Differentiable Manifold Reconstruction for Point Cloud Denoising

27 July 2020

Papers citing "Differentiable Manifold Reconstruction for Point Cloud Denoising"

43 / 43 papers shown

Title
Analytical Discovery of Manifold with Machine Learning Yafei Shen Huan-Fei Ma Ling Yang 31 0 0 03 Apr 2025
Noise2Score3D: Tweedie's Approach for Unsupervised Point Cloud Denoising Xiangbin Wei DiffM 60 0 0 12 Mar 2025
Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising Z. Li Qiaoyun Wu Jialin Zhang Kaijun Zhang Jun Wang 3DPC 47 0 0 27 Feb 2025
Noise2Score3D:Unsupervised Tweedie's Approach for Point Cloud Denoising Xiangbin Wei 113 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 77 0 0 21 Nov 2024
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
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
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 40 4 0 25 Oct 2024
Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs Jihe Li Bo Pang Peng-Shuai Wang 3DPC 24 1 0 22 Oct 2024
Score-Based Multibeam Point Cloud Denoising Li Ling Yiping Xie Nils Bore John Folkesson 3DPC 19 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 42 9 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 36 1 0 03 Jul 2024
E $^3$ -Net: Efficient E(3)-Equivariant Normal Estimation Network Hanxiao Wang Mingyang Zhao Weize Quan Zhen Chen Dong-ming Yan Peter Wonka 3DPC 31 0 0 01 Jun 2024
StraightPCF: Straight Point Cloud Filtering Dasith de Silva Edirimuni Xuequan Lu Gang Li Lei Wei A. Robles-Kelly Hongdong Li 3DPC 48 4 0 14 May 2024
Fast graph-based denoising for point cloud color information R. Watanabe Keisuke Nonaka Eduardo Pavez Tatsuya Kobayashi Antonio Ortega 3DPC 16 4 0 18 Jan 2024
SSFlowNet: Semi-supervised Scene Flow Estimation On Point Clouds With Pseudo Label Jingze Chen Junfeng Yao Qiqin Lin Rongzhou Zhou Lei Li 30 0 0 23 Dec 2023
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping Baorui Ma Yu-Shen Liu Zhizhong Han 3DPC 22 23 0 02 Jun 2023
Multi-Echo Denoising in Adverse Weather Alvari Seppänen Risto Ojala Kari Tammi 27 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 15 2 0 24 Apr 2023
Manifold Fitting Z. Yao Jiaji Su Bingjie Li S. Yau 66 3 0 16 Apr 2023
IterativePFN: True Iterative Point Cloud Filtering Dasith de Silva Edirimuni Xuequan Lu Zhiwen Shao Gang Li A. Robles-Kelly Ying He 3DPC 27 30 0 04 Apr 2023
Parametric Surface Constrained Upsampler Network for Point Cloud Pingping Cai Zhenyao Wu Xinyi Wu Song Wang 3DPC 30 5 0 14 Mar 2023
NSANet: Noise Seeking Attention Network M. Jameela Gunho Sohn 3DPC 11 1 0 26 Feb 2023
Using Intermediate Forward Iterates for Intermediate Generator Optimization Harshit Mishra Jurijs Nazarovs Manmohan Dogra Sathya Ravi DiffM 21 0 0 05 Feb 2023
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
PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition Qidong Huang Xiaoyi Dong Dongdong Chen Hang Zhou Weiming Zhang Kui Zhang Gang Hua Nenghai Yu 3DPC 19 12 0 16 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 11 19 0 02 Sep 2022
SLiDE: Self-supervised LiDAR De-snowing through Reconstruction Difficulty Gwangtak Bae Byungjun Kim Seongyong Ahn Jihong Min Inwook Shim 3DPC 14 11 0 08 Aug 2022
Gradient-based Point Cloud Denoising with Uniformity Tianhan Xu Yuanchen Guo Yongtao Yang Songiie Zhang 3DPC 6 2 0 21 Jul 2022
Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs Rui Jiao Jiaqi Han Wenbing Huang Yu Rong Yang Liu AI4CE 30 45 0 18 Jul 2022
Incomplete Gamma Kernels: Generalizing Locally Optimal Projection Operators P. Stotko Michael Weinmann Reinhard Klein 17 0 0 02 May 2022
Dynamic Point Cloud Denoising via Gradient Fields Q. Hu Wei Hu 3DPC DiffM 8 2 0 19 Apr 2022
PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows Aihua Mao Zihui Du Yu-Hui Wen Jun-ying Xuan Y. Liu 11 28 0 11 Mar 2022
Point Cloud Denoising via Momentum Ascent in Gradient Fields Yaping Zhao Haitian Zheng Zhongrui Wang Jiebo Luo E. Lam 3DPC 6 10 0 21 Feb 2022
Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement Xue Zhang Gene Cheung Jiahao Pang Yash Sanghvi Abhiram Gnanasambandam Stanley H. Chan 3DPC 14 6 0 09 Nov 2021
Deep Point Set Resampling via Gradient Fields Haolan Chen Bianli Du Shitong Luo Wei Hu 3DPC 18 36 0 03 Nov 2021
Rethinking Point Cloud Filtering: A Non-Local Position Based Approach Jinxi Wang Jincen Jiang Xuequan Lu Meili Wang 3DPC 30 14 0 14 Oct 2021
PC $^2$ -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
Score-Based Point Cloud Denoising Shitong Luo Wei Hu DiffM 11 156 0 23 Jul 2021
Orienting Point Clouds with Dipole Propagation G. Metzer Rana Hanocka Denis Zorin Raja Giryes Daniele Panozzo Daniel Cohen-Or 3DPC 27 45 0 04 May 2021
ChartPointFlow for Topology-Aware 3D Point Cloud Generation Takumi Kimura Takashi Matsubara K. Uehara 3DPC 15 8 0 04 Dec 2020
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications Wei Hu Jiahao Pang Xianming Liu Dong Tian Chia-Wen Lin A. Vetro 21 62 0 05 Aug 2020
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing Yongcheng Liu Bin Fan Gaofeng Meng Jiwen Lu Shiming Xiang Chunhong Pan 3DPC 115 270 0 09 Sep 2019