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Neural Gradient Learning and Optimization for Oriented Point Normal
  Estimation

Neural Gradient Learning and Optimization for Oriented Point Normal Estimation

17 September 2023
Qing Li
Huifang Feng
Kanle Shi
Yi Fang
Yu-Shen Liu
Zhizhong Han
    3DPC
ArXivPDFHTML

Papers citing "Neural Gradient Learning and Optimization for Oriented Point Normal Estimation"

5 / 5 papers shown
Title
OCMG-Net: Neural Oriented Normal Refinement for Unstructured Point
  Clouds
OCMG-Net: Neural Oriented Normal Refinement for Unstructured Point Clouds
Yingrui Wu
Mingyang Zhao
Weize Quan
Jian Shi
Xiaohong Jia
Dong-Ming Yan
3DPC
43
0
0
02 Sep 2024
A Lightweight UDF Learning Framework for 3D Reconstruction Based on Local Shape Functions
A Lightweight UDF Learning Framework for 3D Reconstruction Based on Local Shape Functions
Jiangbei Hu
Yongqian Li
Fei Hou
Junhui Hou
Zhebin Zhang
Shengfa Wang
Na Lei
Ying He
58
0
0
01 Jul 2024
Refining 3D Point Cloud Normal Estimation via Sample Selection
Refining 3D Point Cloud Normal Estimation via Sample Selection
Jun Zhou
Yaoshun Li
Hongchen Tan
Mingjie Wang
Nannan Li
Xiuping Liu
3DPC
34
0
0
20 May 2024
Normal Estimation for 3D Point Clouds via Local Plane Constraint and
  Multi-scale Selection
Normal Estimation for 3D Point Clouds via Local Plane Constraint and Multi-scale Selection
Jun Zhou
Hua Huang
Bin Liu
Xiuping Liu
3DPC
3DV
39
51
0
18 Oct 2019
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
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
14,103
0
02 Dec 2016
1