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FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
v1v2 (latest)

FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis

16 June 2017
Nitika Verma
Edmond Boyer
Jakob Verbeek
    3DPCGNN
ArXiv (abs)PDFHTML

Papers citing "FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis"

14 / 14 papers shown
Disentangled Human Body Representation Based on Unsupervised Semantic-Aware Learning
Disentangled Human Body Representation Based on Unsupervised Semantic-Aware Learning
Lu Wang
Xishuai Peng
Siyi Zhou
3DHDRL
171
0
0
25 May 2025
Learning Feature Aggregation for Deep 3D Morphable Models
Learning Feature Aggregation for Deep 3D Morphable ModelsComputer Vision and Pattern Recognition (CVPR), 2021
Zhixiang Chen
Tae-Kyun Kim
3DPC3DH
180
30
0
05 May 2021
Enhance Convolutional Neural Networks with Noise Incentive Block
Enhance Convolutional Neural Networks with Noise Incentive Block
Menghan Xia
Yi Wang
Chu Han
T. Wong
150
1
0
09 Dec 2020
Learning Diverse Fashion Collocation by Neural Graph Filtering
Learning Diverse Fashion Collocation by Neural Graph FilteringIEEE transactions on multimedia (TMM), 2020
Xin Liu
Yongbin Sun
Ziwei Liu
Dahua Lin
197
27
0
11 Mar 2020
The Whole Is Greater Than the Sum of Its Nonrigid Parts
The Whole Is Greater Than the Sum of Its Nonrigid Parts
Oshri Halimi
I. Imanuel
Or Litany
Giovanni Trappolini
Emanuele Rodolà
Leonidas Guibas
Ron Kimmel
3DPC3DV
182
11
0
27 Jan 2020
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature
  Modeling
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature ModelingAAAI Conference on Artificial Intelligence (AAAI), 2019
Wenkai Han
Chenglu Wen
Cheng-Yu Wang
Xin Li
Qing Li
3DPC
128
99
0
23 Dec 2019
Single Image 3D Hand Reconstruction with Mesh Convolutions
Single Image 3D Hand Reconstruction with Mesh ConvolutionsBritish Machine Vision Conference (BMVC), 2019
Dominik Kulon
Haoyang Wang
R. Güler
M. Bronstein
Stefanos Zafeiriou
3DH
281
62
0
04 May 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
Zheng Ma
Ming Li
Yuguang Wang
GNN
144
24
0
24 Apr 2019
Generating 3D faces using Convolutional Mesh Autoencoders
Generating 3D faces using Convolutional Mesh Autoencoders
Anurag Ranjan
Timo Bolkart
Soubhik Sanyal
Michael J. Black
CVBM3DH
395
612
0
26 Jul 2018
Attention-based Graph Neural Network for Semi-supervised Learning
Attention-based Graph Neural Network for Semi-supervised Learning
K. K. Thekumparampil
Chong-Jun Wang
Sewoong Oh
Li Li
GNN
227
364
0
10 Mar 2018
DGCNN: Disordered Graph Convolutional Neural Network Based on the
  Gaussian Mixture Model
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model
Bo Wu
Yang Liu
B. Lang
Lei Huang
143
74
0
10 Dec 2017
Deformable Shape Completion with Graph Convolutional Autoencoders
Deformable Shape Completion with Graph Convolutional Autoencoders
Or Litany
A. Bronstein
M. Bronstein
A. Makadia
430
237
0
01 Dec 2017
Variational Autoencoders for Deforming 3D Mesh Models
Variational Autoencoders for Deforming 3D Mesh Models
Qingyang Tan
Lin Gao
Yu-kun Lai
Shi-hong Xia
AI4CE
220
214
0
13 Sep 2017
Graph Convolution: A High-Order and Adaptive Approach
Graph Convolution: A High-Order and Adaptive Approach
Zhenpeng Zhou
Xiaocheng Li
GNN
212
25
0
29 Jun 2017
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