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This is done by using semantic segmentation, which eliminates the need to create three-dimensional models of the buildings and the surrounding scenery, and a generative adversarial network (GAN), a deep learning method for generating images. Real-time communication between devices enables users to utilize only portable devices equipped with a camera to visualize the future landscape onsite. As verification of the proposed method\u2019s usefulness, we evaluated the complementation accuracy of the GAN and real-time performance of the entire method. The results indicated that the process is completed accurately when the area to be complemented is less than 15% of the view and that the process runs at 5.71 fps. 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