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We propose a novel method for panoramic 3D scene understanding which recovers the 3D room layout and the shape, pose, position, and semantic category for each object from a single full-view panorama image.

We present a new pipeline which takes a single image as input, estimates layout and object poses, then reconstructs the scene with Signed Distance Function (SDF) representation.