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Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning

16 April 2019

Timo Ropinski

Papers citing "Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning"

50 / 58 papers shown

Title
Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising Xiangbin Wei Yuanfeng Wang Ao XU Lingyu Zhu Dongyong Sun K. Li Yang Li Qi Qin DiffM 94 0 0 12 Mar 2025
Noise2Score3D:Unsupervised Tweedie's Approach for Point Cloud Denoising Xiangbin Wei 416 0 0 24 Feb 2025
Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks Wenqiang Xu Wenrui Dai Duoduo Xue Ziyang Zheng Chenglin Li Junni Zou Hongkai Xiong 3DPC 119 0 0 21 Nov 2024
Deep Learning for 3D Point Cloud Enhancement: A Survey Siwen Quan Junhao Yu Ziming Nie Muze Wang Sijia Feng Pei An Jiaqi Yang 3DPC 78 4 0 30 Oct 2024
Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors C. L. P. Chen Yu-Shen Liu Zhizhong Han 105 4 0 25 Oct 2024
Score-Based Multibeam Point Cloud Denoising Li Ling Yiping Xie Nils Bore John Folkesson 3DPC 43 0 0 20 Sep 2024
Fast Learning of Signed Distance Functions from Noisy Point Clouds via Noise to Noise Mapping Junsheng Zhou Baorui Ma Yu-Shen Liu Zhizhong Han 3DPC 115 10 0 04 Jul 2024
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
Localization and Offline Mapping of High-Voltage Substations in Rough Terrain Using a Ground Vehicle Ioannis Alamanos G. Moustris C. Tzafestas 123 0 0 28 Mar 2024
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
Self-Annotated 3D Geometric Learning for Smeared Points Removal Miaowei Wang Daniel Morris 3DPC 63 3 0 15 Nov 2023
DREAM-PCD: Deep Reconstruction and Enhancement of mmWave Radar Pointcloud Ruixu Geng Yadong Li Dongheng Zhang Jincheng Wu Yating Gao Yang Hu Yuanchun Chen 76 13 0 27 Sep 2023
Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset Zixun Huang Keling Yao Seth Z. Zhao Chuanyu Pan Chenfeng Xu 89 0 0 24 Sep 2023
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping Baorui Ma Yu-Shen Liu Zhizhong Han 3DPC 95 23 0 02 Jun 2023
Multi-Echo Denoising in Adverse Weather Alvari Seppänen Risto Ojala Kari Tammi 53 3 0 23 May 2023
NoiseTrans: Point Cloud Denoising with Transformers Guangzhe Hou G. Qin Minghui Sun Yanhua Liang Jie Yan Zhonghan Zhang 3DPC ViT 57 2 0 24 Apr 2023
NSANet: Noise Seeking Attention Network M. Jameela Gunho Sohn 3DPC 53 1 0 26 Feb 2023
PointResNet: Residual Network for 3D Point Cloud Segmentation and Classification Aadesh Desai Saagar Parikh S. Kumari Shanmuganathan Raman 3DPC 3DV 120 2 0 20 Nov 2022
LBF:Learnable Bilateral Filter For Point Cloud Denoising Huajian Si Zeyong Wei Zhe Zhu Honghua Chen Dong Liang Weiming Wang Mingqiang Wei 3DPC 42 1 0 28 Oct 2022
GeoGCN: Geometric Dual-domain Graph Convolution Network for Point Cloud Denoising Zhaowei Chen Peng Li Zeyong Wei Honghua Chen H. Xie Mingqiang Wei F. Wang 3DPC 15 4 0 28 Oct 2022
Geometric and Learning-based Mesh Denoising: A Comprehensive Survey Honghua Chen Mingqiang Wei Jun Wang AAML AI4CE 46 7 0 02 Sep 2022
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 Anyi Huang Qian Xie Zhoutao Wang Dening Lu Mingqiang Wei Jun Wang 3DPC 50 11 0 30 Aug 2022
Contrastive Learning for Joint Normal Estimation and Point Cloud Filtering Dasith de Silva Edirimuni Xuequan Lu Gang Li A. Robles-Kelly 3DPC 102 13 0 14 Aug 2022
SLiDE: Self-supervised LiDAR De-snowing through Reconstruction Difficulty Gwangtak Bae Byungjun Kim Seongyong Ahn Jihong Min Inwook Shim 3DPC 69 11 0 08 Aug 2022
GraphFit: Learning Multi-scale Graph-Convolutional Representation for Point Cloud Normal Estimation Keqiang Li Mingyang Zhao Huaiyu Wu Dongfeng Yan Zhen Shen Feiyue Wang Gang Xiong 3DPC 30 22 0 23 Jul 2022
Gradient-based Point Cloud Denoising with Uniformity Tianhan Xu Yuanchen Guo Yongtao Yang Songiie Zhang 3DPC 54 2 0 21 Jul 2022
Faster Diffusion Cardiac MRI with Deep Learning-based breath hold reduction Michael Tanzer Pedro F. Ferreira Andrew D. Scott Z. Khalique Maria Dwornik D. Pennell Guang Yang Daniel Rueckert S. Nielles-Vallespin MedIm 48 3 0 21 Jun 2022
Incomplete Gamma Kernels: Generalizing Locally Optimal Projection Operators P. Stotko Michael Weinmann Reinhard Klein 69 0 0 02 May 2022
Dynamic Point Cloud Denoising via Gradient Fields Q. Hu Wei Hu 3DPC DiffM 44 2 0 19 Apr 2022
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 Aihua Mao Zihui Du Yu-Hui Wen Jun-ying Xuan Yang Liu 54 28 0 11 Mar 2022
Point Set Self-Embedding Ruihui Li Xianzhi Li T. Wong Chi-Wing Fu 3DPC 83 3 0 28 Feb 2022
Point Cloud Denoising via Momentum Ascent in Gradient Fields Yaping Zhao Haitian Zheng Zhongrui Wang Jiebo Luo E. Lam 3DPC 48 11 0 21 Feb 2022
Towards Uniform Point Distribution in Feature-preserving Point Cloud Filtering Shuaijun Chen Jinxi Wang Wei Pan Shang Gao Meili Wang Xuequan Lu 3DPC 65 20 0 05 Jan 2022
RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising Michael Schelling Pedro Hermosilla Timo Ropinski 3DPC 114 11 0 30 Nov 2021
POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing Sheng Xu Yanjing Li Junhe Zhao Baochang Zhang Guodong Guo 3DPC 57 8 0 26 Nov 2021
Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion Tong Wu Liang Pan Junzhe Zhang Tai Wang Ziwei Liu Dahua Lin 112 135 0 24 Nov 2021
Deep Point Cloud Reconstruction J. Choe Byeongin Joung François Rameau Jaesik Park In So Kweon 3DPC 96 19 0 23 Nov 2021
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 Jinxi Wang Jincen Jiang Xuequan Lu Meili Wang 3DPC 76 14 0 14 Oct 2021
Representing Shape Collections with Alignment-Aware Linear Models Romain Loiseau Tom Monnier Mathieu Aubry Loïc Landrieu 3DPC 3DV 62 8 0 03 Sep 2021
AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds Runsong Zhu Yuan Liu Zhen Dong Tengping Jiang Yuan Wang Wenping Wang Bisheng Yang 3DPC 68 43 0 12 Aug 2021
Score-Based Point Cloud Denoising Shitong Luo Wei Hu DiffM 128 160 0 23 Jul 2021
Point Cloud Upsampling via Disentangled Refinement Ruihui Li Xianzhi Li Pheng-Ann Heng Chi-Wing Fu 3DPC 132 127 0 09 Jun 2021
Orienting Point Clouds with Dipole Propagation G. Metzer Rana Hanocka Denis Zorin Raja Giryes Daniele Panozzo Daniel Cohen-Or 3DPC 88 50 0 04 May 2021
Unsupervised Shape Completion via Deep Prior in the Neural Tangent Kernel Perspective Lei Chu Hao Pan Wenping Wang 3DPC 75 11 0 19 Apr 2021
Point-set Distances for Learning Representations of 3D Point Clouds Trung Nguyen Quang Pham Tam Le Tung Pham Nhat Ho Binh-Son Hua 3DPC 98 74 0 08 Feb 2021
Geometric Adversarial Attacks and Defenses on 3D Point Clouds Itai Lang Uriel Kotlicki S. Avidan AAML 3DPC 101 17 0 10 Dec 2020
Deep Learning for 3D Point Cloud Understanding: A Survey Haoming Lu Humphrey Shi 3DPC 87 32 0 18 Sep 2020