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Xue, Z., Zeng, X., & Koehl, L. (2018). Artificial intelligence applied to multisensory studies of textile products. Artificial Intelligence for Fashion Industry in the Big Data Era, 211-244.Search in Google Scholar
Liang, Y., Lee, S. H., & Workman, J. E. (2020). Implementation of artificial intelligence in fashion: are consumers ready?. Clothing and Textiles Research Journal, 38(1), 3-18.Search in Google Scholar
Cheng, W. H., Song, S., Chen, C. Y., Hidayati, S. C., & Liu, J. (2021). Fashion meets computer vision: A survey. ACM Computing Surveys (CSUR), 54(4), 1-41.Search in Google Scholar
Ma, Y., Jia, J., Zhou, S., Fu, J., Liu, Y., & Tong, Z. (2017, February). Towards better understanding the clothing fashion styles: A multimodal deep learning approach. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 31, No. 1).Search in Google Scholar
Sareen, S. (2022). The AI Couturiers: Redefining Fashion with Artificial Intelligence. SJIS-P, 34(2), 186-189.Search in Google Scholar
Csanák, E. (2020). AI for Fashion. In 13 th International Scientific-Professional Symposium Textile Science and Economy.Search in Google Scholar
Ferrara, M. (2018, December). Smart experience in fashion design: A speculative analysis of smart material systems applications. In Arts (Vol. 8, No. 1, p. 4). MDPI.Search in Google Scholar
Sbai, O., Elhoseiny, M., Bordes, A., LeCun, Y., & Couprie, C. (2018). Design: Design inspiration from generative networks. In Proceedings of the European Conference on Computer Vision (ECCV) Workshops (pp. 0-0).Search in Google Scholar
Ramos, L., Rivas-Echeverría, F., Casas, E., & Pérez, A. G. (2023, October). The Role of Artificial Intelligence in Enhancing Sustainability in the Fashion Industry: A 2012-2022 Review. In 2023 8th International Conference on Mathematics and Computers in Sciences and Industry (MCSI) (pp. 89-95). IEEE.Search in Google Scholar
Bertola, P., & Teunissen, J. (2018). Fashion 4.0. Innovating fashion industry through digital transformation. Research Journal of Textile and Apparel, 22(4), 352-369.Search in Google Scholar
Rahman, M. M. (2021). Applications of the digital technologies in textile and fashion manufacturing industry. Technium: Romanian Journal of Applied Sciences and Technology, 3(1), 114-127.Search in Google Scholar
Verganti, R., Vendraminelli, L., & Iansiti, M. (2020). Innovation and design in the age of artificial intelligence. Journal of product innovation management, 37(3), 212-227.Search in Google Scholar
Yang, S., Liu, W., & Xu, C. (2020, November). Research on Fashion Design Based on Human-Computer Interaction Technology in the Era of Big Data. In 2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT) (pp. 365-368). IEEE.Search in Google Scholar
Akram, S. V., Malik, P. K., Singh, R., Gehlot, A., Juyal, A., Ghafoor, K. Z., & Shrestha, S. (2022). Implementation of digitalized technologies for fashion industry 4.0: Opportunities and challenges. Scientific Programming, 2022(1), 7523246.Search in Google Scholar
Rahman, M. M. (2021). Applications of the digital technologies in textile and fashion industry. Technium, 3(1).Search in Google Scholar
Cui, Y., Feng, X., & Yang, X. (2021). A matching degree management model of human body shape and fashion design based on big data analysis. Scientific Programming, 2021(1), 9384404.Search in Google Scholar
Adekunle, A. (2024). Application of Artificial Intelligence and Digital Technologies in Fashion Design and Innovation in Nigeria. International Journal of Fashion and Design, 3(1), 37-48.Search in Google Scholar
Qiu, J., & Ma, L. (2021). Fusion mode and style based on artificial intelligence and clothing design. Mathematical Problems in Engineering, 2021(1), 6293539.Search in Google Scholar
Deng, H., Jiang, J., Yu, Z., Ouyang, J., & Wu, D. (2024). CrossGAI: A Cross-Device Generative AI Framework for Collaborative Fashion Design. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 8(1), 1-27.Search in Google Scholar
Bertacchini, A., & Pantano, P. S. (2023). SYNERGIES IN THE EVOLUTION OF ARTIFICIAL INTELLIGENCE AND FASHION: A PROSPECTIVE ANALYSIS. Fashion Highlight, (2), 80-86.Search in Google Scholar
Chung, K., & Lee, M. (2023). A Case Study of Human-AI Co-creation (HAIC) in Fashion Design. Journal of Fashion Business, 27(4), 141-162.Search in Google Scholar
Vijayaraj, A., Vasanth Raj, P. T., Jebakumar, R., Gururama Senthilvel, P., Kumar, N., Suresh Kumar, R., & Dhanagopal, R. (2022). Deep learning image classification for fashion design. Wireless Communications and Mobile Computing, 2022(1), 7549397.Search in Google Scholar
Wang, Y., Choudhary, V., & Yin, S. (2023). Product design enhancement for fashion retailing. Service Science, 15(3), 157-171.Search in Google Scholar
Simian, D., & Husac, F. (2022, October). Challenges and Opportunities in Deep Learning Driven Fashion Design and Textiles Patterns Development. In International Conference on Modelling and Development of Intelligent Systems (pp. 173-187). Cham: Springer Nature Switzerland.Search in Google Scholar
Lomov, I., & Makarov, I. (2019, May). Generative models for fashion industry using deep neural networks. In 2019 2nd International Conference on Computer Applications & Information Security (ICCAIS) (pp. 1-6). IEEE.Search in Google Scholar
Liu, H., & Cheng, X. (2023). Application of virtual reality technology based on artificial intelligence in fashion design style. International Journal of System Assurance Engineering and Management, 1-10.Search in Google Scholar
Jiffy Joseph,Aparajit Singh,Pournami P. N.,Jayaraj P. B. & Niyas Puzhakkal.(2023).Cone beam computed tomography enhancement using feature‐embedded variational autoencoder with a perceptual loss function.International Journal of Imaging Systems and Technology(5),1767-1778.Search in Google Scholar
Hong Shuai,Shen Jie,Lü Guonian,Liu Xiaoyan,Mao Yirui,Sun Nina & Tang Long.(2023).Aesthetic style transferring method based on deep neural network between Chinese landscape painting and classical private garden’s virtual scenario.International Journal of Digital Earth(1),1491-1509.Search in Google Scholar
Fengquan Zhang, Huaming Gao & Yuping Lai.(2020).Detail-Preserving CycleGAN-AdaIN Framework for Image-to-Ink Painting Translation.IEEE Access132002-132011.Search in Google Scholar
Zhang Heng,Pu Yuanyuan,Nie Rencan,Xu Dan,Zhao Zhengpeng & Qian Wenhua.(2021).Multi-modal image synthesis combining content-style adaptive normalization and attentive normalization.Computers & Graphics(prepublish),Search in Google Scholar