Potentialities of AIGC: Digital Fashion
DOI:
https://doi.org/10.62051/e2nw8f05Keywords:
AIGC, NFT, digital fashion, video game, avatar customization.Abstract
This paper explores the potentiality of generative AI (AIGC) in the video game business, fashion business and cultural perspective of digital fashion. By analyzing three contemporary cases-The Sims 4, Balenciaga x Fortnite, and Zepeto, the study investigates the differentiation from traditional customization to branded digital social experiences and fully AI powered personalization. Research reveals that technological sophistication is no longer the primary obstacle. AIGC have developed sufficiently to produce high-quality, visually impactful digital fashion assets. The true burden lies in construction and conveying market value for each piece, ensuring its scarcity and emotional resonance to drive user eagerness to pay. This paper proposed that integrating AI generators with blockchain technologies, NFTs, can offer validated ownership and user loyalties, transforming digital items into collectible, transactable digital assets that form a sustainable revenue stream. These findings contribute to understanding how digital fashion evolves from digital accessories into a profitable economic ecosystem, facilitates users’ engagement, social presence and chronic platform profitability.
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[1] Mcdowell Maghan, Digital fashion is alive and well for Gen Z, Vogue Business, 2023.
[2] Chan Hazel Hoi Yau Chan, Henninger Claudia, Boardman Rosy, Cano Marta Blazquez, The adoption of digital fashion as an end product: A systematic literature review of research foci and future research agenda, University of Manchester, 2023, 15(1): 1-2.
[3] Cao Yihan, Li Siyu, Liu Yixin, Yan Zhiling, Dai Yutong, Yu Phili S., Sun Lichao, A Comprehensive survey of AI-generated content (AIGC): A history of generative AI from GAN and ChatGPT, 37(4):3
[4] Argyrou Georgia, Dmitriou Angeliki, Lymperaiou Maria, Filandrianos Giorgos, Stamou Giorgos, Prompt2fashion: An automatically generated fashion dataset, 2024, (2): 3-4.
[5] Argyrou Georgia, Dmitriou Angeliki, Lymperaiou Maria, Filandrianos Giorgos, Stamou Giorgos, Prompt2fashion: An automatically generated fashion dataset, 2024, (2): 5.
[6] Hall Johnathon, Schofield Damian, The value of creativity: Human produces art vs. AI-generated art, State University of New York(Oswego), 2025, 13(1).
[7] Chan Hazel Hoi Yau Chan, Henninger Claudia, Boardman Rosy, Cano Marta Blazquez, The adoption of digital fashion as an end product: A systematic literature review of research foci and future research agenda, University of Manchester, 2023, 14:1120910.
[8] Li X, The customization of avatars in games: Effects on user identification and emotional connection. JMIR Formative Research, 2024, 8(1).
[9] Ouhnni Hamid, Btissam Acim, Meryam Belhiah, Bouchti El Karim, Yassine S. Zaoui, Lagmiri N. Souad, Rigalma Benachir, Ziti Soumia. Standardized digital fashion: Mass production, revenue, and challenges in user engagement. Frontiers in Virtual Reality, 2025, 6: 1496128.
[10] Gonzalez-Franco Mar, Steed Anthony, Berger C. Chritopher, Tajadura-Jiménez, The impact of first-person avatar customization on embodiment in immersive virtual reality, 2024, 5:1436752.
[11] Ouhnni Hamid, Btissam Acim, Meryam Belhiah, Bouchti El Karim, Yassine S. Zaoui, Lagmiri N. Souad, Rigalma Benachir, Ziti Soumia. Standardized digital fashion: Mass production, revenue, and challenges in user engagement. Frontiers in Virtual Reality, 2025, 6: 1496128.
[12] Zixuan Jie. My avatar makes me feel good: Understanding virtual embodiment and its psychological impacts. Erasmus University Rotterdam, 2024, pp. 1–120.
[13] Phelps Nicole, Louis vuitton’s new capsule with league of legends brings French high fashion to online gaming-and vice versa, Vogue, 2019.
[14] Ahmed Rania, Ahmed Eman, Elbarbary Ahmed, Darwish Ashraf, Hassanien Ella Aboul, Fashion industry in the age of generative artificial intelligence and metaverse: A systematic review, arXiv:2505.17141, 2025, pp. 1–18.
[15] Phelps Nicole, Louis vuitton’s new capsule with league of legends brings French high fashion to online gaming-and vice versa, Vogue, 2019.
[16] Yiming Zhao, Yukun Chen, Xinning Gui. Having skin in the game: How players purchase representation in games. Proceedings of the ACM on Human-Computer Interaction, 2022, 6(CSCW2): 6.
[17] Yiming Zhao, Yukun Chen, Xinning Gui. Having skin in the game: How players purchase representation in games. Proceedings of the ACM on Human-Computer Interaction, 2022, 6: 20–22.
[18] Zhaoyang Liu, Yujie Luo, Yang Zhao, Yuming Jiang, Yujun Shen, Bo Dai. FashionSD-X: Controllable Generative Model for High-Quality and Efficient Fashion Image Synthesis. arXiv preprint, arXiv:2404.18591, 2024.
[19] DRESSX. Fashion for the digital natives: What brands need to know about virtual wearables. DRESSX News, 2023.
[20] Daniel Kraus, Klaus Richter, Julian Vogt. Non-fungible tokens (NFTs) and their value: Overview and future research agenda. Information, 2023, 14(1): 26.
[21] Antonio D’Ambrosio, Antonino Galati, Angelo Maria Siani, Francesca Simonella. Non-fungible tokens and the future of digital assets. Journal of Risk and Financial Management, 2022, 15(5): 215.
[22] Chenxi Zhao, Yiran Zhao. The impact of AI-generated art on the art market: Value perception and collectability. Open Journal of Social Sciences, 2024, 12(7): 120–134.
[23] Antonio D’Ambrosio, Antonino Galati, Angelo Maria Siani, Francesca Simonella. Non-fungible tokens and the future of digital assets. Journal of Risk and Financial Management, 2022, 15(5): 7.
[24] Prerna Juneja, Julian Frommel, Niels Henze, Max V. Birk. Avatar customization for multiplayer games: Balancing design consistency and unique identity expression. Frontiers in Virtual Reality, 2024, 5: 1436752.
[25] Zhaoyang Liu, Yujie Luo, Yang Zhao, Yuming Jiang, Yujun Shen, Bo Dai. FashionSD-X: Controllable generative model for high-quality and efficient fashion image synthesis. arXiv preprint, arXiv:2404.18591, 2024, 10.
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