Abstract: Provided in embodiments of the disclosure are methods, apparatuses, and devices for spatial modeling. In one embodiment, a method comprises acquiring a panoramic image captured in a space; determining wall lines in the panoramic image based on Manhattan-World structural features of wall surfaces; and constructing a three-dimensional model for the space based on the wall lines.

Abstract: Provided in embodiments of the disclosure are methods, apparatuses, and devices for spatial modeling. In one embodiment, a method comprises acquiring a panoramic image captured in a space; determining wall lines in the panoramic image based on Manhattan-World structural features of wall surfaces; and constructing a three-dimensional model for the space based on the wall lines.

Abstract: Disclosed is a system and method for generating intermediate views between two received images. To generate the intermediate views, a rectification network rectifies the two images and an encoder network encodes the two rectified images to generate convolutional neural network features. The convolutional neural network features are fed to a decoder network that decodes the features to generate a correspondence between the two rectified images and blending masks to predict the visibility of pixels of the rectified images in the intermediate view images. Using the correspondence between the two rectified images and blending masks, a view morphing network synthesizes intermediate view images depicting an object in the two images in a view between the two images.

Abstract: Disclosed is a system and method for generating intermediate views between two received images. To generate the intermediate views, a rectification network rectifies the two images and an encoder network encodes the two rectified images to generate convolutional neural network features. The convolutional neural network features are fed to a decoder network that decodes the features to generate a correspondence between the two rectified images and blending masks to predict the visibility of pixels of the rectified images in the intermediate view images. Using the correspondence between the two rectified images and blending masks, a view morphing network synthesizes intermediate view images depicting an object in the two images in a view between the two images.