2024 04 v.24 93-103
基于AIGC技术的土家织锦纹样创新设计研究
基金项目(Foundation):
丝绸文化传承与产品设计数字文化和旅游部重点实验室开放基金资助
邮箱(Email):
DOI:
10.19883/j.1009-9034.2024.0368
中文作者单位:
安徽工程大学纺织服装学院;武汉纺织大学服装学院;
摘要(Abstract):
人工智能生成内容(Artificial Intelligence Generated Content, AIGC)技术的出现为非物质文化遗产的可持续发展提供了新质动力。作为国家级非物质文化遗产，土家织锦蕴含着独特的民族特色和深厚的文化内涵，为利用AIGC技术深入挖掘土家织锦提供了广阔的空间。为了实现土家织锦图案的智能提取和生成，本研究首先利用稳定扩散模型提取图案元素，然后将LoRA模型与计算机图像处理技术相结合，再结合触发词，实现织锦图案的自动生成。通过层次分析法(Analysis Hierarchy Process, AHP)确认了生成图案的有效性和可行性，证明了它们与土家织锦的特点一致。此外，本研究还探讨了生成图案在创新服装设计中的应用前景。通过将非物质文化遗产嵌入数字生成技术，该研究促进了图案设计的创新，为传统文化的传播和振兴作出了重要贡献。
关键词(KeyWords):
AIGC;土家织锦;纹样生成;层次分析法;服装设计
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参考文献
[1] 贾玺增.中国古代马面裙研究——兼论清华大学艺术博物馆藏马面裙[J].东华大学学报(社会科学版),2023,23(1):48-61.
[2] 倪春洪，纪浏洁.土家织锦纹样的基因提取与文创设计应用[J].湖南包装，2023,38(1):73-77;98.
[3] ZHANG C,ZHANG C,ZHENG S,et al.A complete survey on generative AI (AIGC):Is ChatGPT from GPT-4 to GPT-5 all you need?[J].arXiv preprint:2303.11717,2023.
[4] 贾玺增，张馨翌，于小利.人工智能生成式内容(AIGC)服装设计的定义、特点与协同创新[J/OL].东华大学学报(社会科学版).https://doi.org/10.19883/j.1009-9034.2024.0334.
[5] ANANTRASIRICHAI N,BULL D.Artificial intelligence in the creative industries:a review[J].Artificial intelligence review,2022,55(1):589-656.
[6] WANG Y L,XI Y C,LIU X X,et al.Exploring the dual potential of artificial intelligence-generated content in the esthetic reproduction and sustainable innovative design of Ming-style furniture[J].Sustainability,2024,16(12):5173.
[7] WU F,HSIAO S W,LU P.An AIGC-empowered methodology to product color matching design[J].Displays,2024,81:102623.
[8] LU Y,GUO C,DOU Y,et al.Could ChatGPT imagine:content control for artistic painting generation via large language models[J].Journal of Intelligent & Robotic Systems,2023,109(2):39.
[9] BENNETT J W.The study of cultures:a survey of technique and methodology in field work[J].American Sociological Review,1948,13(6):672-689.
[10] 辛艺华，罗彬.土家织锦的审美特征[J].华中师范大学学报(人文社会科学版),2001(3):71-77.
[11] CHOW W,SHIEH M D,CHEN C N.Explore the image perception of “Tujia brocade” based on the Tujia cultural and ecological environment[J].Ekoloji Dergisi,2019 (107):1963-1968.
[12] 张国云.三峡地区土家织锦仿生造型解析[J].民族艺术研究，2010(5):134-138.
[13] 杨蓓，肖弋.湘西土家织锦——西兰卡普纹样研究[J].美术，2012(4):114-115.
[14] 周少华.土家织锦图谱[M].北京：中国社会科学出版社，2022:55.
[15] LIU X,ZHANG X,MA J,et al.Instaflow:One step is enough for high-quality diffusion-based text-to-image generation[C]//The Twelfth International Conference on Learning Representations,2023.
[16] LI R,TANG X,XIE G.Spreading factor and coding rate allocation method for LoRa network[C]//Journal of Physics:Conference Series.IOP Publishing,2023,2632(1):012008.
[17] BOLYA D,HOFFMAN J.Token merging for fast stable diffusion[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition,2023:4599-4603.
[18] POUYANFAR S,SADIQ S,YAN Y,et al.A survey on deep learning:Algorithms,techniques,and applications[J].ACM Computing Surveys (CSUR),2018,51(5):1-36.
[19] PODVEZKO V.Application of AHP technique[J].Journal of Business Economics and Management,2009 (2):181-189.
[2] 倪春洪，纪浏洁.土家织锦纹样的基因提取与文创设计应用[J].湖南包装，2023,38(1):73-77;98.
[3] ZHANG C,ZHANG C,ZHENG S,et al.A complete survey on generative AI (AIGC):Is ChatGPT from GPT-4 to GPT-5 all you need?[J].arXiv preprint:2303.11717,2023.
[4] 贾玺增，张馨翌，于小利.人工智能生成式内容(AIGC)服装设计的定义、特点与协同创新[J/OL].东华大学学报(社会科学版).https://doi.org/10.19883/j.1009-9034.2024.0334.
[5] ANANTRASIRICHAI N,BULL D.Artificial intelligence in the creative industries:a review[J].Artificial intelligence review,2022,55(1):589-656.
[6] WANG Y L,XI Y C,LIU X X,et al.Exploring the dual potential of artificial intelligence-generated content in the esthetic reproduction and sustainable innovative design of Ming-style furniture[J].Sustainability,2024,16(12):5173.
[7] WU F,HSIAO S W,LU P.An AIGC-empowered methodology to product color matching design[J].Displays,2024,81:102623.
[8] LU Y,GUO C,DOU Y,et al.Could ChatGPT imagine:content control for artistic painting generation via large language models[J].Journal of Intelligent & Robotic Systems,2023,109(2):39.
[9] BENNETT J W.The study of cultures:a survey of technique and methodology in field work[J].American Sociological Review,1948,13(6):672-689.
[10] 辛艺华，罗彬.土家织锦的审美特征[J].华中师范大学学报(人文社会科学版),2001(3):71-77.
[11] CHOW W,SHIEH M D,CHEN C N.Explore the image perception of “Tujia brocade” based on the Tujia cultural and ecological environment[J].Ekoloji Dergisi,2019 (107):1963-1968.
[12] 张国云.三峡地区土家织锦仿生造型解析[J].民族艺术研究，2010(5):134-138.
[13] 杨蓓，肖弋.湘西土家织锦——西兰卡普纹样研究[J].美术，2012(4):114-115.
[14] 周少华.土家织锦图谱[M].北京：中国社会科学出版社，2022:55.
[15] LIU X,ZHANG X,MA J,et al.Instaflow:One step is enough for high-quality diffusion-based text-to-image generation[C]//The Twelfth International Conference on Learning Representations,2023.
[16] LI R,TANG X,XIE G.Spreading factor and coding rate allocation method for LoRa network[C]//Journal of Physics:Conference Series.IOP Publishing,2023,2632(1):012008.
[17] BOLYA D,HOFFMAN J.Token merging for fast stable diffusion[C]//Proceedings of the IEEE/CVF conference on computer vision and pattern recognition,2023:4599-4603.
[18] POUYANFAR S,SADIQ S,YAN Y,et al.A survey on deep learning:Algorithms,techniques,and applications[J].ACM Computing Surveys (CSUR),2018,51(5):1-36.
[19] PODVEZKO V.Application of AHP technique[J].Journal of Business Economics and Management,2009 (2):181-189.
基本信息:
DOI：10.19883/j.1009-9034.2024.0368
中图分类号:TP18;TP391.41;TS106
引用信息:
[1]孙雨蓝,迟诚,刘换洁.基于AIGC技术的土家织锦纹样创新设计研究[J].东华大学学报(社会科学版),2024,24(04):93-103.DOI:10.19883/j.1009-9034.2024.0368.
基金信息:
丝绸文化传承与产品设计数字文化和旅游部重点实验室开放基金资助