인공지능 알고리즘을 활용한 건축 이미지 생성에 관한 연구

• 영문명: A Study on Architectural Image Generation using Artificial Intelligence Algorithm: A Fundamental Study on the Generation of Due Diligence Images Based on Architectural Sketch
• 발행기관: 한국BIM학회
• 저자명: 한상국(Han, Sang-Kook) 신동윤(Shin, Dong-Youn)
• 간행물 정보: 『KIBIM Magazine』11권 2호, 54~59쪽, 전체 6쪽
• 주제분류: 공학 > 건축공학
• 파일형태: PDF
• 발행일자: 2021.06.30

영문 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.

목차

1. 서론

2. 건축 이미지 데이터 구축 및 변환

3. 이미지 변환

4. 결론

감사의 글

References

키워드

컴퓨터비전 건축계획 건축 이미지 이미지변환 Computer Vision Urban Data Analysis Architecture Plan Architecture Image Image Conversion