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3D Shape Analysis

5 papers with code ยท Computer Vision
Subtask of 3D

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Mesh Variational Autoencoders with Edge Contraction Pooling

7 Aug 2019

3D shape analysis is an important research topic in computer vision and graphics.

3D SHAPE ANALYSIS

Learning Part Generation and Assembly for Structure-aware Shape Synthesis

16 Jun 2019

Enlightened by the common view that 3D shape structure is characterized as part composition and placement, we propose to model 3D shape variations with a part-aware deep generative network which we call PAGENet.

3D SHAPE ANALYSIS

Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views

18 May 2019

In contrast, we propose a deep neural network, called Parts4Feature, to learn 3D global features from part-level information in multiple views.

3D SHAPE ANALYSIS

3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention

17 May 2019

Then, the content and spatial information of each pair of view nodes are encoded by a novel spatial pattern correlation, where the correlation is computed among latent semantic patterns.

3D SHAPE ANALYSIS

Deep Learning 3D Shapes Using Alt-az Anisotropic 2-Sphere Convolution

ICLR 2019

The ground-breaking performance obtained by deep convolutional neural networks (CNNs) for image processing tasks is inspiring research efforts attempting to extend it for 3D geometric tasks.

3D SHAPE ANALYSIS

Volumetric Convolution: Automatic Representation Learning in Unit Ball

ICLR 2019

Convolution is an efficient technique to obtain abstract feature representations using hierarchical layers in deep networks.

3D OBJECT RECOGNITION 3D SHAPE ANALYSIS REPRESENTATION LEARNING

3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and Translation

1 May 2019

As a result, linear methods such as Principal Component Analysis (PCA) have been mainly utilized towards 3D shape analysis, despite being unable to capture non-linearities and high frequency details of the 3D face - such as eyelid and lip variations.

3D SHAPE ANALYSIS 3D SHAPE REPRESENTATION IMAGE GENERATION IMPUTATION SUPER RESOLUTION

Non-rigid 3D shape retrieval based on multi-view metric learning

20 Mar 2019

The different intrinsic representations (features) focus on different geometric properties to describe the same 3D shape, which makes the representations are related.

3D SHAPE ANALYSIS 3D SHAPE RETRIEVAL METRIC LEARNING

Volumetric Convolution: Automatic Representation Learning in Unit Ball

ICLR 2019

Convolution is an efficient technique to obtain abstract feature representations using hierarchical layers in deep networks.

3D OBJECT RECOGNITION 3D SHAPE ANALYSIS REPRESENTATION LEARNING

A Survey on Non-rigid 3D Shape Analysis

25 Dec 2018

In this chapter, we focus on recent techniques that treated the shape of 3D objects as points in some high dimensional space where paths describe deformations.

3D SHAPE ANALYSIS