Development and Evaluation of Building Design Support System Using Pix2Pix

Abstract

When creators draw landscape paintings, they often refer to real buildings, but it takes time to find the building that they want. On the other hand, the generative adversarial network (GAN) is one of image generation technologies that have attracted attention in recent years. The Pix2Pix, a derivative technology of GAN, enables image-to-image translation. In this background, we think it is possible to generate design ideas by generating realistic images of buildings from conditional rough images using Pix2Pix, and to shorten the time for them to create new ideas. In this research, we developed a design support system that generates realistic building images in real-time by having system users draw label images. We evaluated usability by System Usability Scale and conducted a questionnaire survey.