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3D Shape Analysis

5 papers with code · Computer Vision
Subtask of 3D

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Greatest papers with code

MeshCNN: A Network with an Edge

16 Sep 2018ranahanocka/MeshCNN

In this paper, we utilize the unique properties of the mesh for a direct analysis of 3D shapes using MeshCNN, a convolutional neural network designed specifically for triangular meshes.

3D PART SEGMENTATION 3D SHAPE ANALYSIS CUBE ENGRAVING CLASSIFICATION

Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes

21 Sep 2018Microsoft/O-CNN

The Adaptive O-CNN encoder takes the planar patch normal and displacement as input and performs 3D convolutions only at the octants at each level, while the Adaptive O-CNN decoder infers the shape occupancy and subdivision status of octants at each level and estimates the best plane normal and displacement for each leaf octant.

3D SHAPE ANALYSIS

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

CVPR 2018 nitika-verma/FeaStNet

Convolutional neural networks (CNNs) have massively impacted visual recognition in 2D images, and are now ubiquitous in state-of-the-art approaches.

3D SHAPE ANALYSIS

Perturbation Robust Representations of Topological Persistence Diagrams

ECCV 2018 anirudhsom/Perturbed-Topological-Signature

However, persistence diagrams are multi-sets of points and hence it is not straightforward to fuse them with features used for contemporary machine learning tools like deep-nets.

3D SHAPE ANALYSIS

Geometric deep learning on graphs and manifolds using mixture model CNNs

CVPR 2017 HeapHop30/graph-attention-nets

Recently, there has been an increasing interest in geometric deep learning, attempting to generalize deep learning methods to non-Euclidean structured data such as graphs and manifolds, with a variety of applications from the domains of network analysis, computational social science, or computer graphics.

3D SHAPE ANALYSIS DOCUMENT CLASSIFICATION OBJECT DETECTION SPEECH RECOGNITION