한국BIM학회 논문집 (Journal of KIBIM)

  • 제11권2호
  • /
  • Pages.54-59
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  • 2021
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  • 2288-1697(pISSN)
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  • 2288-1697(eISSN)
한국BIM학회 (Korean Institute of Building Information Modeling)
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인공지능 알고리즘을 활용한 건축 이미지 생성에 관한 연구 - 건축 스케치 기반의 실사 이미지 생성을 위한 기초적 연구 -

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

  • 투고 : 2021.06.25
  • 심사 : 2021.06.29
  • 발행 : 2021.06.30
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초록

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.

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과제정보

본 연구는 한국연구재단 기초연구사업 (No.NRF-2019R1A2C4070130)의 연구비 지원에 의한 결과임.

참고문헌

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