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IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding
  Alignment

IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment

22 March 2022
Yiming Zeng
Y. Qian
Qijian Zhang
Junhui Hou
Yixuan Yuan
Ying He
    3DPC
ArXiv (abs)PDFHTMLGithub (86★)

Papers citing "IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment"

15 / 15 papers shown
Title
NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation
NeuroGauss4D-PCI: 4D Neural Fields and Gaussian Deformation Fields for Point Cloud Interpolation
Chaokang Jiang
Dalong Du
Jiuming Liu
Siting Zhu
Zhenqiang Liu
Zhuang Ma
Zhujin Liang
Jie Zhou
72
3
0
23 May 2024
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
Hehe Fan
Xin Yu
Yuhang Ding
Yi Yang
Mohan Kankanhalli
3DPC
176
113
0
27 May 2022
PointINet: Point Cloud Frame Interpolation Network
PointINet: Point Cloud Frame Interpolation Network
Fan Lu
Guang Chen
Sanqing Qu
Zhijun Li
Yinlong Liu
Alois C. Knoll
3DPC
79
26
0
18 Dec 2020
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
Davis Rempe
Tolga Birdal
Yongheng Zhao
Zan Gojcic
Srinath Sridhar
Leonidas Guibas
3DPC
110
72
0
06 Aug 2020
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation
Marie-Julie Rakotosaona
M. Ovsjanikov
3DPC
38
14
0
03 Apr 2020
PointRNN: Point Recurrent Neural Network for Moving Point Cloud
  Processing
PointRNN: Point Recurrent Neural Network for Moving Point Cloud Processing
Hehe Fan
Yezhou Yang
3DPC
63
88
0
18 Oct 2019
KPConv: Flexible and Deformable Convolution for Point Clouds
KPConv: Flexible and Deformable Convolution for Point Clouds
Hugues Thomas
C. Qi
Jean-Emmanuel Deschaud
B. Marcotegui
F. Goulette
Leonidas Guibas
3DPC
171
2,546
0
18 Apr 2019
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
Chris Choy
JunYoung Gwak
Silvio Savarese
3DPC
170
1,796
0
18 Apr 2019
PhaseNet for Video Frame Interpolation
PhaseNet for Video Frame Interpolation
Simone Schaub-Meyer
Abdelaziz Djelouah
Brian McWilliams
A. Sorkine-Hornung
Markus Gross
Christopher Schroers
64
181
0
03 Apr 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
260
6,177
0
24 Jan 2018
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for
  Video Interpolation
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Huaizu Jiang
Deqing Sun
Varun Jampani
Ming-Hsuan Yang
Erik Learned-Miller
Jan Kautz
122
788
0
30 Nov 2017
Video Frame Interpolation via Adaptive Separable Convolution
Video Frame Interpolation via Adaptive Separable Convolution
Simon Niklaus
Long Mai
Feng Liu
111
700
0
05 Aug 2017
Video Frame Interpolation via Adaptive Convolution
Video Frame Interpolation via Adaptive Convolution
Simon Niklaus
Long Mai
Feng Liu
79
503
0
22 Mar 2017
Video Frame Synthesis using Deep Voxel Flow
Video Frame Synthesis using Deep Voxel Flow
Ziwei Liu
Raymond A. Yeh
Xiaoou Tang
Yiming Liu
A. Agarwala
102
748
0
08 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 Guibas
3DH3DPC3DVPINN
500
14,371
0
02 Dec 2016
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