PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows

PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows

11 March 2022

Yu-Hui Wen

Papers citing "PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows"

9 / 9 papers shown

Title
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 Jihe Li Bo Pang Peng-Shuai Wang 3DPC 24 1 0 22 Oct 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
IterativePFN: True Iterative Point Cloud Filtering Dasith de Silva Edirimuni Xuequan Lu Zhiwen Shao Gang Li A. Robles-Kelly Ying He 3DPC 29 30 0 04 Apr 2023
Incomplete Gamma Kernels: Generalizing Locally Optimal Projection Operators P. Stotko Michael Weinmann Reinhard Klein 28 0 0 02 May 2022
Dynamic Point Cloud Denoising via Gradient Fields Q. Hu Wei Hu 3DPC DiffM 8 2 0 19 Apr 2022
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,099 0 02 Dec 2016