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MGCN: Descriptor Learning using Multiscale GCNs
v1v2v3 (latest)

MGCN: Descriptor Learning using Multiscale GCNs

ACM Transactions on Graphics (TOG), 2020
28 January 2020
Yiqun Wang
Jing Ren
Dong‐Ming Yan
Jianwei Guo
Xiaopeng Zhang
Peter Wonka
ArXiv (abs)PDFHTML

Papers citing "MGCN: Descriptor Learning using Multiscale GCNs"

4 / 4 papers shown
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape
  Correspondence
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape CorrespondenceIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Mohammad Farazi
Wenjie Zhu
Zhangsihao Yang
Yalin Wang
3DPC
233
5
0
17 Oct 2022
Deep Virtual Markers for Articulated 3D Shapes
Deep Virtual Markers for Articulated 3D Shapes
Hyomin Kim
Jungeon Kim
Jaewon Kam
Jaesik Park
Seungyong Lee
3DPC3DV
271
9
0
20 Aug 2021
Correspondence Learning via Linearly-invariant Embedding
Correspondence Learning via Linearly-invariant EmbeddingNeural Information Processing Systems (NeurIPS), 2020
R. Marin
Marie-Julie Rakotosaona
Simone Melzi
M. Ovsjanikov
3DPC
209
75
0
25 Oct 2020
SpectralWeight: a spectral graph wavelet framework for weight prediction
  of pork cuts
SpectralWeight: a spectral graph wavelet framework for weight prediction of pork cuts
M. Masoumi
M. Marcoux
L. Maignel
C. Pomar
102
0
0
20 Apr 2020
1
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