3D Room Layouts From A Single RGB Panorama
5 papers with code • 3 benchmarks • 2 datasets
Image: Zou et al
Most implemented papers
Corners 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.
LayoutNet: 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).
DuLa-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.
HorizonNet: 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.
HoHoNet: 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).