Abstract: Various implementations relate to methods, systems, and computer-readable media to generate view consistent textures for three-dimensional (3D) objects. In some implementations, a method includes generating a plurality of depth maps based on a 3D mesh of a 3D object, wherein each of the plurality of depth maps is associated with a respective view of the 3D object. The method further includes receiving a description of a texture and generating two or more views of a texture map for the 3D object with a generative machine-learning (genML) model. The plurality of depth maps and a text prompt based on the description are provided as input to the genML model. Each view of the texture map at least partially covers the 3D mesh. The method further includes combining the two or more views of the texture map based on the 3D mesh to obtain the texture map for the 3D object.

Abstract: The present disclosure provides a visual navigation method and system for mobile devices based on QR code signposts. The visual navigation method for movement includes: autonomously planning an optimal route according to a destination specified by a user, performing positioning in an image captured by a trolley camera and recognizing signpost information, and adjusting a pose according to the signpost information and going to a signpost in the path. In this process, positioning is performed in real time and route planning is updated, and a user may change the destination at any time in a trolley navigation process according to a robust anomaly recovery decision. The method disclosed by the present disclosure not only proposes an indoor navigation solution that does not rely on a GPS signal and strong computation resources, but also can effectively meet an indoor scheduling scenario in which a path needs to be planned intelligently.