Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Keywords
shape correspondence
55 papers
Explore in graph
Co-occurring keywords
point cloud
(1479)
3d vision
(1098)
functional map
(33)
shape matching
(65)
unsupervised learning
(3255)
geometric deep learning
(116)
3d shape
(96)
dense correspondence
(97)
non-rigid matching
(13)
graph neural network
(3945)
Papers
Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching
NIPS 2022
A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching
CVPR 2022
Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps
CVPR 2021
Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence
ICCV 2021
Efficient Deformable Shape Correspondence via Multiscale Spectral Manifold Wavelets Preservation
CVPR 2021
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go
CVPR 2021
Discovering Relationships Between Object Categories via Universal Canonical Maps
CVPR 2021
Geometrically Principled Connections in Graph Neural Networks
CVPR 2020
Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment
CVPR 2020
Shape correspondence using anisotropic Chebyshev spectral CNNs
CVPR 2020
Learning to Transfer Texture From Clothing Images to 3D Humans
CVPR 2020
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
NIPS 2020
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence
CVPR 2020
Unsupervised Learning of Intrinsic Structural Representation Points
CVPR 2020
Smooth Shells: Multi-Scale Shape Registration With Functional Maps
CVPR 2020
Learning an Effective Equivariant 3D Descriptor Without Supervision
ICCV 2019
Unsupervised Learning of Dense Shape Correspondence
CVPR 2019
SplineCNN: Fast Geometric Deep Learning With Continuous B-Spline Kernels
CVPR 2018
4D Human Body Correspondences From Panoramic Depth Maps
CVPR 2018
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
CVPR 2018
DenseReg: Fully Convolutional Dense Shape Regression In-The-Wild
CVPR 2017
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space
CVPR 2017
Learning shape correspondence with anisotropic convolutional neural networks
NIPS 2016
Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence
CVPR 2016
Estimating Correspondences of Deformable Objects "In-The-Wild"
CVPR 2016
<
1
2
3
>