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Feature Graph Learning for 3D Point Cloud Denoising
v1v2 (latest)

Feature Graph Learning for 3D Point Cloud Denoising

22 July 2019
Wei Hu
Xiang Gao
Gene Cheung
Zongming Guo
ArXiv (abs)PDFHTML

Papers citing "Feature Graph Learning for 3D Point Cloud Denoising"

29 / 29 papers shown
Title
Efficient Learning of Balanced Signed Graphs via Sparse Linear Programming
Efficient Learning of Balanced Signed Graphs via Sparse Linear Programming
Haruki Yokota
Hiroshi Higashi
Yuichi Tanaka
Gene Cheung
50
0
0
02 Jun 2025
Noise2Score3D:Unsupervised Tweedie's Approach for Point Cloud Denoising
Noise2Score3D:Unsupervised Tweedie's Approach for Point Cloud Denoising
Xiangbin Wei
414
0
0
24 Feb 2025
A Radiometric Correction based Optical Modeling Approach to Removing
  Reflection Noise in TLS Point Clouds of Urban Scenes
A Radiometric Correction based Optical Modeling Approach to Removing Reflection Noise in TLS Point Clouds of Urban Scenes
Li Fang
Tianyu Li
Yanghong Lin
Shudong Zhou
Wei Yao
58
1
0
03 Jul 2024
Interpretable Lightweight Transformer via Unrolling of Learned Graph
  Smoothness Priors
Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors
Tam Thuc Do
Parham Eftekhar
Seyed Alireza Hosseini
Gene Cheung
Philip A. Chou
45
2
0
06 Jun 2024
StraightPCF: Straight Point Cloud Filtering
StraightPCF: Straight Point Cloud Filtering
Dasith de Silva Edirimuni
Xuequan Lu
Gang Li
Lei Wei
A. Robles-Kelly
Hongdong Li
3DPC
72
4
0
14 May 2024
A Lennard-Jones Layer for Distribution Normalization
A Lennard-Jones Layer for Distribution Normalization
Mulun Na
Jonathan Klein
Biao Zhang
Wojciech Palubicki
Soren Pirk
D. L. Michels
65
0
0
05 Feb 2024
Signal Processing in the Retina: Interpretable Graph Classifier to
  Predict Ganglion Cell Responses
Signal Processing in the Retina: Interpretable Graph Classifier to Predict Ganglion Cell Responses
Yasaman Parhizkar
Gene Cheung
A. Eckford
27
0
0
03 Jan 2024
Graph Sparsification for GCN Towards Optimal Crop Yield Predictions
Graph Sparsification for GCN Towards Optimal Crop Yield Predictions
Saghar Bagheri
Gene Cheung
T. Eadie
39
0
0
02 Jun 2023
NoiseTrans: Point Cloud Denoising with Transformers
NoiseTrans: Point Cloud Denoising with Transformers
Guangzhe Hou
G. Qin
Minghui Sun
Yanhua Liang
Jie Yan
Zhonghan Zhang
3DPCViT
55
2
0
24 Apr 2023
NSANet: Noise Seeking Attention Network
NSANet: Noise Seeking Attention Network
M. Jameela
Gunho Sohn
3DPC
53
1
0
26 Feb 2023
PCDNF: Revisiting Learning-based Point Cloud Denoising via Joint Normal
  Filtering
PCDNF: Revisiting Learning-based Point Cloud Denoising via Joint Normal Filtering
Zheng Liu
Ya-Ou Zhao
Sijing Zhan
Yuanyuan Liu
Renjie Chen
Ying He
3DPC
65
25
0
02 Sep 2022
MODNet: Multi-offset Point Cloud Denoising Network Customized for
  Multi-scale Patches
MODNet: Multi-offset Point Cloud Denoising Network Customized for Multi-scale Patches
Anyi Huang
Qian Xie
Zhoutao Wang
Dening Lu
Mingqiang Wei
Jun Wang
3DPC
48
11
0
30 Aug 2022
Unsupervised Graph Spectral Feature Denoising for Crop Yield Prediction
Unsupervised Graph Spectral Feature Denoising for Crop Yield Prediction
Saghar Bagheri
Chinthaka Dinesh
Gene Cheung
T. Eadie
43
1
0
04 Aug 2022
Incomplete Gamma Kernels: Generalizing Locally Optimal Projection
  Operators
Incomplete Gamma Kernels: Generalizing Locally Optimal Projection Operators
P. Stotko
Michael Weinmann
Reinhard Klein
67
0
0
02 May 2022
Dynamic Point Cloud Denoising via Gradient Fields
Dynamic Point Cloud Denoising via Gradient Fields
Q. Hu
Wei Hu
3DPCDiffM
44
2
0
19 Apr 2022
Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds
Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds
Haoran Zhou
Honghua Chen
Yingkui Zhang
Mingqiang Wei
H. Xie
Jun Wang
Tong Lu
J. Qin
Xiao-Ping Zhang
3DPC
81
41
0
23 Mar 2022
PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows
PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows
Aihua Mao
Zihui Du
Yu-Hui Wen
Jun-ying Xuan
Yang Liu
54
28
0
11 Mar 2022
Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement
Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement
Xue Zhang
Gene Cheung
Jiahao Pang
Yash Sanghvi
Abhiram Gnanasambandam
Stanley H. Chan
3DPC
54
6
0
09 Nov 2021
Deep Point Set Resampling via Gradient Fields
Deep Point Set Resampling via Gradient Fields
Haolan Chen
Bianli Du
Shitong Luo
Wei Hu
3DPC
69
38
0
03 Nov 2021
Rethinking Point Cloud Filtering: A Non-Local Position Based Approach
Rethinking Point Cloud Filtering: A Non-Local Position Based Approach
Jinxi Wang
Jincen Jiang
Xuequan Lu
Meili Wang
3DPC
76
14
0
14 Oct 2021
Score-Based Point Cloud Denoising
Score-Based Point Cloud Denoising
Shitong Luo
Wei Hu
DiffM
126
160
0
23 Jul 2021
Mask-GVAE: Blind Denoising Graphs via Partition
Mask-GVAE: Blind Denoising Graphs via Partition
Jia Li
Mengzhou Liu
Honglei Zhang
Pengyun Wang
Yong Wen
Lujia Pan
Hong Cheng
75
9
0
08 Feb 2021
Graph Signal Processing for Geometric Data and Beyond: Theory and
  Applications
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications
Wei Hu
Jiahao Pang
Xianming Liu
Dong Tian
Chia-Wen Lin
A. Vetro
96
63
0
05 Aug 2020
Differentiable Manifold Reconstruction for Point Cloud Denoising
Differentiable Manifold Reconstruction for Point Cloud Denoising
Shitong Luo
Wei Hu
3DPC
81
134
0
27 Jul 2020
Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment
Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment
Cheng Yang
Gene Cheung
Wei Hu
41
24
0
15 Jun 2020
Deep graph learning for semi-supervised classification
Deep graph learning for semi-supervised classification
Guangfeng Lin
Xiao-bing Kang
Kaiyang Liao
Fan Zhao
Yajun Chen
GNN
42
35
0
29 May 2020
Graph Metric Learning via Gershgorin Disc Alignment
Graph Metric Learning via Gershgorin Disc Alignment
Cheng Yang
Gene Cheung
Wei Hu
42
4
0
28 Jan 2020
Hypergraph Spectral Analysis and Processing in 3D Point Cloud
Hypergraph Spectral Analysis and Processing in 3D Point Cloud
Songyang Zhang
Shuguang Cui
Zhi Ding
3DPC
77
42
0
08 Jan 2020
3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning
3D Dynamic Point Cloud Denoising via Spatial-Temporal Graph Learning
Wei Hu
Q. Hu
Zehua Wang
Xiang Gao
3DPC
13
0
0
28 Apr 2019
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