Recent developments in AR / VR have created new ways of remote communication and collaboration. From education to entertainment, reconstructing the digital version of real environments could enhance extended reality (XR) experiences. When a dedicated depth sensor is used to scan the environment, the result is a point cloud that usually has low resolution, noise, and a high number of points that do not allow a smooth experience in AR /VR applications. To overcome the limitation of a full scan of the environment, several approaches have been introduced following the success of Deep Learning: Single view scene reconstruction relies on a single RGB photo of a scene to reconstruct the environment.