ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.10811
  4. Cited By
DiGS : Divergence guided shape implicit neural representation for
  unoriented point clouds

DiGS : Divergence guided shape implicit neural representation for unoriented point clouds

21 June 2021
Yizhak Ben-Shabat
Chamin Pasidu Hewa Koneputugodage
Stephen Gould
    AI4CE
ArXivPDFHTML

Papers citing "DiGS : Divergence guided shape implicit neural representation for unoriented point clouds"

15 / 15 papers shown
Title
Sparse Ellipsoidal Radial Basis Function Network for Point Cloud Surface Representation
Sparse Ellipsoidal Radial Basis Function Network for Point Cloud Surface Representation
Bobo Lian
Dandan Wang
Chenjian Wu
Minxin Chen
3DPC
36
0
0
05 May 2025
Monge-Ampere Regularization for Learning Arbitrary Shapes from Point Clouds
Monge-Ampere Regularization for Learning Arbitrary Shapes from Point Clouds
Chuanxiang Yang
Yuanfeng Zhou
Guangshun Wei
Long Ma
Junhui Hou
Yuan-Bin Liu
Wenping Wang
27
0
0
24 Oct 2024
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
38
0
0
02 Sep 2024
Fast Learning of Signed Distance Functions from Noisy Point Clouds via
  Noise to Noise Mapping
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
NeurCADRecon: Neural Representation for Reconstructing CAD Surfaces by
  Enforcing Zero Gaussian Curvature
NeurCADRecon: Neural Representation for Reconstructing CAD Surfaces by Enforcing Zero Gaussian Curvature
Qiujie Dong
Rui-Xue Xu
Pengfei Wang
Shuangmin Chen
Shiqing Xin
Xiaohong Jia
Wenping Wang
Changhe Tu
3DV
29
2
0
20 Apr 2024
Mixing-Denoising Generalizable Occupancy Networks
Mixing-Denoising Generalizable Occupancy Networks
Amine Ouasfi
A. Boukhayma
3DPC
AI4CE
3DV
21
8
0
20 Nov 2023
Learning a More Continuous Zero Level Set in Unsigned Distance Fields
  through Level Set Projection
Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection
Junsheng Zhou
Baorui Ma
Shujuan Li
Yu-Shen Liu
Zhizhong Han
38
36
0
22 Aug 2023
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise
  to Noise Mapping
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping
Baorui Ma
Yu-Shen Liu
Zhizhong Han
3DPC
26
23
0
02 Jun 2023
Unsupervised Inference of Signed Distance Functions from Single Sparse
  Point Clouds without Learning Priors
Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors
Chao Chen
Yu-Shen Liu
Zhizhong Han
3DPC
27
28
0
25 Mar 2023
Point normal orientation and surface reconstruction by incorporating
  isovalue constraints to Poisson equation
Point normal orientation and surface reconstruction by incorporating isovalue constraints to Poisson equation
Dong Xiao
Zuoqiang Shi
Siyu Li
Bailin Deng
Bin Wang
27
18
0
30 Sep 2022
Semi-signed prioritized neural fitting for surface reconstruction from
  unoriented point clouds
Semi-signed prioritized neural fitting for surface reconstruction from unoriented point clouds
Runsong Zhu
Di Kang
Ka-Hei Hui
Yue Qian
Shi Qiu
Zhen Dong
Linchao Bao
Pheng-Ann Heng
Chi-Wing Fu
3DPC
39
5
0
14 Jun 2022
Surface Reconstruction from Point Clouds by Learning Predictive Context
  Priors
Surface Reconstruction from Point Clouds by Learning Predictive Context Priors
Baorui Ma
Yu-Shen Liu
Matthias Zwicker
Zhizhong Han
3DPC
32
71
0
23 Apr 2022
Local Implicit Grid Representations for 3D Scenes
Local Implicit Grid Representations for 3D Scenes
C. Jiang
Avneesh Sud
A. Makadia
Jingwei Huang
Matthias Nießner
Thomas Funkhouser
3DPC
216
558
0
19 Mar 2020
Convolutional Occupancy Networks
Convolutional Occupancy Networks
Songyou Peng
Michael Niemeyer
L. Mescheder
Marc Pollefeys
Andreas Geiger
3DV
AI4CE
214
971
0
10 Mar 2020
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
238
3,236
0
24 Nov 2016
1