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PU-Net: Point Cloud Upsampling Network

PU-Net: Point Cloud Upsampling Network

21 January 2018
Lequan Yu
Xianzhi Li
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
    3DPC
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Papers citing "PU-Net: Point Cloud Upsampling Network"

50 / 101 papers shown
Title
Learning Scene Dynamics from Point Cloud Sequences
Learning Scene Dynamics from Point Cloud Sequences
Pan He
Patrick Emami
Sanjay Ranka
Anand Rangarajan
3DPC
33
18
0
16 Nov 2021
Multimodal Virtual Point 3D Detection
Multimodal Virtual Point 3D Detection
Tianwei Yin
Xingyi Zhou
Philipp Krahenbuhl
3DPC
160
245
0
12 Nov 2021
3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds
3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds
Le Hui
Lingpeng Wang
Mingmei Cheng
Jin Xie
Jian Yang
3DPC
24
80
0
08 Nov 2021
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution
  with Skip-Transformer
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer
Peng Xiang
Xin Wen
Yu-Shen Liu
Yan-Pei Cao
Pengfei Wan
Wen Zheng
Zhizhong Han
ViT
3DPC
43
225
0
10 Aug 2021
Score-Based Point Cloud Denoising
Score-Based Point Cloud Denoising
Shitong Luo
Wei Hu
DiffM
30
156
0
23 Jul 2021
Neural Marching Cubes
Neural Marching Cubes
Zhiqin Chen
Hao Zhang
26
78
0
21 Jun 2021
Point Cloud Upsampling via Disentangled Refinement
Point Cloud Upsampling via Disentangled Refinement
Ruihui Li
Xianzhi Li
Pheng-Ann Heng
Chi-Wing Fu
3DPC
33
125
0
09 Jun 2021
PointLIE: Locally Invertible Embedding for Point Cloud Sampling and
  Recovery
PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery
Weibing Zhao
Xu Yan
Jiantao Gao
Ruimao Zhang
Jiayan Zhang
Zhen Li
Song Wu
Shuguang Cui
3DPC
18
7
0
30 Apr 2021
Unsupervised 3D Shape Completion through GAN Inversion
Unsupervised 3D Shape Completion through GAN Inversion
Junzhe Zhang
Xinyi Chen
Zhongang Cai
Liang Pan
Haiyu Zhao
Shuai Yi
C. Yeo
Bo Dai
Chen Change Loy
3DPC
18
113
0
27 Apr 2021
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction
Shilin Liu
Haoxiang Guo
Hao Pan
Peng-Shuai Wang
Xin Tong
Yang Liu
3DPC
3DV
29
97
0
23 Mar 2021
MPED: Quantifying Point Cloud Distortion based on Multiscale Potential
  Energy Discrepancy
MPED: Quantifying Point Cloud Distortion based on Multiscale Potential Energy Discrepancy
Qi Yang
Yujie Zhang
Siheng Chen
Yiling Xu
Jun Sun
Zhan Ma
16
42
0
04 Mar 2021
Point Cloud Upsampling and Normal Estimation using Deep Learning for
  Robust Surface Reconstruction
Point Cloud Upsampling and Normal Estimation using Deep Learning for Robust Surface Reconstruction
Rajat Sharma
Tobias Schwandt
Christian Kunert
Steffen Urban
W. Broll
3DPC
28
19
0
26 Feb 2021
Semantic Scene Completion using Local Deep Implicit Functions on LiDAR
  Data
Semantic Scene Completion using Local Deep Implicit Functions on LiDAR Data
Christoph B. Rist
David Emmerichs
Markus Enzweiler
D. Gavrila
3DPC
3DV
20
84
0
18 Nov 2020
Learning Occupancy Function from Point Clouds for Surface Reconstruction
Learning Occupancy Function from Point Clouds for Surface Reconstruction
Menglin Jia
M. Kyan
3DPC
24
18
0
22 Oct 2020
GAMesh: Guided and Augmented Meshing for Deep Point Networks
GAMesh: Guided and Augmented Meshing for Deep Point Networks
Nitin Agarwal
M. Gopi
3DPC
3DGS
168
4
0
19 Oct 2020
Skeleton-bridged Point Completion: From Global Inference to Local
  Adjustment
Skeleton-bridged Point Completion: From Global Inference to Local Adjustment
Y. Nie
Yiqun Lin
Xiaoguang Han
Shihui Guo
Jian Chang
Shuguang Cui
Jianjun Zhang
3DPC
27
44
0
14 Oct 2020
Deep Learning for 3D Point Cloud Understanding: A Survey
Deep Learning for 3D Point Cloud Understanding: A Survey
Haoming Lu
Humphrey Shi
3DPC
13
32
0
18 Sep 2020
Differentiable Manifold Reconstruction for Point Cloud Denoising
Differentiable Manifold Reconstruction for Point Cloud Denoising
Shitong Luo
Wei Hu
3DPC
27
131
0
27 Jul 2020
GarNet++: Improving Fast and Accurate Static3D Cloth Draping by
  Curvature Loss
GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss
Erhan Gundogdu
Victor Constantin
Shaifali Parashar
Amrollah Seifoddini
Minh Dang
Mathieu Salzmann
Pascal Fua
3DH
76
40
0
20 Jul 2020
DNF-Net: a Deep Normal Filtering Network for Mesh Denoising
DNF-Net: a Deep Normal Filtering Network for Mesh Denoising
Xianzhi Li
Ruihui Li
Lei Zhu
Chi-Wing Fu
Pheng-Ann Heng
AI4CE
33
49
0
28 Jun 2020
Self-Supervised Learning for Domain Adaptation on Point-Clouds
Self-Supervised Learning for Domain Adaptation on Point-Clouds
Idan Achituve
Haggai Maron
Gal Chechik
3DPC
35
160
0
29 Mar 2020
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation
  and Gauss-Newton Refinement
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement
Zehao Yu
Shenghua Gao
3DV
36
218
0
29 Mar 2020
Multimodal Shape Completion via Conditional Generative Adversarial
  Networks
Multimodal Shape Completion via Conditional Generative Adversarial Networks
Rundi Wu
Xuelin Chen
Yixin Zhuang
Baoquan Chen
3DPC
22
85
0
17 Mar 2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis
A Rotation-Invariant Framework for Deep Point Cloud Analysis
Xianzhi Li
Ruihui Li
Guangyong Chen
Chi-Wing Fu
Daniel Cohen-Or
Pheng-Ann Heng
3DPC
120
109
0
16 Mar 2020
3D Point Cloud Processing and Learning for Autonomous Driving
3D Point Cloud Processing and Learning for Autonomous Driving
Siheng Chen
Baoan Liu
Chen Feng
Carlos Vallespi-Gonzalez
Carl K. Wellington
3DPC
56
164
0
01 Mar 2020
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks
  with Adaptive Sampling
PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling
Xu Yan
Chaoda Zheng
Zhuguo Li
Sheng Wang
Shuguang Cui
3DPC
31
544
0
01 Mar 2020
PF-Net: Point Fractal Network for 3D Point Cloud Completion
PF-Net: Point Fractal Network for 3D Point Cloud Completion
Zitian Huang
Yikuan Yu
Jiawen Xu
Feng Ni
Xinyi Le
3DPC
41
356
0
01 Mar 2020
PointAugment: an Auto-Augmentation Framework for Point Cloud
  Classification
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
Ruihui Li
Xianzhi Li
Pheng-Ann Heng
Chi-Wing Fu
3DPC
22
145
0
25 Feb 2020
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling
PUGeo-Net: A Geometry-centric Network for 3D Point Cloud Upsampling
Y. Qian
Junhui Hou
Sam Kwong
Ying He
3DPC
24
115
0
24 Feb 2020
A Survey on Deep Geometry Learning: From a Representation Perspective
A Survey on Deep Geometry Learning: From a Representation Perspective
Yun-Peng Xiao
Yu-Kun Lai
Fang-Lue Zhang
Chunpeng Li
Lin Gao
3DH
AI4TS
40
100
0
19 Feb 2020
Hypernetwork approach to generating point clouds
Hypernetwork approach to generating point clouds
Przemysław Spurek
Sebastian Winczowski
Jacek Tabor
M. Zamorski
Maciej Ziȩba
Tomasz Trzciñski
3DPC
42
34
0
10 Feb 2020
Meshlet Priors for 3D Mesh Reconstruction
Meshlet Priors for 3D Mesh Reconstruction
Abhishek Badki
Orazio Gallo
Jan Kautz
P. Sen
21
45
0
06 Jan 2020
JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds
JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds
Lin Zhao
Wenbing Tao
3DV
ISeg
42
105
0
20 Dec 2019
SampleNet: Differentiable Point Cloud Sampling
SampleNet: Differentiable Point Cloud Sampling
Itai Lang
Asaf Manor
S. Avidan
3DPC
16
163
0
08 Dec 2019
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
Abdullah Hamdi
Sara Rojas
Ali K. Thabet
Guohao Li
AAML
3DPC
28
127
0
01 Dec 2019
Point Cloud Super Resolution with Adversarial Residual Graph Networks
Point Cloud Super Resolution with Adversarial Residual Graph Networks
Huikai Wu
Junge Zhang
Kaiqi Huang
3DPC
16
47
0
06 Aug 2019
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global
  Reconstruction with Hierarchical Self-Attention
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention
Xinhai Liu
Zhizhong Han
Xin Wen
Yu-Shen Liu
Matthias Zwicker
3DPC
22
85
0
02 Aug 2019
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
Guandao Yang
Xun Huang
Jinwei Gu
Ming-Yu Liu
Serge J. Belongie
Bharath Hariharan
3DPC
40
656
0
28 Jun 2019
CNN-based synthesis of realistic high-resolution LiDAR data
CNN-based synthesis of realistic high-resolution LiDAR data
Larissa T. Triess
David Peter
Christoph B. Rist
Markus Enzweiler
Johann Marius Zöllner
3DPC
18
15
0
28 Jun 2019
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels
A. Poulenard
Marie-Julie Rakotosaona
Yann Ponty
M. Ovsjanikov
3DPC
25
102
0
27 Jun 2019
A Convolutional Decoder for Point Clouds using Adaptive Instance
  Normalization
A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization
I. Lim
Moritz Ibing
Leif Kobbelt
3DPC
3DV
27
15
0
27 Jun 2019
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology
  Inference and Filtering
Deep Unsupervised Learning of 3D Point Clouds via Graph Topology Inference and Filtering
Siheng Chen
Chaojing Duan
Yaoqing Yang
Duanshun Li
Chen Feng
Dong Tian
3DPC
29
71
0
11 May 2019
3D Point Cloud Denoising via Deep Neural Network based Local Surface
  Estimation
3D Point Cloud Denoising via Deep Neural Network based Local Surface Estimation
Chaojing Duan
Siheng Chen
J. Kovacevic
3DPC
27
62
0
09 Apr 2019
PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point
  Clouds
PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds
Marie-Julie Rakotosaona
Vittorio La Barbera
Paul Guerrero
Niloy J. Mitra
M. Ovsjanikov
3DPC
16
299
0
04 Jan 2019
Deep Geometric Prior for Surface Reconstruction
Deep Geometric Prior for Surface Reconstruction
Francis Williams
T. Schneider
Claudio Silva
Denis Zorin
Joan Bruna
Daniele Panozzo
3DPC
16
190
0
27 Nov 2018
Hierarchical Bipartite Graph Convolution Networks
Hierarchical Bipartite Graph Convolution Networks
Marcel Nassar
GNN
17
18
0
17 Nov 2018
Deep Semantic Instance Segmentation of Tree-like Structures Using
  Synthetic Data
Deep Semantic Instance Segmentation of Tree-like Structures Using Synthetic Data
Marco Stricker
Olivier Augereau
Stephen Moore
3DPC
18
11
0
08 Nov 2018
PointGrow: Autoregressively Learned Point Cloud Generation with
  Self-Attention
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention
Yongbin Sun
Yue Wang
Ziwei Liu
J. Siegel
Sanjay E. Sarma
3DPC
28
195
0
12 Oct 2018
Data-driven Upsampling of Point Clouds
Data-driven Upsampling of Point Clouds
Wentai Zhang
Haoliang Jiang
Zhangsihao Yang
Soji Yamakawa
K. Shimada
L. Kara
3DPC
11
30
0
08 Jul 2018
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point
  Clouds
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds
Pedro Hermosilla
Tobias Ritschel
Pere-Pau Vázquez
À. Vinacua
Timo Ropinski
3DPC
6
257
0
05 Jun 2018
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