智能科学与技术学报 (Jun 2024)

Intelligent art factory: achieving creative automation through parallel art agents

  • GUO Chao,
  • DAI Xingyuan,
  • LIAO Weilong,
  • QI Jueyu,
  • LU Yue,
  • NI Qinghua,
  • WANG Lin,
  • WANG Fei-Yue

Journal volume & issue
Vol. 6
pp. 179 – 188

Abstract

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In recent years, multimodal content generation models have rapidly evolved, significantly improving the efficiency of creative workers. However, existing methods still require expertise and cannot realize the automation of the whole creation process, making it difficult to widely serve the public. This paper proposes the concept and architecture of intelligent art factory, based on advanced foundation models and AI agent systems. Creative production oriented agents and digital teams, in conjunction with the basic workflow, functions, and methods of the intelligent art factory are established. The creative process automation and creative knowledge automation are achieved through collaboration among biological humans, digital humans, and robots in cyber-physical-social spaces. The intelligent art factory seeks to further liberate the creativity of the public.

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