Symmetry Detection

15 papers with code • 1 benchmarks • 5 datasets

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Most implemented papers

DeepFlux for Skeletons in the Wild

YukangWang/DeepFlux CVPR 2019

In the present article, we depart from this strategy by training a CNN to predict a two-dimensional vector field, which maps each scene point to a candidate skeleton pixel, in the spirit of flux-based skeletonization algorithms.

Symmetry Detection of Occluded Point Cloud Using Deep Learning

Allen--Wu/Symmetry-Detection-of-Occluded-Point-Cloud-Using-Deep-Learning 14 Mar 2020

Symmetry detection has been a classical problem in computer graphics, many of which using traditional geometric methods.

E3Sym: Leveraging E(3) Invariance for Unsupervised 3D Planar Reflective Symmetry Detection

renwuli/e3sym ICCV 2023

E3Sym establishes robust point correspondences through the use of E(3) invariant features extracted from a lightweight neural network, from which the dense symmetry prediction is produced.

A convolutional approach to reflection symmetry

cicconet/SymmetryAxes 17 Sep 2016

We present a convolutional approach to reflection symmetry detection in 2D.

SRN: Side-output Residual Network for Object Symmetry Detection in the Wild

KevinKecc/SRN CVPR 2017

By stacking RUs in a deep-to-shallow manner, SRN exploits the 'flow' of errors among multiple scales to ease the problems of fitting complex outputs with limited layers, suppressing the complex backgrounds, and effectively matching object symmetry of different scales.

Wavelet-based Reflection Symmetry Detection via Textural and Color Histograms

mawady/ColorSymDetect 10 Jul 2017

Symmetry is one of the significant visual properties inside an image plane, to identify the geometrically balanced structures through real-world objects.

SRN: Side-output Residual Network for Object Reflection Symmetry Detection and Beyond

KevinKecc/SRN 17 Jul 2018

The end-to-end deep learning approach, referred to as a side-output residual network (SRN), leverages the output residual units (RUs) to fit the errors between the object ground-truth symmetry and the side-outputs of multiple stages.

Symmetry Detection and Classification in Drawings of Graphs

enggiqbal/mlsymmetric 1 Jul 2019

Finally, we make available a collection of images of graph drawings with specific symmetric features that can be used in machine learning systems for training, testing and validation purposes.

PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models

IGLICT/PRS-Net 15 Oct 2019

In this paper, we present a novel learning framework to automatically discover global planar reflective symmetry of a 3D shape.

Data Augmentation through Expert-guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning

giorgioangel/dsym 18 Dec 2021

Offline estimation of the dynamical model of a Markov Decision Process (MDP) is a non-trivial task that greatly depends on the data available in the learning phase.