Point Cloud Upsampling and Normal Estimation using Deep Learning for Robust Surface Reconstruction

26 February 2021

Papers citing "Point Cloud Upsampling and Normal Estimation using Deep Learning for Robust Surface Reconstruction"

8 / 8 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
MOHO: Learning Single-view Hand-held Object Reconstruction with Multi-view Occlusion-Aware Supervision Chenyangguang Zhang Guanlong Jiao Yan Di Gu Wang Ziqin Huang Ruida Zhang Fabian Manhardt Bowen Fu F. Tombari Xiangyang Ji 17 6 0 18 Oct 2023
MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning H. Xiu Xin Liu Weimin Wang Kyoung-Sook Kim M. Matsuoka 3DPC 21 9 0 04 Aug 2023
NSANet: Noise Seeking Attention Network M. Jameela Gunho Sohn 3DPC 11 1 0 26 Feb 2023
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 21 0 02 Sep 2022
Gradient-based Point Cloud Denoising with Uniformity Tianhan Xu Yuanchen Guo Yongtao Yang Songiie Zhang 3DPC 6 2 0 21 Jul 2022
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
A Graph-CNN for 3D Point Cloud Classification Yingxue Zhang Michael G. Rabbat 3DPC 118 158 0 28 Nov 2018