Room Layout Estimation
17 papers with code • 1 benchmarks • 4 datasets
SUN RGB-D
Structured3D
Rent3D
Most implemented papers
PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds
open-air-sun/pq-transformer
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Such a scheme has two limitations: 1) Storing and running several networks for different tasks are expensive for typical robotic platforms.
LGT-Net: Indoor Panoramic Room Layout Estimation with Geometry-Aware Transformer Network
zhigangjiang/LGT-Net
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CVPR 2022
We present that using horizon-depth along with room height can obtain omnidirectional-geometry awareness of room layout in both horizontal and vertical directions.
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.
3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform
starrah/dmh-net
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We transform the image feature from a cubemap tile to the Hough space of a Manhattan world and directly map the feature to the geometric output.
From Semi-supervised to Omni-supervised Room Layout Estimation Using Point Clouds
But adapting this scheme to the state-of-the-art (SOTA) solution for PC-based layout estimation is not straightforward.
Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with Cross-Scale Distortion Awareness
zhijieshen-bjtu/dopnet
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CVPR 2023
Based on the Manhattan World assumption, most existing indoor layout estimation schemes focus on recovering layouts from vertically compressed 1D sequences.
Polygon Detection for Room Layout Estimation using Heterogeneous Graphs and Wireframes
This paper presents a neural network based semantic plane detection method utilizing polygon representations.
