Original scientific paper
Designing the future: AI-powered TTF logo-inspired patterns for apparel and accessories
Rahela Strinić
; University of Zagreb Faculty of Textile Technology, Zagreb, Croatia
Vanja Landripet
; University of Zagreb Faculty of Textile Technology, Zagreb, Croatia
Tomislav Rolich
orcid.org/0000-0003-0165-9555
; University of Zagreb Faculty of Textile Technology, Zagreb, Croatia
Slavenka Petrak
orcid.org/0000-0002-6595-6527
; University of Zagreb Faculty of Textile Technology, Zagreb, Croatia
*
Maja Mahnić Naglić
orcid.org/0000-0001-9216-5483
; University of Zagreb Faculty of Textile Technology, Zagreb, Croatia
* Corresponding author.
Abstract
Artificial intelligence is increasingly transforming digital apparel and accessory design by enhancing creative methodologies in fashion. This article explores AI's potential in generating textile print patterns, inspired by the logo of the University of Zagreb Faculty of Textile Technology. Using generative design methods, AI models create unique patterns derived from the logo’s design elements. A structured approach integrates design inspiration, computer modeling, and iterative creativity. Descriptive instructions, capturing key visual and conceptual aspects, guide AI in generating patterns for digital apparel and accessories. The generated textile patterns and textures were then utilized in the traditional digital design process for apparel and fashion accessories. The created collection of models was subsequently analyzed using artificial intelligence algorithms to discern style attributes and generate novel outputs — distinct apparel and accessory designs enhanced through iterative procedures customized to user preferences. The AI-generated variations of apparel and accessory models were assessed regarding quality, suitability for textile printing, scalability, repeatability, aesthetic appeal, and utility.
Keywords
clothing and accessory design; artificial intelligence; TTF logo; pattern generation
Hrčak ID:
332211
URI
Publication date:
16.6.2025.
Visits: 959 *