| Autor: |
GUO Chao, DAI Xingyuan, LIAO Weilong, QI Jueyu, LU Yue, NI Qinghua, WANG Lin, WANG Fei-Yue |
| Jazyk: |
čínština |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
智能科学与技术学报, Vol 6, Pp 179-188 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2096-6652 |
| DOI: |
10.11959/j.issn.2096-6652.202421 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
