With the digitization of work production, CG has come to be widely used as a background for movies, game maps, and illustrations. The background CG handled by these is generally produced one by one using CG software. However, when creating background CG with conventional CG software, it is necessary to determine the position of buildings and roads, change the size of the CG model to be placed, and create textures corresponding to each CG model. This requires specialized knowledge and skills, and takes a lot of time and effort. Therefore, we propose an automatic background CG generation system that uses two types of deep learning.
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