui Hou
Y. Qian
Yiming Zeng
Juyong Zhang
Ying He
    3DPC
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Papers citing "Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis"

10 / 10 papers shown
Title
FlexPara: Flexible Neural Surface Parameterization
FlexPara: Flexible Neural Surface Parameterization
Yuming Zhao
Qijian Zhang
Junhui Hou
Jiazhi Xia
Wenping Wang
Ying He
AI4CE
36
0
0
27 Apr 2025
Progressive Depth Decoupling and Modulating for Flexible Depth
  Completion
Progressive Depth Decoupling and Modulating for Flexible Depth Completion
Zhiwen Yang
Jiehua Zhang
Liang-Sheng Li
Chenggang Yan
Yaoqi Sun
Haibing Yin
38
2
0
15 May 2024
Transcending Grids: Point Clouds and Surface Representations Powering
  Neurological Processing
Transcending Grids: Point Clouds and Surface Representations Powering Neurological Processing
Kishore Babu Nampalle
Pradeep Singh
Vivek Narayan Uppala
Sumit Gangwar
Raj S Negi
Balasubramanian Raman
21
1
0
17 May 2023
Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion
Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion
Lintai Wu
Qijian Zhang
Junhui Hou
Yong-mei Xu
3DPC
32
7
0
01 Dec 2022
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
150
768
0
30 Mar 2018
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 J. Guibas
3DH
3DPC
3DV
PINN
222
14,099
0
02 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 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
171
1,940
0
24 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
255
36,362
0
25 Aug 2016
1