Easyfashion system mixes human and ai to design custom clothes
EasyFashion: A Human-AI Co-Creation System for Personalized Fashion Design and Sewing Pattern Generation
Human-Computer Interaction
Summary
Making clothes that fit well and look good can be hard and expensive. The authors created EasyFashion, a tool that helps people design clothing to their taste and size with help from AI. Users can try clothes virtually on 3D models of themselves and get patterns to sew the garments in real life. The system uses photos and descriptions to turn ideas into designs that can actually be made.
What this means in practice
- •For fashion designers: Create and refine personalized clothing designs using combined human input and AI assistance with virtual try-on and sewing patterns.$Commercial implications: Enables designers to offer customized garment creation services with efficient digital design and production capabilities.
- •For home sewing enthusiasts: Generate accurate sewing patterns from personalized designs to produce custom clothes at home with virtual fitting previews.
Authors
Hong Qu, Zhaoxiang Xu, Jinbo Luo, Yujie Zhao, Jie Zhang, Yadie Yang
Abstract
People often want garments that reflect their aesthetic preferences, fit their bodies, and meet their sizing needs, yet turning these requirements into physical garments remains difficult. Ready-to-wear options provide limited personalization, while custom tailoring is costly and time-consuming. Recent generative artificial intelligence (AI) systems can visualize garment ideas but often stop short of supporting downstream production. To address this gap, we present EasyFashion, a human-AI co-creation system that enables users to iteratively refine design intent for personalized garment style and size, evaluate designs through virtual try-on on reconstructed personal avatars, and generate sewing patterns for garment production. Using reference images, text descriptions, and body photos as input, EasyFashion translates user intent into structured garment specifications and try-on results. Technical experiments, user studies, and a real-world production case demonstrate the value of EasyFashion for multimodal design expression, body-specific evaluation, and production-oriented outputs in personalized garment design.