Semantic Room Wireframe Detection from a Single View
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Abstract (arXiv)
Reconstruction of indoor surfaces with limited texture information or with repeated textures, a situation common in walls and ceilings, may be difficult with a monocular Structure from Motion system. We propose a Semantic Room Wireframe Detection task to predict a Semantic Wireframe from a single perspective image. Such predictions may be used with shape priors to estimate the Room Layout and aid reconstruction. To train and test the proposed algorithm we create a new set of annotations from the simulated Structured3D dataset. We show qualitatively that the SRW-Net handles complex room geometries better than previous Room Layout Estimation algorithms while quantitatively out-performing the baseline in non-semantic Wireframe Detection.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 24 of its 46 references that are in the map. First posted on arXiv 1 Jun 2022.
Builds on
24 of 46 references.
References · 24
- 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,282
- 2017ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenescited by 3,088
- 2015LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loopcited by 1,350
- 2016Stacked Hourglass Networks for Human Pose Estimationcited by 913
- 2017Joint 2D-3D-Semantic Data for Indoor Scene Understandingcited by 404
- 2019Structured3D: A Large Photo-realistic Dataset for Structured 3D Modelingcited by 285
- 2019HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentationcited by 107
- 2018LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Imagecited by 94
- 2019End-to-End Wireframe Parsingcited by 72
- 2020Learning to Parse Wireframes in Images of Man-Made Environmentscited by 71
- 2018DuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panoramacited by 67
- 2020Holistically-Attracted Wireframe Parsingcited by 63
12 more
- 2019Corners for Layout: End-to-End Layout Recovery from 360 Imagescited by 55
- 2018Learning Attraction Field Representation for Robust Line Segment Detectioncited by 52
- 2017RoomNet: End-to-End Room Layout Estimationcited by 38
- 2017Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimationcited by 29
- 2020General 3D Room Layout from a Single View by Render-and-Comparecited by 21
- 2016A Coarse-to-Fine Indoor Layout Estimation (CFILE) Methodcited by 15
- 2020LGNN: A Context-aware Line Segment Detectorcited by 15
- 2019Learning Regional Attraction for Line Segment Detectioncited by 13
- 2019Thinking Outside the Box: Generation of Unconstrained 3D Room Layoutscited by 10
- 2021Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Imagecited by 7
- 2019Edge-Semantic Learning Strategy for Layout Estimation in Indoor Environmentcited by 6
- 2019Sem-LSD: A Learning-based Semantic Line Segment Detectorcited by 4
Built on by
Citing papers per year: 2023: 2; 2024: 1; 2025: 1.
4 papers.
- 2023A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challengescited by 6
- 2023Polygon Detection for Room Layout Estimation using Heterogeneous Graphs and Wireframescited by 6
- 2024Enhancing Surveillance Camera FOV Quality via Semantic Line Detection and Classification with Deep Hough Transformcited by 0
- 2025Ev-Layout: A Large-scale Event-based Multi-modal Dataset for Indoor Layout Estimation and Trackingcited by 0
- 2025Ev-Layout: A Large-scale Event-based Multi-modal Dataset for Indoor Layout Estimation and Tracking11 Mar 2025
- 2024Enhancing Surveillance Camera FOV Quality via Semantic Line Detection and Classification with Deep Hough Transform17 Jan 2024
- 2023Polygon Detection for Room Layout Estimation using Heterogeneous Graphs and Wireframes21 Jun 2023
- 2023A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges29 Apr 2023