생성형 AI 기반 뷰티 테크 사례 연구 - 이미지 생성 분야를 중심으로

• 영문명: Case Study of Generative AI-based Beauty Technologies: Focusing on Image Generation
• 발행기관: 한국인체미용예술학회
• 저자명: 이순례(SoonYei Lee)
• 간행물 정보: 『한국인체미용예술학회지』제25권 제3호, 283~296쪽, 전체 14쪽
• 주제분류: 예술체육 > 예술일반
• 파일형태: PDF
• 발행일자: 2024.09.20

국문 초록

Traditional AI-based beauty technologies and studies have primarily relied on machine learning algorithms customized for specific tasks. However, integrating individual user characteristics, preferences, and specific needs into these algorithms has posed significant technical challenges. Recent advancements in generative AI technologies are opening up new possibilities in the beauty industry. Such innovations include personalized makeup and hairstyles, beauty filters, and virtual cosmetic surgery that can be tailored to the user's facial features. This study focused on analyzing generative AI-based beauty technology, specifically image generation technology, through case studies. As a preliminary step to this research, the limitations and challenges of current AI-based beauty technologies were carefully identified, proving the potential applicability of such emerging generative AI technologies in the beauty industry through targeted case studies. The study results are expected to provide insights into leveraging AI technologies to predict trends in beauty technology.

목차

Ⅰ. 서론

Ⅱ. 이론적 배경

Ⅲ. 생성형 AI 기술 적용 - 뷰티 서비스 사례 모색

Ⅳ. 결론

참고문헌

키워드

생성형 인공지능 이미지 생성 스킨케어 헤어스타일 Generative AI Image generation Skin care Hair Styles Makeup