3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform. (arXiv:2207.09291v1 [cs.CV])

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 estimate the
walls in 3D space by modeling long-range geometric patterns in a learnable
Hough Transform block. 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. The convolutional layers not only …

3d arxiv cv image panorama