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Dynamic Point Cloud Denoising via Gradient Fields

Dynamic Point Cloud Denoising via Gradient Fields

19 April 2022
Q. Hu
Wei Hu
    3DPCDiffM
ArXiv (abs)PDFHTML

Papers citing "Dynamic Point Cloud Denoising via Gradient Fields"

25 / 25 papers shown
Title
IterativePFN: True Iterative Point Cloud Filtering
IterativePFN: True Iterative Point Cloud Filtering
Dasith de Silva Edirimuni
Xuequan Lu
Zhiwen Shao
Gang Li
A. Robles-Kelly
Ying He
3DPC
69
30
0
04 Apr 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
51
23
0
02 Sep 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
Deep Point Set Resampling via Gradient Fields
Deep Point Set Resampling via Gradient Fields
Haolan Chen
Bianli Du
Shitong Luo
Wei Hu
3DPC
65
38
0
03 Nov 2021
Score-Based Point Cloud Denoising
Score-Based Point Cloud Denoising
Shitong Luo
Wei Hu
DiffM
107
159
0
23 Jul 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
79
63
0
05 Aug 2020
Differentiable Manifold Reconstruction for Point Cloud Denoising
Differentiable Manifold Reconstruction for Point Cloud Denoising
Shitong Luo
Wei Hu
3DPC
71
133
0
27 Jul 2020
Accelerating 3D Deep Learning with PyTorch3D
Accelerating 3D Deep Learning with PyTorch3D
Nikhila Ravi
Jeremy Reizenstein
David Novotny
Taylor Gordon
Wan-Yen Lo
Justin Johnson
Georgia Gkioxari
3DPC
140
924
0
16 Jul 2020
Learning Graph-Convolutional Representations for Point Cloud Denoising
Learning Graph-Convolutional Representations for Point Cloud Denoising
Francesca Pistilli
Giulia Fracastoro
D. Valsesia
E. Magli
3DPC
136
76
0
06 Jul 2020
Deep Feature-preserving Normal Estimation for Point Cloud Filtering
Deep Feature-preserving Normal Estimation for Point Cloud Filtering
Dening Lu
Xuequan Lu
Yangxing Sun
Jun Wang
3DPC
52
92
0
24 Apr 2020
Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling
Pointfilter: Point Cloud Filtering via Encoder-Decoder Modeling
Dongbo Zhang
Xuequan Lu
Hong Qin
Ying He
3DPC
56
117
0
14 Feb 2020
DensePoint: Learning Densely Contextual Representation for Efficient
  Point Cloud Processing
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
Yongcheng Liu
Bin Fan
Gaofeng Meng
Jiwen Lu
Shiming Xiang
Chunhong Pan
3DPC
182
272
0
09 Sep 2019
Feature Graph Learning for 3D Point Cloud Denoising
Feature Graph Learning for 3D Point Cloud Denoising
Wei Hu
Xiang Gao
Gene Cheung
Zongming Guo
71
89
0
22 Jul 2019
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDaDiffM
260
3,962
0
12 Jul 2019
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning
Pedro Hermosilla
Tobias Ritschel
Timo Ropinski
3DPC
61
127
0
16 Apr 2019
3D Point Cloud Denoising via Deep Neural Network based Local Surface
  Estimation
3D Point Cloud Denoising via Deep Neural Network based Local Surface Estimation
Chaojing Duan
Siheng Chen
J. Kovacevic
3DPC
70
64
0
09 Apr 2019
PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point
  Clouds
PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds
Marie-Julie Rakotosaona
Vittorio La Barbera
Paul Guerrero
Niloy J. Mitra
M. Ovsjanikov
3DPC
90
302
0
04 Jan 2019
3D Point Cloud Denoising using Graph Laplacian Regularization of a Low
  Dimensional Manifold Model
3D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Model
Jin Zeng
Gene Cheung
Michael Kwok-Po Ng
Jiahao Pang
Cheng Yang
3DV
76
155
0
20 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
GNN3DPC
260
6,177
0
24 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
3DPC3DV
369
11,164
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
3DPC3DV
176
2,242
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
3DH3DPC3DVPINN
500
14,384
0
02 Dec 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
855
36,910
0
25 Aug 2016
Graph-based denoising for time-varying point clouds
Graph-based denoising for time-varying point clouds
Y. Schoenenberger
Johan Paratte
P. Vandergheynst
3DPC
61
59
0
16 Nov 2015
Analysis of Farthest Point Sampling for Approximating Geodesics in a
  Graph
Analysis of Farthest Point Sampling for Approximating Geodesics in a Graph
Pegah Kamousi
S. Lazard
A. Maheshwari
Stefanie Wuhrer
OT
62
26
0
19 Nov 2013
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