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<img height="23" src="https://github.com/lh9171338/Outline/blob/master/icon.jpg"/> Line Segment Detection Papers

A collection of line segment detection papers (a.k.a. wireframe parsing).

Outline

Deep-Learning Based Approaches
- Line Segment Detection
- Wireframe Parsing
Traditional approaches
Survey
Datasets

1. Deep Learning-Based Approaches

1.1 Line Segment Detection

Name	Paper	Source	Resource
AirLine	AirLine: Efficient Learnable Line Detection with Local Edge Voting	arXiv 2023	[Code]
GLSP	Parsing Line Segments of Floor Plan Images Using Graph Neural Networks	arXiv 2023
DeepLSD	DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients	CVPR 2023	[Code]
LSDNet	LSDNet: Trainable Modification of LSD Algorithm for Real-Time Line Segment Detection	Access 2022	[Code]
M-LSD	Towards Real-time and Light-weight Line Segment Detection	AAAI 2022	[Code]
ELSD	ELSD: Efficient Line Segment Detector and Descriptor	ICCV 2021	[Code]
F-Clip	Fully Convolutional Line Parsing	ArXiv 2021	[Code]
LETR	Line Segment Detection Using Transformers without Edges	CVPR 2021	[Code]
LS-Net	LS-Net: fast single-shot line-segment detector	MVA 2021
TP-LSD	TP-LSD: Tri-Points Based Line Segment Detector	ECCV 2020	[Code]
LaRecNet	Learning to Calibrate Straight Lines for Fisheye Image Rectification	CVPR 2019	[Project]
AFM	Learning Attraction Field Representation for Robust Line Segment Detection	CVPR 2019	[Code]
Sem-LSD	Sem-LSD: A Learning-based Semantic Line Segment Detector	arXiv 2019	[Code]

1.2 Wireframe Parsing

Name	Paper	Source	Resource
HAWPv3	Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning	TPAMI 2023	[Code]
MSACWP	Multi-scale Structural Asymmetric Convolution for Wireframe Parsing	ICONIP 2023
	One-Stage Wireframe Parsing in Fish-Eye Images	PRCV 2023
NEAT	Volumetric Wireframe Parsing from Neural Attraction Fields	arXiv 2023
HoW-3D	HoW-3D: Holistic 3D Wireframe Perception from a Single Image	3DV 2022	[Code]
SRW-Net	Semantic Room Wireframe Detection from a Single View	ICPR 2022	[Code]
	Hole-robust Wireframe Detection	WACV 2022	[Code]
SOLD2	SOLD2: Self-supervised Occlusion-aware Line Description and Detection	CVPR 2021	[Code]
ULSD	ULSD: Unified Line Segment Detection across Pinhole, Fisheye, and Spherical Cameras	ISPRS 2021	[Code]
HT-HAWP	Deep Hough-Transform Line Priors	ECCV 2020	[Code]
LGNN	LGNN: A Context-aware Line Segment Detector	ACM MM 2020
HAWP	Holistically-Attracted Wireframe Parsing	CVPR 2020	[Code]
PPGNet	PPGNet: Learning Point-Pair Graph for Line Segment Detection	CVPR 2019	[Code]
	Learning to Reconstruct 3D Manhattan Wireframes from a Single Image	ICCV 2019	[Project]
	Wireframe Parsing With Guidance of Distance Map	Access 2019
L-CNN	End-to-End Wireframe Parsing	ICCV 2019	[Code]
DWP	Learning to Parse Wireframes in Images of Man-Made Environments	CVPR 2018	[Code]

2. Traditional Approaches

Name	Paper	Source	Resource
	A Novel Pixel Orientation Estimation Based Line Segment Detection Framework, and Its Applications to SAR Images	TRGS 2022	[Code]
PSLine	Property Similarity Line Segment Detector	IST 2021
ELSED	ELSED: Enhanced Line SEgment Drawing	arXiv 2021	[Code]
PLSD	PLSD: A Perceptually Accurate Line Segment Detection Approach	Access 2020
MCMLSD	MCMLSD: A Probabilistic Algorithm and Evaluation Framework for Line Segment Detection	arXiv 2020
Linelet	A Novel Linelet-based Representation for Line Segment Detection	TPAMI 2017	[Code]
MCMLSD	MCMLSD: A Dynamic Programming Approach to Line Segment Detection	CVPR 2017	[Code]
CannyLines	Cannylines: A parameter-free line segment detector	ICIP 2015	[Project]
	Accurate and robust line segment extraction using minimum entropy with hough transform	TIP 2015
	Lifting 3D manhattan lines from a single image	ICCV 2013
LSD	LSD: A Fast Line Segment Detector with a False Detection Control	TPAMI 2010	[Code]
PPHT	Robustdetection of lines using the progressive probabilistic hough transform	CVIU 2000
	Generalizing the hough transform to detect arbitrary shapes	PR 1981

3. Survey

Name	Paper	Source	Resource
	A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges	arXiv 2023

4. Datasets