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PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling

PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling

24 February 2020
Y. Qian
Junhui Hou
Sam Kwong
Ying He
    3DPC
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Papers citing "PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling"

50 / 59 papers shown
Title
Non-uniform Point Cloud Upsampling via Local Manifold Distribution
Non-uniform Point Cloud Upsampling via Local Manifold Distribution
Yaohui Fang
Xingce Wang
3DPC
57
0
0
16 Apr 2025
3D Point Cloud Generation via Autoregressive Up-sampling
Ziqiao Meng
Qichao Wang
Zhipeng Zhou
Irwin King
Peilin Zhao
3DPC
61
0
0
11 Mar 2025
Efficient Point Clouds Upsampling via Flow Matching
Z. Liu
Chenhang He
Lei Li
40
1
0
28 Jan 2025
Point Cloud Resampling with Learnable Heat Diffusion
Point Cloud Resampling with Learnable Heat Diffusion
Wenqiang Xu
Wenrui Dai
Duoduo Xue
Ziyang Zheng
Chenglin Li
Junni Zou
Hongkai Xiong
72
0
0
21 Nov 2024
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point
  Cloud Upsampling
PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling
Donghyun Kim
H. Kwon
Yumin Kim
Seong Jae Hwang
3DPC
40
1
0
01 Nov 2024
Deep Learning for 3D Point Cloud Enhancement: A Survey
Deep Learning for 3D Point Cloud Enhancement: A Survey
Siwen Quan
Junhao Yu
Ziming Nie
Muze Wang
Sijia Feng
Pei An
Jiaqi Yang
3DPC
42
3
0
30 Oct 2024
Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs
Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs
Jihe Li
Bo Pang
Peng-Shuai Wang
3DPC
24
1
0
22 Oct 2024
MBPU: A Plug-and-Play State Space Model for Point Cloud Upsamping with
  Fast Point Rendering
MBPU: A Plug-and-Play State Space Model for Point Cloud Upsamping with Fast Point Rendering
Jiayi Song
Weidong Yang
Zhijun Li
Wen-Ming Chen
Ben Fei
3DPC
23
1
0
21 Oct 2024
HashPoint: Accelerated Point Searching and Sampling for Neural Rendering
HashPoint: Accelerated Point Searching and Sampling for Neural Rendering
Jiahao Ma
Miaomiao Liu
David Ahmedt-Aristizabal
Chuong H. Nguyen
25
0
0
22 Apr 2024
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with
  Latent Geometric-Consistent Learning
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning
Hang Du
Xuejun Yan
Jingjing Wang
Di Xie
Shiliang Pu
3DPC
32
5
0
08 Mar 2024
PillarGen: Enhancing Radar Point Cloud Density and Quality via
  Pillar-based Point Generation Network
PillarGen: Enhancing Radar Point Cloud Density and Quality via Pillar-based Point Generation Network
Ji Song Kim
Geonho Bang
Kwangjin Choi
Minjae Seong
Jaechang Yoo
Eunjong Pyo
Jun Won Choi
24
1
0
04 Mar 2024
Learning Continuous Implicit Field with Local Distance Indicator for
  Arbitrary-Scale Point Cloud Upsampling
Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling
Shujuan Li
Junsheng Zhou
Baorui Ma
Yu-Shen Liu
Zhizhong Han
21
22
0
23 Dec 2023
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud
  Upsampling
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling
Wentao Qu
Yuantian Shao
Lingwu Meng
Xiaoshui Huang
Liang Xiao
22
10
0
03 Dec 2023
Human as Points: Explicit Point-based 3D Human Reconstruction from Single-view RGB Images
Human as Points: Explicit Point-based 3D Human Reconstruction from Single-view RGB Images
Yingzhi Tang
Qijian Zhang
Junhui Hou
Yebin Liu
3DPC
3DH
93
2
0
06 Nov 2023
iPUNet:Iterative Cross Field Guided Point Cloud Upsampling
iPUNet:Iterative Cross Field Guided Point Cloud Upsampling
Guangshun Wei
Hao Pan
Shaojie Zhuang
Yuanfeng Zhou
Changjian Li
3DPC
21
5
0
13 Oct 2023
PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on
  Neural Implicit Surface
PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit Surface
Sangwon Lim
Karim El-Basyouny
Yee-Hong Yang
3DPC
19
3
0
12 Oct 2023
Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning
Test-Time Adaptation for Point Cloud Upsampling Using Meta-Learning
A. Hatem
Yiming Qian
Yang Wang
3DPC
76
9
0
31 Aug 2023
Arbitrary point cloud upsampling via Dual Back-Projection Network
Arbitrary point cloud upsampling via Dual Back-Projection Network
Zhisong Liu
Zijia Wang
Zhen Jia
3DPC
13
4
0
18 Jul 2023
4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional
  Networks
4DSR-GCN: 4D Video Point Cloud Upsampling using Graph Convolutional Networks
Lorenzo Berlincioni
Stefano Berretti
Marco Bertini
A. Bimbo
3DPC
12
1
0
01 Jun 2023
Unleash the Potential of 3D Point Cloud Modeling with A Calibrated Local
  Geometry-driven Distance Metric
Unleash the Potential of 3D Point Cloud Modeling with A Calibrated Local Geometry-driven Distance Metric
Siyu Ren
Junhui Hou
18
2
0
01 Jun 2023
Near-realtime Facial Animation by Deep 3D Simulation Super-Resolution
Near-realtime Facial Animation by Deep 3D Simulation Super-Resolution
Hyojoon Park
Sangeetha Grama Srinivasan
Matthew Cong
Doyub Kim
Byungsoo Kim
Jonathan Swartz
Ken Museth
Eftychios Sifakis
3DH
23
2
0
05 May 2023
PU-EdgeFormer: Edge Transformer for Dense Prediction in Point Cloud
  Upsampling
PU-EdgeFormer: Edge Transformer for Dense Prediction in Point Cloud Upsampling
Dohoon Kim
Minwoo Shin
J. Paik
3DPC
ViT
19
2
0
02 May 2023
Pointersect: Neural Rendering with Cloud-Ray Intersection
Pointersect: Neural Rendering with Cloud-Ray Intersection
Jen-Hao Rick Chang
Wei-Yu Chen
Anurag Ranjan
K. M. Yi
Oncel Tuzel
3DPC
25
18
0
24 Apr 2023
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent
  with Learned Distance Functions
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions
Yun He
Danhang Tang
Yinda Zhang
Xiangyang Xue
Yanwei Fu
3DPC
23
48
0
24 Apr 2023
Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud
  Normal Estimation
Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation
Hang Du
Xuejun Yan
Jingjing Wang
Di Xie
Shiliang Pu
3DPC
22
15
0
30 Mar 2023
CheckerPose: Progressive Dense Keypoint Localization for Object Pose
  Estimation with Graph Neural Network
CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network
Ruyi Lian
Haibin Ling
3DH
3DPC
15
12
0
29 Mar 2023
Parametric Surface Constrained Upsampler Network for Point Cloud
Parametric Surface Constrained Upsampler Network for Point Cloud
Pingping Cai
Zhenyao Wu
Xinyi Wu
Song Wang
3DPC
30
5
0
14 Mar 2023
Joint Geometry and Attribute Upsampling of Point Clouds Using
  Frequency-Selective Models with Overlapped Support
Joint Geometry and Attribute Upsampling of Point Clouds Using Frequency-Selective Models with Overlapped Support
Viktoria Heimann
Andreas Spruck
Andre Kaup
24
1
0
27 Jan 2023
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud
  Analysis
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud Analysis
Qijian Zhang
Junhui Hou
Y. Qian
Yiming Zeng
Juyong Zhang
Ying He
3DPC
32
24
0
17 Dec 2022
GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided
  Distance Representation
GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance Representation
Siyu Ren
Junhui Hou
Xiaodong Chen
Ying He
Wenping Wang
18
27
0
30 Nov 2022
Point Cloud Upsampling via Cascaded Refinement Network
Point Cloud Upsampling via Cascaded Refinement Network
Hang Du
Xuejun Yan
Jingjing Wang
Di Xie
Shiliang Pu
3DPC
29
20
0
08 Oct 2022
A Survey on Graph Neural Networks and Graph Transformers in Computer
  Vision: A Task-Oriented Perspective
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective
Chaoqi Chen
Yushuang Wu
Qiyuan Dai
Hong-Yu Zhou
Mutian Xu
Sibei Yang
Xiaoguang Han
Yizhou Yu
ViT
MedIm
AI4CE
27
73
0
27 Sep 2022
PU-MFA : Point Cloud Up-sampling via Multi-scale Features Attention
PU-MFA : Point Cloud Up-sampling via Multi-scale Features Attention
Hyungjun Lee
Sejoon Lim
3DPC
28
4
0
22 Aug 2022
BIMS-PU: Bi-Directional and Multi-Scale Point Cloud Upsampling
BIMS-PU: Bi-Directional and Multi-Scale Point Cloud Upsampling
Yechao Bai
Xiaogang Wang
Marcelo H. Ang Jr
Daniela Rus
3DPC
19
5
0
25 Jun 2022
Physics and semantic informed multi-sensor calibration via optimization
  theory and self-supervised learning
Physics and semantic informed multi-sensor calibration via optimization theory and self-supervised learning
S. Hayoun
M. Halachmi
Doron Serebro
K. Twizer
E. Medezinski
L. Korkidi
Moshik Cohen
Itai Orr
25
3
0
06 Jun 2022
SHARP: Shape-Aware Reconstruction of People in Loose Clothing
SHARP: Shape-Aware Reconstruction of People in Loose Clothing
Sai Sagar Jinka
Astitva Srivastava
R. Chacko
Avinash Sharma
P. J. Narayanan
3DH
11
17
0
24 May 2022
A Comparative Study of Feature Expansion Unit for 3D Point Cloud
  Upsampling
A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling
Qiang Li
Tao Dai
Shutao Xia
3DPC
17
1
0
19 May 2022
CURL: Continuous, Ultra-compact Representation for LiDAR
CURL: Continuous, Ultra-compact Representation for LiDAR
Kaicheng Zhang
Ziyang Hong
S. Xu
Sen Wang
11
4
0
12 May 2022
PU-EVA: An Edge Vector based Approximation Solution for Flexible-scale
  Point Cloud Upsampling
PU-EVA: An Edge Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling
Luqing Luo
Lulu Tang
Wanyi Zhou
Shizheng Wang
Zhixin Yang
3DPC
17
33
0
22 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
26
40
0
23 Mar 2022
Deep Point Cloud Simplification for High-quality Surface Reconstruction
Deep Point Cloud Simplification for High-quality Surface Reconstruction
Yuanqi Li
Jianwei Guo
Xinran Yang
Shun Liu
Jie Guo
Xiaopeng Zhang
Yanwen Guo
3DPC
17
2
0
17 Mar 2022
PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point
  Cloud Upsampling
PUFA-GAN: A Frequency-Aware Generative Adversarial Network for 3D Point Cloud Upsampling
Hao Liu
Hui Yuan
Junhui Hou
R. Hamzaoui
Wei Gao
3DPC
17
82
0
02 Mar 2022
Unsupervised Point Cloud Representation Learning with Deep Neural
  Networks: A Survey
Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey
Aoran Xiao
Jiaxing Huang
Dayan Guan
Xiaoqin Zhang
Shijian Lu
Ling Shao
3DPC
18
71
0
28 Feb 2022
Point Set Self-Embedding
Point Set Self-Embedding
Ruihui Li
Xianzhi Li
T. Wong
Chi-Wing Fu
3DPC
25
3
0
28 Feb 2022
Point cloud completion via structured feature maps using a feedback
  network
Point cloud completion via structured feature maps using a feedback network
Zejia Su
Haibin Huang
Chongyang Ma
Hui Huang
Ruizhen Hu
3DPC
23
6
0
17 Feb 2022
Neural Points: Point Cloud Representation with Neural Fields for
  Arbitrary Upsampling
Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling
Wanquan Feng
Jin Li
Hongrui Cai
Xiaonan Luo
Juyong Zhang
3DPC
6
68
0
08 Dec 2021
PU-Transformer: Point Cloud Upsampling Transformer
PU-Transformer: Point Cloud Upsampling Transformer
Shi Qiu
Saeed Anwar
Nick Barnes
3DPC
ViT
24
50
0
24 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
20
37
0
03 Nov 2021
PC$^2$-PU: Patch Correlation and Point Correlation for Effective Point
  Cloud Upsampling
PC2^22-PU: Patch Correlation and Point Correlation for Effective Point Cloud Upsampling
Chen Long
Wenxiao Zhang
Ruihui Li
Hao Wang
Zhen Dong
Bisheng Yang
3DPC
54
23
0
20 Sep 2021
SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable
  Rendering
SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering
Yifan Zhao
Le Hui
Jin Xie
3DPC
8
34
0
01 Aug 2021
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