전자통신동향분석 (Electronics and Telecommunications Trends)

한국전자통신연구원 (Electronics and Telecommunications Research Institute)
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디지털 에셋 창작을 위한 생성형 AI 기술 동향 및 발전 전망

Generative AI Technology Trends and Development Prospects for Digital Asset Creation

  • 이기석 (XR콘텐츠연구실 ) ;
  • 이승욱 (공간콘텐츠연구실 ) ;
  • 윤민성 (XR콘텐츠연구실 ) ;
  • 유정재 (지능형콘텐츠인식연구실) ;
  • 오아름 (콘텐츠융합연구실 ) ;
  • 최인문 (감성디지털휴먼연구실) ;
  • 김대욱 (실감상호작용연구실 )
  • K.S. Lee ;
  • S.W. Lee ;
  • M.S. Yoon ;
  • J.J. Yu ;
  • A.R. Oh ;
  • I.M. Choi ;
  • D.W. Kim
  • 발행 : 2024.04.01
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초록

With the recent rapid development of artificial intelligence (AI) technology, its use is gradually expanding to include creative areas and building new content using generative AI solutions, reaching beyond existing data analysis and reasoning applications. Content creation using generative AI faces challenges owing to technical limitations and other aspects such as copyright compliance. Nevertheless, generative AI may increase the productivity of experts and overcome barriers to creative work by allowing users to easily express their ideas as digital content. Thus, various types of applications will continue to emerge. As images and videos can be created using text input on a prompt, generative AI allows to create and edit digital assets quickly. We present trends in generative AI technology for images, videos, three-dimensional (3D) assets and scenes, digital humans, interactive content, and interfaces. In addition, the prospects for future technological development in this field are discussed.

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과제정보

본 연구는 과학기술정보통신부의 재원으로 정보통신기획평가원의 지원을 받아 수행된 연구임[No. RS-2023-00225441, 디지털 에셋의 다형성 변형을 위한 지식, 정보 구조화 기술].

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