In an era where technology is constantly influencing the retail landscape, the intersection of artificial intelligence and the fashion industry presents unimaginable potential to enhance the online retail experience. This project presents a new Virtual Try-On pipeline integrated into an iOS mobile application, overcoming one of the most significant challenges of online fashion retail: the inability to physically try on fashion garments before purchasing them. The proposed implementation leverages state-of-the-art machine learning technologies to offer an effortless and realistic online virtual try-on experience. The integrated pipeline incorporates advanced algorithms for precise body measurement analysis, texture and clothing mapping, transforming the way the users interact with fashion online by allowing them to see themselves in their favorite outfits in a matter of seconds. The implementation focuses on optimizing performance for iOS devices while still maintaining high-quality visualization results. Special attention has been paid to create an inclusive experience, so the system works beautifully in different body shapes, style, and even various lighting conditions. By prioritizing user comfort and confidence, the solution aims to make online fashion shopping as natural and enjoyable as trying on clothes in a physical store. The experimental results show the system's effectiveness in terms of visualization accuracy, processing speed, and overall user experience. The conducted user interviews uncover a significant increase in shopping confidence and return rates drop after using the feature. This project contributes to the field of AI-powered fashion technology by providing a practical, user-centric solution that aims to transform the online shopping experience into something more personal and comfortable. The developed implementation not only enhances the consumer shopping journey but also paves the way for a future where technology and fashion blend smoothly to create more joyful and confident shopping experiences for everyone.
In un'epoca in cui la tecnologia influenza costantemente il panorama del commercio al dettaglio, l'intersezione tra intelligenza artificiale e industria della moda presenta un potenziale inimmaginabile per migliorare l'esperienza di vendita al dettaglio online. Questo progetto presenta una nuova pipeline di Prova Virtuale integrata in un'applicazione mobile iOS, superando una delle sfide più significative del commercio di moda online: l'impossibilità di provare fisicamente i capi di abbigliamento prima di acquistarli. L'implementazione proposta sfrutta tecnologie di apprendimento automatico all'avanguardia per offrire un'esperienza di prova virtuale online semplice e realistica. La pipeline integrata utilizza algoritmi avanzati per l'estrazione delle misure corporee e la mappatura dei tessuti, permettendo agli utenti di vedersi indossare i loro outfit preferiti in pochi secondi. L'implementazione si concentra sull'ottimizzazione delle prestazioni per dispositivi iOS mantenendo al contempo risultati di visualizzazione di alta qualità. Il sistema è progettato per funzionare efficacemente con diverse forme corporee, stili e condizioni di illuminazione, garantendo un'esperienza inclusiva. Dando priorità al comfort e alla fiducia dell'utente, la soluzione mira a rendere lo shopping di moda online naturale e piacevole quanto provare i vestiti in un negozio fisico. I risultati sperimentali mostrano l'efficacia del sistema in termini di accuratezza della visualizzazione, velocità di elaborazione ed esperienza utente complessiva. Le interviste agli utenti condotte rivelano un aumento significativo della fiducia negli acquisti e una diminuzione dei tassi di reso dopo aver utilizzato la funzione di prova virtuale. Questo progetto contribuisce al campo della tecnologia della moda basata sull'IA fornendo una soluzione pratica e incentrata sull'utente che mira a trasformare l'esperienza di shopping online in qualcosa di più personale e confortevole. L'implementazione sviluppata non solo migliora il percorso di acquisto del consumatore, ma apre anche la strada a un futuro in cui tecnologia e moda si fondono armoniosamente per creare esperienze di shopping più gioiose e sicure per tutti.
AI-powered virtual try-on: realistic clothing visualisation
Fatu, Miruna Maria
2024/2025
Abstract
In an era where technology is constantly influencing the retail landscape, the intersection of artificial intelligence and the fashion industry presents unimaginable potential to enhance the online retail experience. This project presents a new Virtual Try-On pipeline integrated into an iOS mobile application, overcoming one of the most significant challenges of online fashion retail: the inability to physically try on fashion garments before purchasing them. The proposed implementation leverages state-of-the-art machine learning technologies to offer an effortless and realistic online virtual try-on experience. The integrated pipeline incorporates advanced algorithms for precise body measurement analysis, texture and clothing mapping, transforming the way the users interact with fashion online by allowing them to see themselves in their favorite outfits in a matter of seconds. The implementation focuses on optimizing performance for iOS devices while still maintaining high-quality visualization results. Special attention has been paid to create an inclusive experience, so the system works beautifully in different body shapes, style, and even various lighting conditions. By prioritizing user comfort and confidence, the solution aims to make online fashion shopping as natural and enjoyable as trying on clothes in a physical store. The experimental results show the system's effectiveness in terms of visualization accuracy, processing speed, and overall user experience. The conducted user interviews uncover a significant increase in shopping confidence and return rates drop after using the feature. This project contributes to the field of AI-powered fashion technology by providing a practical, user-centric solution that aims to transform the online shopping experience into something more personal and comfortable. The developed implementation not only enhances the consumer shopping journey but also paves the way for a future where technology and fashion blend smoothly to create more joyful and confident shopping experiences for everyone.| File | Dimensione | Formato | |
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2025_10_Fatu.pdf
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https://hdl.handle.net/10589/243572