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

Case Study of Generative AI-based Beauty Technologies: Focusing on Image Generation

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.