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We propose a novel FCN able to work with omnidirectional images that outputsaccurate probability maps representing the main structure of indoor scenes,which is able to generalize on different data. Our approach handles occlusionsand recovers complex shaped rooms more faithful to the actual shape of the realscenes. We outperform the state of the art not only in accuracy of the 3Dmodels but also in speed.

PanoRoom: From the Sphere to the 3D Layout