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3D Shape Analysis

5 papers with code · Computer Vision
Subtask of 3D

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Latest papers with code

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

276
21 Sep 2018

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

360
16 Sep 2018

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

6
26 Jul 2018

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

29
16 Jun 2017

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

1
25 Nov 2016