3D Shape Recognition
13 papers with code • 0 benchmarks • 1 datasets
Image: Wei et al
Benchmarks
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Libraries
Use these libraries to find 3D Shape Recognition models and implementations
Hypersim
Most implemented papers
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks
Many machine learning tasks such as multiple instance learning, 3D shape recognition, and few-shot image classification are defined on sets of instances.
PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition
With the recent proliferation of deep learning, various deep models with different representations have achieved the state-of-the-art performance.
Learning Discriminative 3D Shape Representations by View Discerning Networks
In this network, a Score Generation Unit is devised to evaluate the quality of each projected image with score vectors.
On Learning Sets of Symmetric Elements
Haggaim/On-Learning-Sets-of-Symmetric-Elements
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ICML 2020
We first characterize the space of linear layers that are equivariant both to element reordering and to the inherent symmetries of elements, like translation in the case of images.
MVTN: Multi-View Transformation Network for 3D Shape Recognition
MVTN exhibits clear performance gains in the tasks of 3D shape classification and 3D shape retrieval without the need for extra training supervision.
Beam Search for Learning a Deep Convolutional Neural Network of 3D Shapes
Each state of the beam search corresponds to a candidate CNN.
View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis
weixmath/view-GCN
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CVPR 2020
View-based approach that recognizes 3D shape through its projected 2D images has achieved state-of-the-art results for 3D shape recognition.
Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views
In this way, each 3D shape with arbitrary views is represented by a fixed number of canonical view features, which are further aggregated to generate a rich and robust 3D shape representation for shape recognition.
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation
myavartanoo/PolyNet_PyTorch
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3D shape representation and its processing have substantial effects on 3D shape recognition.
NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments
maria-korosteleva/Garment-Pattern-Estimation
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The fields of SocialVR, performance capture, and virtual try-on are often faced with a need to faithfully reproduce real garments in the virtual world.
