{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T12:20:58Z","timestamp":1770985258440,"version":"3.50.1"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T00:00:00Z","timestamp":1770940800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T00:00:00Z","timestamp":1770940800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-026-21182-0","type":"journal-article","created":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T11:35:44Z","timestamp":1770982544000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Adaptive StyleGan for dressing up the human avatars in metaverse fashion show"],"prefix":"10.1007","volume":"85","author":[{"given":"Ghada","family":"Dahy","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rania","family":"Ahmed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lobna M. Abou","family":"El-Magd","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ashraf","family":"Darwish","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9989-6681","authenticated-orcid":false,"given":"Aboul Ella","family":"Hassanein","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,2,13]]},"reference":[{"issue":"4","key":"21182_CR1","doi-asserted-by":"publisher","first-page":"251","DOI":"10.17671\/gazibtd.1487061","volume":"17","author":"\u0130 Yo\u015fumaz","year":"2024","unstructured":"Yo\u015fumaz \u0130 (2024) Industrial metaverse as a new component of digital transformation: a bibliometric analysis. Bili\u015fim Teknolojileri Dergisi 17(4):251\u2013265. https:\/\/doi.org\/10.17671\/gazibtd.1487061","journal-title":"Bili\u015fim Teknolojileri Dergisi"},{"key":"21182_CR2","doi-asserted-by":"publisher","DOI":"10.17705\/1jais.00183","author":"A Davis","year":"2009","unstructured":"Davis A, Murphy J, Owens D, Khazanchi D, Zigurs I (2009) Avatars, people, and virtual worlds: foundations for research in metaverses. J Assoc Inf Syst. https:\/\/doi.org\/10.17705\/1jais.00183","journal-title":"J Assoc Inf Syst"},{"issue":"1","key":"21182_CR3","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1177\/0022242921996646","volume":"86","author":"F Miao","year":"2022","unstructured":"Miao F, Kozlenkova IV, Wang H, Xie T, Palmatier RW (2022) An emerging theory of avatar marketing. J Mark 86(1):67\u201390. https:\/\/doi.org\/10.1177\/0022242921996646","journal-title":"J Mark"},{"key":"21182_CR4","unstructured":"Metaverse Avatars Unveiled Detailed Guide to Building Your Digital Identity in 2024. [Online]. Available: https:\/\/meetaverse.com\/blog\/metaverse-avatars\/"},{"key":"21182_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-024-10703-8","volume":"57","author":"X Mu","year":"2024","unstructured":"Mu X, Zhang H, Shi J et al (2024) Fashion intelligence in the metaverse: promise and future prospects. Artif Intell Rev 57:67. https:\/\/doi.org\/10.1007\/s10462-024-10703-8","journal-title":"Artif Intell Rev"},{"key":"21182_CR6","doi-asserted-by":"publisher","unstructured":"Park J, Kim NL (2022) From metaverse to the real world: the role of avatar identification in consumer\u2019s virtual purchasing behavior. https:\/\/doi.org\/10.31274\/itaa.15732","DOI":"10.31274\/itaa.15732"},{"key":"21182_CR7","doi-asserted-by":"publisher","unstructured":"Sanchez MR, Garcia-Badell G (2023) Dressing the metaverse: the digital strategies of fashion brands in the virtual universe, in Advances in Fashion and Design Research. [Online]. Available: https:\/\/doi.org\/10.1007\/978-3-031-16773-7_33","DOI":"10.1007\/978-3-031-16773-7_33"},{"key":"21182_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2022.102542","volume":"66","author":"YK Dwivedi","year":"2022","unstructured":"Dwivedi YK et al (2022) Metaverse beyond the hype: multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. Int J Inf Manage 66:102542. https:\/\/doi.org\/10.1016\/j.ijinfomgt.2022.102542","journal-title":"Int J Inf Manage"},{"key":"21182_CR9","unstructured":"Karras T, Aila T, Laine S, Lehtinen J (2018) Progressive growing of GANs for improved quality, stability, and variation, in Proc. 6th Int. Conf. Learn. Representations (ICLR), [Online]. Available: https:\/\/openreview.net\/forum?id=Hk99zCeAb"},{"key":"21182_CR10","unstructured":"Goodfellow I, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, Courville A,\u00a0Bengio Y (2014) Generative adversarial nets, in Advances in Neural Information Processing Systems 27. [Online]. Available: https:\/\/papers.nips.cc\/paper\/5423-generative-adversarial-nets"},{"key":"21182_CR11","doi-asserted-by":"publisher","unstructured":"Karras T, Laine S, Aila T (2019) A style-based generator architecture for generative adversarial networks, in Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 4401\u20134410. https:\/\/doi.org\/10.1109\/CVPR.2019.00453","DOI":"10.1109\/CVPR.2019.00453"},{"key":"21182_CR12","doi-asserted-by":"publisher","DOI":"10.1145\/3450626.3459838","author":"O Tov","year":"2021","unstructured":"Tov O, Alaluf Y, Nitzan Y, Patashnik O, Cohen-Or D (2021) Designing an encoder for StyleGAN image manipulation. ACM Trans Graph. https:\/\/doi.org\/10.1145\/3450626.3459838","journal-title":"ACM Trans Graph"},{"key":"21182_CR13","doi-asserted-by":"publisher","unstructured":"Huang X, Belongie S (2017) Arbitrary style transfer in real-time with adaptive instance normalization, in Proceedings of the IEEE International Conference on Computer Vision (ICCV). https:\/\/doi.org\/10.1109\/ICCV.2017.167","DOI":"10.1109\/ICCV.2017.167"},{"key":"21182_CR14","doi-asserted-by":"publisher","unstructured":"Karras T, Laine S, Aittala M, Hellsten J, Lehtinen J, Aila T (2020) Analyzing and improving the image quality of StyleGAN, in Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR) pp. 8107\u20138116. https:\/\/doi.org\/10.1109\/CVPR42600.2020.00813","DOI":"10.1109\/CVPR42600.2020.00813"},{"key":"21182_CR15","doi-asserted-by":"publisher","DOI":"10.1145\/3447648","author":"R Abdal","year":"2021","unstructured":"Abdal R, Zhu P, Mitra NJ, Wonka P (2021) StyleFlow: attribute-conditioned exploration of StyleGAN-generated images using conditional continuous normalizing flows. ACM Trans Graph. https:\/\/doi.org\/10.1145\/3447648","journal-title":"ACM Trans Graph"},{"key":"21182_CR16","unstructured":"Karras T, Aittala M, Hellsten J, Laine S, Lehtinen J, Aila T (2020) Training generative adversarial networks with limited data, in Advances in Neural Information Processing Systems. [Online]. Available: https:\/\/proceedings.neurips.cc\/paper\/2020\/hash\/8d30aa96e72440759f74bd2306c1fa3d-Abstract.html"},{"key":"21182_CR17","doi-asserted-by":"publisher","unstructured":"Wu Z, Lischinski D, Shechtman E (2021) Stylespace analysis: disentangled controls for StyleGAN image generation, in Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR) pp. 12863\u201312872. https:\/\/doi.org\/10.1109\/CVPR46437.2021.01267","DOI":"10.1109\/CVPR46437.2021.01267"},{"key":"21182_CR18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3034267","author":"Y Shen","year":"2022","unstructured":"Shen Y, Yang C, Tang X, Zhou B (2022) InterFaceGAN: interpreting the disentangled face representation learned by GANs. IEEE Trans Pattern Anal Mach Intell. https:\/\/doi.org\/10.1109\/TPAMI.2020.3034267","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"21182_CR19","doi-asserted-by":"publisher","unstructured":"Shen Y, Zhou B (2021) Closed-form factorization of latent semantics in gans, in proceedings of the IEEE computer society conference on computer vision and pattern recognition. https:\/\/doi.org\/10.1109\/CVPR46437.2021.00158","DOI":"10.1109\/CVPR46437.2021.00158"},{"issue":"6","key":"21182_CR20","doi-asserted-by":"publisher","DOI":"10.3390\/fi16060199","volume":"16","author":"C Ruiz Vi\u00f1als","year":"2024","unstructured":"Ruiz Vi\u00f1als C, Gil Ib\u00e1\u00f1ez M, Del Olmo Arriaga JL (2024) Metaverse and fashion: an analysis of consumer online interest. Future Internet 16(6):199. https:\/\/doi.org\/10.3390\/fi16060199","journal-title":"Future Internet"},{"key":"21182_CR21","unstructured":"McDowell M (2020) Meta\u2019s new digital fashion marketplace will sell PRADA, Balenciaga and Thom Browne, Vogue Business, [Online]. Available: https:\/\/cutt.ly\/PLCSIlQ"},{"key":"21182_CR22","unstructured":"How Digital Fashion and the Metaverse Change the Clothes We Will Wear https:\/\/www.inuru.com\/posts\/how-digital-fashion-and-the-metaverse-change-the-clothes-we-will-wear"},{"key":"21182_CR23","unstructured":"Goodfellow I, Pouget-Abadie J, Mirza M, Xu B, Warde-Farley D, Ozair S, Courville A, Bengio Y (2014) Generative adversarial nets, in advances in neural information Processing Systems 27."},{"key":"21182_CR24","doi-asserted-by":"publisher","unstructured":"Karras T, Laine S, Aittala M, Hellsten J, Lehtinen J, Aila T (2020) Analyzing and improving the image quality of StyleGAN, in Proc. IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), 8107\u20138116. https:\/\/doi.org\/10.1109\/CVPR42600.2020.00813","DOI":"10.1109\/CVPR42600.2020.00813"},{"issue":"4","key":"21182_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3450626.3459884","volume":"40","author":"KM Lewis","year":"2021","unstructured":"Lewis KM, Varadharajan S, Kemelmacher-Shlizerman I (2021) TryOnGAN: body-aware try-on via layered interpolation. ACM Trans Graph 40(4):1\u201310. https:\/\/doi.org\/10.1145\/3450626.3459884","journal-title":"ACM Trans Graph"},{"key":"21182_CR26","doi-asserted-by":"publisher","unstructured":"Yildirim G, Jetchev N, Vollgraf R, Bergmann U (2019) Generating high-resolution fashion model images wearing custom outfits, in Proc. 2019 Int. Conf. Comput. Vis. Workshop (ICCVW). https:\/\/doi.org\/10.1109\/ICCVW.2019.00389","DOI":"10.1109\/ICCVW.2019.00389"},{"key":"21182_CR27","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-023-02272-4","volume":"4","author":"A Mei\u00dfner","year":"2023","unstructured":"Mei\u00dfner A, Fr\u00f6hlich A, Geierhos M (2023) Keep it simple: evaluating local search-based latent space editing. SN Comput. Sci. 4:820. https:\/\/doi.org\/10.1007\/s42979-023-02272-4","journal-title":"SN Comput. Sci."},{"key":"21182_CR28","unstructured":"Avatar SDK, Accessed: Jun. 12, 2024. [Online]. Available: https:\/\/avatarsdk.com"},{"key":"21182_CR29","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-021-10594-9","author":"H Mittal","year":"2022","unstructured":"Mittal H, Pandey AC, Saraswat M, Kumar S, Pal R, Modwel G (2022) A comprehensive survey of image segmentation: clustering methods, performance parameters, and benchmark datasets. Multimed Tools Appl. https:\/\/doi.org\/10.1007\/s11042-021-10594-9","journal-title":"Multimed Tools Appl"},{"key":"21182_CR30","unstructured":"Outfit Anyone Ultra-high quality virtual try-on for Any Clothing and Any Person, Accessed: Jun. 12, 2024. [Online]. Available: https:\/\/humanaigc.github.io\/outfit-anyone\/"},{"key":"21182_CR31","doi-asserted-by":"publisher","unstructured":"Fu J, Li S, Jiang Y, Lin K-Y, Qian C, Loy CC, Wu W, Liu Z (2022) StyleGAN-Human: a data-centric odyssey of human generation, in Proc. ECCV, pp. 1\u201319. https:\/\/doi.org\/10.1007\/978-3-031-19787-1_1","DOI":"10.1007\/978-3-031-19787-1_1"},{"key":"21182_CR32","doi-asserted-by":"publisher","unstructured":"Fu J, Li S, Jiang Y, Lin K-Y, Wu W, Liu Z (2023) UnitedHuman: harnessing multi-source data for high-resolution human, generation\u00a0Proc. IEEE\/CVF Int. Conf. Computer Vision (ICCV), https:\/\/doi.org\/10.1109\/ICCV51070.2023.00671","DOI":"10.1109\/ICCV51070.2023.00671"},{"key":"21182_CR33","doi-asserted-by":"publisher","unstructured":"Li X, Hou X Loy CC (2023\u00a0When StyleGAN Meets Stable Diffusion: a \ud4b2+_++\u200b Adapter for Personalized Image Generation, arXiv preprint arXiv:2311.17461, Nov. doi: https:\/\/doi.org\/10.48550\/arXiv.2311.17461","DOI":"10.48550\/arXiv.2311.17461"},{"key":"21182_CR34","doi-asserted-by":"publisher","unstructured":"Zhang Y, Wang Z, Li X, Yuan Y, Zhang C, Sun X, Zhong Z, Wang J (2024) DiffBody: human body restoration by imagining with generative diffusion Prior, arxiv Preprint arxiv:2404.03642. https:\/\/doi.org\/10.48550\/arXiv.2404.03642","DOI":"10.48550\/arXiv.2404.03642"},{"key":"21182_CR35","doi-asserted-by":"publisher","first-page":"764","DOI":"10.1016\/j.procs.2015.06.090","volume":"54","author":"N Dhanachandra","year":"2015","unstructured":"Dhanachandra N, Manglem K, Chanu YJ (2015) Image segmentation using K-means clustering algorithm and subtractive clustering algorithm. Procedia Comput Sci 54:764\u2013771. https:\/\/doi.org\/10.1016\/j.procs.2015.06.090","journal-title":"Procedia Comput Sci"},{"key":"21182_CR36","unstructured":"Eldarova E, Starovoitov V, Iskakov K (2021) Comparative analysis of universal methods no reference quality assessment of digital images. J Theor Appl Inf Technol 99(9)"},{"key":"21182_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2022.103579","volume":"87","author":"Q He","year":"2022","unstructured":"He Q, Yang C, Yang F, An P (2022) Unsupervised blind image quality assessment based on joint structure and natural scene statistics features. J Vis Commun Image Represent 87:103579. https:\/\/doi.org\/10.1016\/j.jvcir.2022.103579","journal-title":"J Vis Commun Image Represent"},{"key":"21182_CR38","doi-asserted-by":"publisher","unstructured":"Han X, Wu Z, Wu Z, Yu R, Davis LS (2018) VITON: an image-based virtual try-on network, arXiv preprint arXiv:1711.08447, https:\/\/doi.org\/10.48550\/arXiv.1711.08447","DOI":"10.48550\/arXiv.1711.08447"},{"key":"21182_CR39","unstructured":"Minar MR, Tuan TT, Ahn H, Rosin P, Lai YK (2020) CP-VTON+: clothing shape and texture preserving image-based virtual try-on, Proc. CVPR Workshops, pp. 1006\u20131010"},{"key":"21182_CR40","doi-asserted-by":"crossref","unstructured":"Lewis KM, Varadharajan S, Kemelmacher-Shlizerman I (2021) TryOnGAN: Body-Aware Try-On via layered interpolation. ArXiv Preprint arXiv:2101.02285","DOI":"10.1145\/3450626.3459884"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-026-21182-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-026-21182-0","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-026-21182-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T11:35:48Z","timestamp":1770982548000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-026-21182-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,13]]},"references-count":40,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2026,2]]}},"alternative-id":["21182"],"URL":"https:\/\/doi.org\/10.1007\/s11042-026-21182-0","relation":{},"ISSN":["1573-7721"],"issn-type":[{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,13]]},"assertion":[{"value":"24 July 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 October 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 December 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 February 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"The authors declare that they have no conflicts of interest regarding the publication of this manuscript.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"172"}}