A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

[ACM TIST 2025] GenAI in Fashion: Overview, also includes 🔥latest papers, ⚙️metrics, 👀workshops, 🚀companies & products, ...)

A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-off.

Gen AI-Powered Virtual Try-On Clothes Platform Upload any model and garment image to preview realistic try-on results instantly. Built with Google Gemini, FastAPI, and React. Ideal for fashion, retail, and e-commerce.

Gen AI-Powered Virtual Try-On Clothes Platform Upload any model and garment image to preview realistic try-on results instantly. Built with Google Gemini, FastAPI, and React. Ideal for fashion, retail, and e-commerce.

Constructing Sneaker Embeddings Using Web Data to Reveal 22-Year History of Sneaker Designs

👗 Enhance your shopping experience by virtually trying on clothes with AI, creating realistic images from your uploaded photos effortlessly.

DeepFashion Image Classification is a project for deep learning-based clothing recognition using the DeepFashion dataset. It showcases reproducible pipelines and modular models (CNNs, ResNet, ViT, and more) for robust category classification. Designed for learning and experimentation within the fashion tech space.

Black Styles is an AI-powered clothing optimization app that helps men discover outfits tailored to their body type and measurements. The prototype launches with an ‘old money luxury’ aesthetic, but the platform is designed to support all style types.

AI-powered analysis of Paris Fashion Week 2025-26 runway images to uncover key fashion trends.

AI-powered personal color analysis tool that helps users determine the best color palette for their skin tone, hair, and eyes

ReWear is a full-stack web application that enables users to exchange unused clothing through direct swaps or a point-based system — promoting sustainable fashion, reducing textile waste, and encouraging community-driven circular fashion.

Advanced Fashion Scraper | Stylos Ecosystem. Intelligent extraction of products, prices, and images from fashion retailers like Zara and Mango. Part of the Stylos ecosystem, an AI-powered platform for trend analysis and personalized style recommendations. Built with Scrapy, Selenium, and MongoDB.

TailorMate SUTURA AI — An intelligent tailoring assistant that fuses AI, computer vision, and smart measurement technology to optimize fashion design, fitting, and garment production for tailors, designers, and manufacturers.

Full-stack web CAD application for easy digital garment pattern creation. Features parametric design, interactive 2D editing, PDF export, and more. Built with Next.js, NestJS, Paper.js, and MongoDB.

A 3D-Printed LED Dress

Node.js + Express backend for an online clothing store. Provides product, user, order, and payment APIs, with integrated AI recommender for personalized fashion recommendations.

Intelligent multi-agent AI system for virtual clothing try-on with automatic 3-view generation. Built with Google ADK & Gemini AI. 🎨👔✨

ブラウザで3Dアバター・衣装の断面を計測するミニマルツール

AI-Powered Virtual Try-On WordPress Plugin using Google Gemini Nano Banana