Could ChatGPT Imagine: Content Control for Artistic Painting Generation Via Large Language Models
文献类型：期刊论文
| 作者 | Lu, Yue1; Guo, Chao3 ; Dou, Yong2; Dai, Xingyuan3; Wang, Fei-Yue3
|
| 刊名 | JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
 |
| 出版日期 | 2023-10-01 |
| 卷号 | 109期号:2页码:15 |
| ISSN号 | 0921-0296 |
| 关键词 | Intelligent systems Human-machine interactions Artistic painting generation Large language model ChatGPT Linguistic intelligence |
| DOI | 10.1007/s10846-023-01956-6 |
| 通讯作者 | Wang, Fei-Yue(feiyue.wang@ia.ac.cn) |
| 英文摘要 | Intelligent systems and human-machine interactions have consistently provided convenience in both work and daily life. Artificial Intelligence Generated Content (AIGC) can assist humans in artistic creation by generating painting images based on textual descriptions. However, the quality of generated painting images depends heavily on well-designed prompts, which are labor-intensive and time-consuming in painting creation. Large Language Models (LLMs) like ChatGPT have shown impressive performance in linguistic tasks such as question answering and logical inference, demonstrating strong linguistic intelligence. This paper proposes an assistant painting creation approach to provide precise content control for painting generation by combining LLMs with text-to-image generative models and evaluates the performance of the proposed approach on painting content generation and painting element arrangement. The experimental results show that our approach can provide clear guidance on rich painting content and reasonable arrangements of painting elements, demonstrating its ability of text-based painting scene imagination. In painting generation tasks, LLMs like ChatGPT can help the text-to-image models with precise control over the painting content and improve the overall painting results. |
| WOS关键词 | PARALLEL ; METAVERSES |
| 资助项目 | This work is supported in part by Skywork Intelligence Culture amp; Technology LTD. ; Skywork Intelligence Culture amp; Technology LTD. |
| WOS研究方向 | Computer Science ; Robotics |
| 语种 | 英语 |
| 出版者 | SPRINGER |
| WOS记录号 | WOS:001083626300001 |
| 资助机构 | This work is supported in part by Skywork Intelligence Culture amp; Technology LTD. ; Skywork Intelligence Culture amp; Technology LTD. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/52993]  |
| 专题 | 多模态人工智能系统全国重点实验室 |
| 通讯作者 | Wang, Fei-Yue |
| 作者单位 | 1.Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China 2.Macao Univ Sci & Technol, Macao Inst Syst Engn, Macau 999078, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lu, Yue,Guo, Chao,Dou, Yong,et al. Could ChatGPT Imagine: Content Control for Artistic Painting Generation Via Large Language Models[J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS,2023,109(2):15. |
| APA | Lu, Yue,Guo, Chao,Dou, Yong,Dai, Xingyuan,&Wang, Fei-Yue.(2023).Could ChatGPT Imagine: Content Control for Artistic Painting Generation Via Large Language Models.JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS,109(2),15. |
| MLA | Lu, Yue,et al."Could ChatGPT Imagine: Content Control for Artistic Painting Generation Via Large Language Models".JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS 109.2(2023):15. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。