Papers 3D Room Layouts From A Single RGB Panorama
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3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform
Significant geometric structures can be compactly described by global wireframes in the estimation of 3D room layout from a single panoramic image. Based on this observation, we present an alternative approach to estimat…
3D Room Layouts From A Single RGB PanoramaRoom Layout EstimationOmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas
Given a single RGB panorama, the goal of 3D layout reconstruction is to estimate the room layout by predicting the corners, floor boundary, and ceiling boundary. A common approach has been to use standard convolutional n…
3D Room Layouts From A Single RGB PanoramaLED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering
Although significant progress has been made in room layout estimation, most methods aim to reduce the loss in the 2D pixel coordinate rather than exploiting the room structure in the 3D space. Towards reconstructing the …
3D Room Layouts From A Single RGB PanoramaDepth EstimationDepth PredictionRoom Layout EstimationSSLayout360: Semi-Supervised Indoor Layout Estimation from 360-Degree Panorama
Recent years have seen flourishing research on both semi-supervised learning and 3D room layout reconstruction. In this work, we explore the intersection of these two fields to advance the research objective of enabling …
3D Room Layouts From A Single RGB PanoramaHoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features
We present HoHoNet, a versatile and efficient framework for holistic understanding of an indoor 360-degree panorama using a Latent Horizontal Feature (LHFeat). The compact LHFeat flattens the features along the vertical …
3D Room Layouts From A Single RGB PanoramaDepth EstimationSemantic SegmentationAtlantaNet: Inferring the 3D Indoor Layout from a Single 360(∘) Image beyond the Manhattan World Assumption
We introduce a novel end-to-end approach to predict a 3D room layout from a single panoramic image. Compared to recent state-of-the-art works, our method is not limited to Manhattan World environments, and can reconstruc…
3D Room Layouts From A Single RGB PanoramaDecoderCorners for Layout: End-to-End Layout Recovery from 360 Images
The problem of 3D layout recovery in indoor scenes has been a core research topic for over a decade. However, there are still several major challenges that remain unsolved. Among the most relevant ones, a major part of t…
3D Room Layouts From A Single RGB PanoramaRobot NavigationHorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation
We present a new approach to the problem of estimating the 3D room layout from a single panoramic image. We represent room layout as three 1D vectors that encode, at each image column, the boundary positions of floor-wal…
3D Room Layouts From A Single RGB PanoramaData AugmentationDuLa-Net: A Dual-Projection Network for Estimating Room Layouts from a Single RGB Panorama
We present a deep learning framework, called DuLa-Net, to predict Manhattan-world 3D room layouts from a single RGB panorama. To achieve better prediction accuracy, our method leverages two projections of the panorama at…
3D Room Layouts From A Single RGB PanoramaDecoderLayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image
We propose an algorithm to predict room layout from a single image that generalizes across panoramas and perspective images, cuboid layouts and more general layouts (e.g. L-shape room). Our method operates directly on th…
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