Wireframe Parsing
6 papers with code • 0 benchmarks • 0 datasets
Detect Line Segments and their connecting Junctions in a single perspective image.
Benchmarks
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Most implemented papers
End-to-End Wireframe Parsing
zhou13/lcnn
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ICCV 2019
We conduct extensive experiments and show that our method significantly outperforms the previous state-of-the-art wireframe and line extraction algorithms.
Holistically-Attracted Wireframe Parsing
For computing line segment proposals, a novel exact dual representation is proposed which exploits a parsimonious geometric reparameterization for line segments and forms a holistic 4-dimensional attraction field map for an input image.
SOLD2: Self-supervised Occlusion-aware Line Description and Detection
We thus hereby introduce the first joint detection and description of line segments in a single deep network.
Semantic Room Wireframe Detection from a Single View
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.
Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning
cherubicXN/hawp
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This article presents Holistically-Attracted Wireframe Parsing (HAWP), a method for geometric analysis of 2D images containing wireframes formed by line segments and junctions.
Detecting Line Segments in Motion-blurred Images with Events
lh9171338/FE-LSD
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To robustly detect line segments over motion blurs, we propose to leverage the complementary information of images and events.
