[ICLR 2025] CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) and 3) Simplified Inference (< 8G VRAM for 1024X768 resolution).

Official implementation of Magic Clothing: Controllable Garment-Driven Image Synthesis

[AAAI 2025]👔IMAGDressing👔: Interactive Modular Apparel Generation for Virtual Dressing. It enables customizable human image generation with flexible garment, pose, and scene control, ensuring high fidelity and garment consistency for virtual dressing.

MagicTryOn is a video virtual try-on framework based on a large-scale video diffusion Transformer.

Learning Disentangled Avatars with Hybrid 3D Representations. (Face, Body, Hair and Clothing)

Stable Fashion: A prompt based virtual try on repository

Official code for DOC-VTON. We provide visualization results of Awesome Virtual Tryon. Besides, we provide auxiliary data of VITON and VITON-HD for training and testing.

End2End Virtual Try-on with Visual Reference

Windows running repository of the pix2surf code of the paper "Learning to Transfer Texture from Clothing Images to 3D Humans"

Virtual try-on for creating a personal brand wardrobe collection.

Full-stack augmented reality and AI-powered virtual garment try-on system for e-commerce. Combines real-time AR preview with ML-powered photo-realistic virtual try-on using state-of-the-art deep learning models.