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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"

18 / 18 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
41
0
0
27 Apr 2025
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud
  Learning
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning
Dingkang Liang
Tianrui Feng
Xin Zhou
Yumeng Zhang
Zhikang Zou
Xiang Bai
31
5
0
10 Oct 2024
Flatten Anything: Unsupervised Neural Surface Parameterization
Flatten Anything: Unsupervised Neural Surface Parameterization
Qijian Zhang
Junhui Hou
Wenping Wang
Ying He
16
3
0
23 May 2024
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
44
2
0
15 May 2024
ParaPoint: Learning Global Free-Boundary Surface Parameterization of 3D
  Point Clouds
ParaPoint: Learning Global Free-Boundary Surface Parameterization of 3D Point Clouds
Qijian Zhang
Junhui Hou
Ying He
3DPC
18
0
0
15 Mar 2024
Dynamic 3D Point Cloud Sequences as 2D Videos
Dynamic 3D Point Cloud Sequences as 2D Videos
Yiming Zeng
Junhui Hou
Qijian Zhang
Siyu Ren
Wenping Wang
3DPC
49
1
0
02 Mar 2024
An Embeddable Implicit IUVD Representation for Part-based 3D Human
  Surface Reconstruction
An Embeddable Implicit IUVD Representation for Part-based 3D Human Surface Reconstruction
Baoxing Li
Yong Deng
Yehui Yang
Xu Zhao
3DH
27
2
0
30 Jan 2024
Annotator: A Generic Active Learning Baseline for LiDAR Semantic
  Segmentation
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
Binhui Xie
Shuang Li
Qingju Guo
Chi Harold Liu
Xinjing Cheng
VLM
32
8
0
31 Oct 2023
Parameterization-driven Neural Surface Reconstruction for
  Object-oriented Editing in Neural Rendering
Parameterization-driven Neural Surface Reconstruction for Object-oriented Editing in Neural Rendering
Baixin Xu
Jiangbei Hu
Fei Hou
Kwan-Yee Lin
Wayne Wu
Chen Qian
Ying He
3DH
23
2
0
09 Oct 2023
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
Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey
Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey
Ben Fei
Weidong Yang
Liwen Liu
Tian-jian Luo
Rui Zhang
Yixuan Li
Ying He
3DPC
29
17
0
08 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
38
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
152
769
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
14,103
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
10,220
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
285
36,371
0
25 Aug 2016
1