Image: Zou et al
|TREND||DATASET||BEST METHOD||PAPER TITLE||PAPER||CODE||COMPARE|
We present a new approach to the problem of estimating the 3D room layout from a single panoramic 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).
We present a deep learning framework, called DuLa-Net, to predict Manhattan-world 3D room layouts from a single RGB panorama.
The problem of 3D layout recovery in indoor scenes has been a core research topic for over a decade.