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AI for Good Innovate for Impact
Use Case - 4: AI-Driven Virtual Try-On and Garment Generation
System for Sustainable Indian Fashion 4.5: Manufacturing
Organization: Indian Institute of Information Technology Sonepat
Country: India
Contact person(s):
Dr. Vinay Kaushik, vkaushik@ iiitsonepat .ac .in, +91 9013241634
1 Use Case Summary Table
Item Details
Category Manufacturing
Problem Both designers and online shoppers struggle to visualize how outfits,
Addressed ranging from sarees and sherwanis to contemporary dresses and suits, will
appear on real bodies, resulting in high return rates. Additionally, a lack
of demand forecasting leads to overproduction and inventory waste. This
creates significant environmental and financial costs for brands and artisans
alike.
Key Aspects of 1. Using cutting-edge generative AI models like Stable Diffusion and
Solution Transformer-based networks, users can digitally try on garments with realis-
tic simulation of fabric drape, fit, and style.
2. AI-powered demand forecasting models will analyze trends and
consumer behavior to inform what should be designed or produced, mini-
mizing waste and aligning supply with actual demand.
Technology Generative AI, diffusion models, virtual try-on, demand forecasting system,
Keywords garment generation
Data Availabil- Public dataset (Apparel Classification for Indian Ethnic Clothes) found at [1]
ity
Metadata Photos, text prompts, sketches
(Type of Data)
467
