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Point Cloud Super Resolution with Adversarial Residual Graph Networks

Point Cloud Super Resolution with Adversarial Residual Graph Networks

British Machine Vision Conference (BMVC), 2019
6 August 2019
Huikai Wu
Junge Zhang
Kaiqi Huang
    3DPC
ArXiv (abs)PDFHTML

Papers citing "Point Cloud Super Resolution with Adversarial Residual Graph Networks"

13 / 13 papers shown
Evaluating Gemini LLM in Food Image-Based Recipe and Nutrition Description with EfficientNet-B4 Visual Backbone
Evaluating Gemini LLM in Food Image-Based Recipe and Nutrition Description with EfficientNet-B4 Visual Backbone
Rizal Khoirul Anam
89
0
0
11 Nov 2025
Deep Learning for 3D Point Cloud Enhancement: A Survey
Deep Learning for 3D Point Cloud Enhancement: A Survey
Siwen Quan
Junhao Yu
Ziming Nie
Muze Wang
Sijia Feng
Pei An
Jiaqi Yang
3DPC
266
5
0
30 Oct 2024
Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes
Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes
Hmrishav Bandyopadhyay
Subhadeep Koley
Ayan Das
A. Bhunia
Aneeshan Sain
Pinaki Nath Chowdhury
Tao Xiang
Yi-Zhe Song
593
24
0
07 Dec 2023
Parametric Surface Constrained Upsampler Network for Point Cloud
Parametric Surface Constrained Upsampler Network for Point CloudAAAI Conference on Artificial Intelligence (AAAI), 2023
Pingping Cai
Zhenyao Wu
Xinyi Wu
Song Wang
3DPC
339
8
0
14 Mar 2023
A Survey on Graph Neural Networks and Graph Transformers in Computer
  Vision: A Task-Oriented Perspective
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented PerspectiveIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Chaoqi Chen
Yushuang Wu
Qiyuan Dai
Hong-Yu Zhou
Mutian Xu
Sibei Yang
Xiaoguang Han
Yizhou Yu
ViTMedImAI4CE
401
138
0
27 Sep 2022
Super-resolution 3D Human Shape from a Single Low-Resolution Image
Super-resolution 3D Human Shape from a Single Low-Resolution ImageEuropean Conference on Computer Vision (ECCV), 2022
Marco Pesavento
M. Volino
A. Hilton
SupR3DH
140
14
0
23 Aug 2022
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit
  Neural Representation
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural RepresentationComputer Vision and Pattern Recognition (CVPR), 2022
Wenbo Zhao
Xianming Liu
Zhiwei Zhong
Junjun Jiang
Wei-Nan Gao
Ge Li
Xiangyang Ji
3DPCSSL
211
56
0
18 Apr 2022
Deep Point Cloud Simplification for High-quality Surface Reconstruction
Deep Point Cloud Simplification for High-quality Surface Reconstruction
Yuanqi Li
Jianwei Guo
Xinran Yang
Shun Liu
Jie Guo
Xiaopeng Zhang
Yanwen Guo
3DPC
276
3
0
17 Mar 2022
HALS: A Height-Aware Lidar Super-Resolution Framework for Autonomous
  Driving
HALS: A Height-Aware Lidar Super-Resolution Framework for Autonomous Driving
George Eskandar
Sanjeev Sudarsan
Karim Guirguis
Janaranjani Palaniswamy
Bharath Somashekar
Bin Yang
319
10
0
08 Feb 2022
PC$^2$-PU: Patch Correlation and Point Correlation for Effective Point
  Cloud Upsampling
PC2^22-PU: Patch Correlation and Point Correlation for Effective Point Cloud Upsampling
Chen Long
Wenxiao Zhang
Ruihui Li
Hao Wang
Zhen Dong
Bisheng Yang
3DPC
251
32
0
20 Sep 2021
"Zero-Shot" Point Cloud Upsampling
"Zero-Shot" Point Cloud UpsamplingIEEE International Conference on Multimedia and Expo (ICME), 2021
K. Zhou
Mingtao Dong
S. Arslanturk
3DPC
240
14
0
25 Jun 2021
Meta-PU: An Arbitrary-Scale Upsampling Network for Point Cloud
Meta-PU: An Arbitrary-Scale Upsampling Network for Point CloudIEEE Transactions on Visualization and Computer Graphics (TVCG), 2021
Shuquan Ye
Dongdong Chen
Songfang Han
Bo Liu
Jing Liao
3DPC
187
98
0
08 Feb 2021
LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of
  Point Cloud-based Deep Networks
LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep NetworksComputer Vision and Pattern Recognition (CVPR), 2020
Hang Zhou
Dongdong Chen
Jing Liao
Weiming Zhang
Kejiang Chen
Xiaoyi Dong
Kunlin Liu
G. Hua
Nenghai Yu
3DPC
257
121
0
01 Nov 2020
1
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