Room Layout Estimation
17 papers with code • 1 benchmarks • 4 datasets
Latest papers
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.
Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with Cross-Scale Distortion Awareness
Based on the Manhattan World assumption, most existing indoor layout estimation schemes focus on recovering layouts from vertically compressed 1D sequences.
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.
3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform
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.
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.
LGT-Net: Indoor Panoramic Room Layout Estimation with Geometry-Aware Transformer Network
We present that using horizon-depth along with room height can obtain omnidirectional-geometry awareness of room layout in both horizontal and vertical directions.
PQ-Transformer: Jointly Parsing 3D Objects and Layouts from Point Clouds
Such a scheme has two limitations: 1) Storing and running several networks for different tasks are expensive for typical robotic platforms.
Zillow Indoor Dataset: Annotated Floor Plans With 360deg Panoramas and 3D Room Layouts
We present Zillow Indoor Dataset (ZInD): A large indoor dataset with 71, 474 panoramas from 1, 524 real unfurnished homes.
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object Detection
To address this problem, we propose ImVoxelNet, a novel fully convolutional method of 3D object detection based on monocular or multi-view RGB images.
Learning to Reconstruct 3D Non-Cuboid Room Layout from a Single RGB Image
Single-image room layout reconstruction aims to reconstruct the enclosed 3D structure of a room from a single image.