참고문헌
- Abdi, A., & Safabakhsh, R. (2023). An automatic graphic pattern generation algorithm and its application to the multipurpose camouflage pattern design. IEEE Transactions on Cybernetics, 53(8), 4748-4762. https://doi.org/10.1109/TCYB.2022.3140394
- Acne studios X Robbie Barrat. (2020, January 22). Acne studios X Robbie barrat. Xrgoespop. https://xrgoespop.com/home/acne-studios-x-robbie-barrat
- Archibald, M. M., & Clark, A. M. (2023). ChatGTP: What is it and how can nursing and health science education use it? Journal of Advanced Nursing, 19(10), 3648-3651. https://doi.org/10.1111/jan.15643
- Arus, K., & Disaya, C. (2022). Developing design approaches for tile pattern designs inspired by traditional textile patterns. Processes, 10(23), 2744-2762. https://doi.org/10.3390/pr10122744
- Bain, M. (2023, June 20). The complete playbook for generative AI in fashion. Business of Fashion. https://www.businessoffashion.com/case-studies/technology/generative-ai-playbook-machine-learning-emerging-technology/
- Choufan, L. (2022). Fashion you do not own, fashion you cannot feel: Toward a new paradigm of sharing fashion in the digital age. Fashion Theory, 26(3), 307-328. https://doi.org/10.1080/1362704X.2021.1912954
- Duran, C., & Kilic, A. (2022). The role of the need for uniqueness in choosing between conventional/unconventional customization: The case of Gen Z. Journal of Management and Economics Research, 20(3), 325-350. https://doi.org/10.11611/yead.1146924
- Durand, G. (1976). L'imagination symbolique [Symbolic imagination]. Presses Universitaires de France.
- Francis, T., & Hoefel, F. (2018). True Gen: Generation Z and its implications for companies. McKinsey&Company. https://www.mckinsey.com/uk/~/media/McKinsey/Industries/Consumer%20Packaged%20Goods/Our%20Insights/True%20Gen%20Generation%20Z%20and%20its%20implications%20for%20companies/Generation-Z-and-its-implication-for-companies.pdf
- Fu, Y., & Liang, H. E. (2022). Sinicized exploration of sustainable digital fashion: Chinese game players' intention to purchase traditional costume skins. Sustainability, 14(13), 7877. https://doi.org/10.3390/su14137877
- Gooby, B. (2020). The development of methodologies for color printing in digital inkjet textile printing and the application of color knowledge in the ways of making project. Journal of Textile Design Research and Practice, 8(3), 358-383. https://doi.org/10.1080/20511787.2020.1827802
- Gong, W., & Khalid, L. (2021). Aesthetics, personalization and recommendation: A survey on deep learning in fashion. arXiv preprint arXiv:2101.08301. https://doi.org/10.48550/arXiv.2101.08301
- Hockly, N. (2011). The digital generation. ELT Journal, 65(3), 322-325. https://doi.org/10.1093/elt/ccr041
- Hong, C., Li, J., & Shin, K. (2020, July 2-4). Commercialization of clothing design technology using deep learning model: A case study of technology interface for user convenience in fashion industry [Paper presentation]. Korean Information Science Society Conference, Online. https://www.kiise.or.kr/academy/board/publishList2.fa?MENU_ID=060500
- Hunger, T. V. (2022, December 16). The internet is losing it over these Nike sneakers created by artificial intelligence. Hungertv. https://www.hungertv.com/editorial/the-internet-is-losing-it-over-these-nike-sneakers-created-by-artificial-intelligence
- Jeong, Y., Kim, K. C., & Sohn, C.-B. (2019). A Hanbok design using generative adversarial network: Focusing on DiscoGan, CycleGAN, and Munit. Korea Institute of Design Research Society, 4(3), 22-29.
- Jiang, S., Li, J., & Fu, Y. (2022). Deep learning for fashion style generation. IEEE Transactions on Neural Networks and Learning Systems, 33(9), 4538-4550. https://doi.org/10.1109/TNNLS.2021.3057892
- Jin, M. J. (2020, November 3). Lotte on offers computer-designed clothing. Korean JoongAng Daily. https://koreajoongangdaily.joins.com/2020/11/03/business/industry/lotte-lotte-shopping-lotte-on/20201103175006724.html
- Jose Maria, G., Valor, M., Albert, F., & Contero, M. (2003, July 2-4). Integrated system and methodology for supporting textile and tile pattern design [Paper presentation]. Smart Graphics 2003, Heidelberg, Germany.
- Kim, C. E., & Lee, J. H. (2018). Trends of big data and artificial intelligence in the fashion industry. Journal of the Korean Society of Clothing and Textiles, 42(1), 148-158. https://doi.org/10.5850/JKSCT.2018.42.1.148
- Kim, H. (2021). Classification and combination of fashion items using CNN-based deep learning. Journal of Digital Contents Society, 22(3), 475-482. https://doi.org/10.9728/dcs.2021.22.3.475
- Kim, J. (2015). A study on textile design process that applies algorithm [Unpublished doctoral dissertation]. Konkuk University.
- Oh, H. J., Kim, J., Chang, J. J. C., Park, N., & Lee, S. (2023). Social benefits of living in the metaverse: The relationships among social presence, supportive interaction, social selfefficacy, and feelings of loneliness. Computers in Human Behavior, 139, 107498. https://doi.org/10.1016/j.chb.2022.107498
- Lee, L. H., Braud, T., Hosio, S., & Hui, P. (2022). Towards augmented reality driven human-city interaction: Current research on mobile headsets and future challenges. ACM Computing Surveys, 54(8), 1-38. https://doi.org/10.1145/3467963
- Lee, W. Y. (2020). Fashion design education using Deep Dream Generator in intelligence information society. Journal of the Korean Society of Design Culture, 26(2), 429-446. https://doi.org/10.18208/ksdc.2020.26.2.429
- Liang, Y., Liu, C., & McRoberts, L. B. (2017). College students' acceptance of online mass-customized athletic shoes. Fashion and Textiles, 4, 15. https://doi.org/10.1186/s40691-017-0095-z
- Liu, L., Zhang, H., Ji, Y., & Wu, Q. J. (2019). Toward AI fashion design: An attribute-GAN model for clothing match. Neurocomputing, 341, 156-167. https://doi.org/10.1016/j.neucom.2019.03.011
- Lu, S., Mok, P. Y., & Jin, X. (2017). A new design concept: 3D to 2D textile pattern design for garments. Computer-Aided Design, 89, 35-49. https://doi.org/10.1016/j.cad.2017.03.002
- Makryniotis, T. (2018). Fashion and costume design in electronic entertainment: Bridging the gap between character and fashion design. Fashion Practice, 10(1), 99-118. https://doi.org/10.1080/17569370.2017.1412595
- Matthews, D., Rothenberg, L., & Gopalakrishnan, S. (2019). The impact of mass customization on fashion-innovative students: An assessment of need for uniqueness, self-identity, and perceived performance risk. International Journal of Fashion Design, Technology and Education, 12(3), 293-300. https://doi.org/10.1080/17543266.2019.1601263
- Melnyk, V. (2021, September 14-18). Punch card knitting pattern design in collaboration with GAN [Paper presentation]. The 12th International Conference on Computational Creativity, Mexico City, Mexico.
- Park, J., & Chun, J. (2023). Evolution of fashion as play in the digital space. Fashion Practice, 15(2), 1-23. https://doi.org/10.1080/17569370.2022.2149837
- Parsons, J. L. (2015). Historical patents as inspiration for digital textile and apparel design. Clothing and Textiles Research Journal, 33(4), 280-296. https://doi.org/10.1177/0887302X15600793
- Prensky, M. (2009). H. sapiens digital: From digital immigrants and digital natives to digital wisdom. Innovate: Journal of Online Education, 5(3). https://www.learntechlib.org/p/104264/ 104264/
- Ren, J., Chen, G., & Li, X. (2017). A fine grained digital textile printing system based on image registration. Computers in Industry, 92, 152-160. https://doi.org/10.1016/j.compind.2017.08.003
- Research and Market. (2022). Artificial intelligence (AI) in fashion: Global strategic business report. https://www.researchandmarkets.com/reports/5301848/artificial-intelligence-ai-in-fashion-global
- Sarmakari, N. (2023). Digital 3D fashion designers: Cases of Atacac and the Fabricant. Fashion Theory, 27(1), 85-114. https://doi.org/10.1080/1362704X.2021.1981657
- Seo, J. M., & Lee, W. J. (2022). A study on the improvement of complex characteristics of virtual try-on based on 2-d image by convergence of fashion and artificial intelligence. The Korean Society of Science & Art, 40(4), 193-203. http://doi.org/10.17548/ksaf.2022.09.30.193
- Snyder, C. R., & Fromkin, H. L. (1980). Uniqueness: The human pursuit of difference. Plenum Press.
- Son, J.-H. (2022, February 27). LG's AI fashion designer Tilda debuts in New York. The Korea Herald. https://www.koreaherald.com/view.php?ud=20220215000613
- Song, H. (2018). The making of microcelebrity: AfreecaTV and the younger generation in neoliberal South Korea. Social Media+Society,Media+Society, 4(4). https://doi.org/10.1177/2056305118814906
- Thomas, J. H., Roopashree, S., Joy, J. C., Kollarath, H. A., & Siby, A. (2022). Deep learning: A new way of looking into fashion. In V. Sharma, M. Singh, & J. Sinha (Eds.), Communication control and networking (pp. 1592-1595). Galgotias. https://doi.org/10.1109/ICAC3N56670.2022.10074341
- Tippett, B. G. (2002). The evolution and progression of digital textile printing. Digital Printing Systems Orangeburg. http://brookstippett.com/docs/Print2002-BGT.pdf
- Tyler, D. J. (2005). Textile digital printing technologies. Textile Progress, 37(4), 1-65. https://doi-org-ssl.glibproxy.gachon.ac.kr:8443/10.1533/tepr.2005.0004
- Turkut, u., Tuncer, A., Savran, H., & Yilmaz, S. (2020, June 26-27). An online recommendation system using deep learning for textile products [Paper presentation]. 2020 International Congress on Human-computer Interaction, Optimization and Robotic Applications, Turkey.
- Uh, K. J. (2020). Digital persona in E-girl and E-boy fashion images. Research Journal of the Costume Culture, 28(5), 692-704. https://doi.org/10.29049/rjcc.2020.28.5.692
- Valiente, J. M., Albert, F., Carretero, C., & Gomis, J. M. (2004, August 26-28). Structural description of textile and tile pattern designs using image processing [Paper presentation]. The 17th International Conference on Pattern Recognition, Cambridge, UK.
- Worbin, L. (2010). Designing dynamic textile patterns (Publication No. 2320/6283). [Doctoral dissertation, University of Boras]. ProQuest Dissertations and Theses Global.
- Wu, Q., Zhu, B., Yong, B., Wei, Y., Jiang, X., Zhou, R., & Zhou, Q. (2021). ClothGAN: Generation of fashionable Dunhuang clothes using generative adversarial networks. Connection Science, 33(2), 341-358. https://doi.org/10.1080/09540091.2020.1822780
- Yu, Z.-Y., & Luo, T.-J. (2021). Research on clothing patterns generation based on multi-scales self-attention improved generative adversarial network. International Journal of Intelligent Computing and Cybernetics, 14(4), 647-663. https://doi.org/10.1108/IJICC-04-2021-0065
- Zou, X., & Wong, W. (2021). Fashion after fashion: A report of AI in fashion. arXiv preprint arXiv:2105.03050. https://doi.org/10.48550/arXiv.2105.03050