3D Shape Recognition

10 papers with code • 0 benchmarks • 1 datasets

Image: Wei et al

Datasets


Most implemented papers

Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks

juho-lee/set_transformer 1 Oct 2018

Many machine learning tasks such as multiple instance learning, 3D shape recognition, and few-shot image classification are defined on sets of instances.

Learning Discriminative 3D Shape Representations by View Discerning Networks

chengz3906/View-Discerning-Network 11 Aug 2018

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 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.

View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis

weixmath/view-GCN 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.

MVTN: Multi-View Transformation Network for 3D Shape Recognition

ajhamdi/MVTN ICCV 2021

MVTN exhibits clear performance gains in the tasks of 3D shape classification and 3D shape retrieval without the need for extra training supervision.

Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views

weixmath/cvr ICCV 2021

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 15 Oct 2021

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 31 Jan 2022

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.

Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition

axeber01/point-tnt 8 Apr 2022

While the Transformer architecture has become ubiquitous in the machine learning field, its adaptation to 3D shape recognition is non-trivial.