OOTDiffusion is an AI virtual try-on system designed for controllable image synthesis. It generates images of people wearing specific clothing items by superimposing garments onto human figures for both half-body and full-body compositions.
The project facilitates digital fashion prototyping and virtual clothing fitting by creating garment-to-person overlays. It aims to maintain the original identity of the wearer and the specific details of the clothing during the synthesis process.
The system utilizes a latent diffusion model and conditioning-based image generation to control the output. It employs a cross-attention mechanism and dual-path feature fusion to align visual features from clothing images to the human figure.