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PU-Transformer: Point Cloud Upsampling Transformer

PU-Transformer: Point Cloud Upsampling Transformer

24 November 2021
Shi Qiu
Saeed Anwar
Nick Barnes
    3DPC
    ViT
ArXivPDFHTML

Papers citing "PU-Transformer: Point Cloud Upsampling Transformer"

29 / 29 papers shown
Title
3D Point Cloud Generation via Autoregressive Up-sampling
Ziqiao Meng
Qichao Wang
Zhipeng Zhou
Irwin King
Peilin Zhao
3DPC
59
0
0
11 Mar 2025
NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for
  Surface Reconstruction from Point Clouds
NumGrad-Pull: Numerical Gradient Guided Tri-plane Representation for Surface Reconstruction from Point Clouds
Ruikai Cui
S. Qiu
Jiawei Liu
Saeed Anwar
Nick Barnes
3DPC
82
0
0
26 Nov 2024
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
37
3
0
30 Oct 2024
Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs
Joint Point Cloud Upsampling and Cleaning with Octree-based CNNs
Jihe Li
Bo Pang
Peng-Shuai Wang
3DPC
16
1
0
22 Oct 2024
MBPU: A Plug-and-Play State Space Model for Point Cloud Upsamping with
  Fast Point Rendering
MBPU: A Plug-and-Play State Space Model for Point Cloud Upsamping with Fast Point Rendering
Jiayi Song
Weidong Yang
Zhijun Li
Wen-Ming Chen
Ben Fei
3DPC
18
1
0
21 Oct 2024
Rethinking Data Input for Point Cloud Upsampling
Rethinking Data Input for Point Cloud Upsampling
Tongxu Zhang
3DPC
33
1
0
05 Jul 2024
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with
  Latent Geometric-Consistent Learning
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning
Hang Du
Xuejun Yan
Jingjing Wang
Di Xie
Shiliang Pu
3DPC
32
5
0
08 Mar 2024
PillarGen: Enhancing Radar Point Cloud Density and Quality via
  Pillar-based Point Generation Network
PillarGen: Enhancing Radar Point Cloud Density and Quality via Pillar-based Point Generation Network
Ji Song Kim
Geonho Bang
Kwangjin Choi
Minjae Seong
Jaechang Yoo
Eunjong Pyo
Jun Won Choi
19
0
0
04 Mar 2024
TULIP: Transformer for Upsampling of LiDAR Point Clouds
TULIP: Transformer for Upsampling of LiDAR Point Clouds
Bin Yang
Patrick Pfreundschuh
Roland Siegwart
Marco Hutter
Peyman Moghadam
Vaishakh Patil
3DPC
16
4
0
11 Dec 2023
DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction
DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction
Yanlong Li
Chamara Madarasingha
Kanchana Thilakarathna
11
1
0
06 Dec 2023
PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on
  Neural Implicit Surface
PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit Surface
Sangwon Lim
Karim El-Basyouny
Yee-Hong Yang
3DPC
11
3
0
12 Oct 2023
P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds
P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds
Rui-Qing Cui
Shi Qiu
Saeed Anwar
Jiawei Liu
Chaoyue Xing
Jing Zhang
Nick Barnes
3DPC
31
21
0
27 Jul 2023
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent
  with Learned Distance Functions
Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions
Yun He
Danhang Tang
Yinda Zhang
Xiangyang Xue
Yanwei Fu
3DPC
15
48
0
24 Apr 2023
Parametric Surface Constrained Upsampler Network for Point Cloud
Parametric Surface Constrained Upsampler Network for Point Cloud
Pingping Cai
Zhenyao Wu
Xinyi Wu
Song Wang
3DPC
22
5
0
14 Mar 2023
PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning
PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning
Jie Hong
Shi Qiu
Weihong Li
Saeed Anwar
Mehrtash Harandi
Nick Barnes
L. Petersson
3DPC
20
5
0
05 Dec 2022
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context
  Propagation in Transformers
LCPFormer: Towards Effective 3D Point Cloud Analysis via Local Context Propagation in Transformers
Zhuo Huang
Zhiyou Zhao
Banghuai Li
Jungong Han
3DPC
ViT
23
55
0
23 Oct 2022
CU-Net: Real-Time High-Fidelity Color Upsampling for Point Clouds
CU-Net: Real-Time High-Fidelity Color Upsampling for Point Clouds
Lingdong Wang
Mohammad Hajiesmaili
Jacob Chakareski
R. Sitaraman
3DPC
8
4
0
12 Sep 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
17
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
11
9
0
10 Aug 2022
AGConv: Adaptive Graph Convolution on 3D Point Clouds
AGConv: Adaptive Graph Convolution on 3D Point Clouds
Mingqiang Wei
Zeyong Wei
Hao Zhou
Fei-Jiang Hu
Huajian Si
...
Jingbo Qiu
Xu Yan
Yan Guo
Jun Wang
J. Qin
3DPC
10
37
0
09 Jun 2022
Transformers in 3D Point Clouds: A Survey
Transformers in 3D Point Clouds: A Survey
Dening Lu
Qian Xie
Mingqiang Wei
Kyle Gao
Linlin Xu
Jonathan Li
3DPC
ViT
30
47
0
16 May 2022
3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification
3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification
Dening Lu
Qian Xie
Linlin Xu
Jonathan Li
3DV
16
65
0
02 Mar 2022
Deep Point Cloud Reconstruction
Deep Point Cloud Reconstruction
J. Choe
Byeongin Joung
François Rameau
Jaesik Park
In So Kweon
3DPC
33
18
0
23 Nov 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
F. Khan
M. Shah
ViT
225
2,404
0
04 Jan 2021
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks
Kirill Mazur
Victor Lempitsky
3DPC
46
39
0
22 Jul 2020
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
C. Qi
Xinlei Chen
Or Litany
Leonidas J. Guibas
3DPC
182
239
0
29 Jan 2020
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Joint 2D-3D-Semantic Data for Indoor Scene Understanding
Iro Armeni
S. Sax
Amir Zamir
Silvio Savarese
3DV
3DPC
113
864
0
03 Feb 2017
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
219
13,886
0
02 Dec 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
190
5,138
0
16 Sep 2016
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