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[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).
[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.
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.
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.