생성형 AI 기반 뷰티 테크 사례 연구 이미지 생성 분야를 중심으로
Case Study of Generative AI-based Beauty Technologies: Focusing on Image Generation
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
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.
Abstract
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.
참고문헌 (20)
- "美 뷰티 시장의 새로운 패러다임, ‘뷰티 테크’로 열다!" (2024)[URL]
- "글로벌 뷰티 기업 ‘로레알’로 살펴본 뷰티테크의 미래" (2023)[URL]
- "LG생활건강, CES서 타투 프린터 ‘임프린투’ 공개" (2023)[URL]
- "글로벌 AI 리더들이 전하는 생성형 AI 기술의 전망" (2023)[URL]
- "BEAUTY TECH at CES 2022-어디까지 왔나? AI를 접목한 첨단 뷰티 테크의 현주소" (2022)[URL]
- "생성형 AI의윤리 문제, 기업들의 대응 방법은?" (2023)[URL]
- M. R. Chavez, "Chat Generative Pre-trained Transformer-Why we should embrace this technology", American Journal of Obstetrics and Gynecology, 228(6), pp.706~711 (2023)
- 황진희, "뷰티테크(Beauty Tech)사례 연구", 한국인체미용예술학회지, 25(1), pp.235~254 (2024)
- 김보람, "미용 분야의 4차 산업혁명 핵심기술 연구 동향분석", 한국인체미용예술학회지, 25(1), pp.255~266 (2024)
- D. H. Kwon, "Analysis of Prompt Elements and Use Cases in Image-Generating AIFocusing on Midjourney, Stable Diffusion, Firefly, DALL⋅E", Journal of Digital Contents Society, 25(2), pp.341~354 (2024)
- A. Elder, "Artificial intelligence in cosmetic dermatology-An update on current trends", Clinics in Dermatology, 42(3), pp.216~220 (2024)
- "Virtual World"[URL]
- "뷰티 큐레이터"[URL]
- "Estée Lauder launches AR and AI-powered app to help users apply makeup" (2023)[URL]
- "Neutrogena®-Dermatologi st recommended face care brand, beauty & skincare tips-Skin360®" (2024)[URL]
- "Reinventing the Beauty Experience -Augmenting Beauty through Digital" (2024)[URL]
- "생성형 AI를 통한 헤라 뉴 세럼 개발컨텐츠 제작" (2024)[URL]
- "L’Oréal Finance-L’Oréal CREAITECH GenAI Beauty Content Lab" (2024)[URL]
- "NVIDIA가 수술 분야에서 AI 기능을 확대하기 위한 방법" (2024)[URL]
