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http://dx.doi.org/10.13161/kibim.2021.11.2.054

A Study on Architectural Image Generation using Artificial Intelligence Algorithm - A Fundamental Study on the Generation of Due Diligence Images Based on Architectural Sketch -  

Han, Sang-Kook (단국대학교 건축학과)
Shin, Dong-Youn (단국대학교 건축학과)
Publication Information
Journal of KIBIM / v.11, no.2, 2021 , pp. 54-59 More about this Journal
Abstract
In the process of designing a building, the process of expressing the designer's ideas through images is essential. However, it is expensive and time consuming for a designer to analyze every individual case image to generate a hypothetical design. This study aims to visualize the basic design draft sketch made by the designer as a real image using the Generative Adversarial Network (GAN) based on the continuously accumulated architectural case images. Through this, we proposed a method to build an automated visualization environment using artificial intelligence and to visualize the architectural idea conceived by the designer in the architectural planning stage faster and cheaper than in the past. This study was conducted using approximately 20,000 images. In our study, the GAN algorithm allowed us to represent primary materials and shades within 2 seconds, but lacked accuracy in material and shading representation. We plan to add image data in the future to address this in a follow-up study.
Keywords
Computer Vision; Urban Data Analysis; Architecture Plan; Architecture Image; Image Conversion;
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