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PU-EVA: An Edge Vector based Approximation Solution for Flexible-scale
  Point Cloud Upsampling

PU-EVA: An Edge Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling

22 April 2022
Luqing Luo
Lulu Tang
Wanyi Zhou
Shizheng Wang
Zhixin Yang
    3DPC
ArXiv (abs)PDFHTML

Papers citing "PU-EVA: An Edge Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling"

6 / 6 papers shown
Title
Point Cloud Upsampling via Cascaded Refinement Network
Point Cloud Upsampling via Cascaded Refinement Network
Hang Du
Xuejun Yan
Jingjing Wang
Di Xie
Shiliang Pu
3DPC
56
21
0
08 Oct 2022
PU-MFA : Point Cloud Up-sampling via Multi-scale Features Attention
PU-MFA : Point Cloud Up-sampling via Multi-scale Features Attention
Hyungjun Lee
Sejoon Lim
3DPC
56
4
0
22 Aug 2022
Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians
Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians
Anthony DellÉva
M. Orsingher
Massimo Bertozzi
3DPC
51
9
0
10 Aug 2022
Neural Points: Point Cloud Representation with Neural Fields for
  Arbitrary Upsampling
Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling
Wanquan Feng
Jin Li
Hongrui Cai
Xiaonan Luo
Juyong Zhang
3DPC
70
69
0
08 Dec 2021
PU-Transformer: Point Cloud Upsampling Transformer
PU-Transformer: Point Cloud Upsampling Transformer
Shi Qiu
Saeed Anwar
Nick Barnes
3DPCViT
76
53
0
24 Nov 2021
Dual Transformer for Point Cloud Analysis
Dual Transformer for Point Cloud Analysis
Xian-Feng Han
Yi-Fei Jin
Hui Cheng
Guoqiang Xiao
ViT
89
75
0
27 Apr 2021
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