LaDI-VTON is a virtual try-on system that synthesizes images of a target person wearing a given garment. It extends a latent diffusion model with a novel autoencoder module and learnable skip connections to enhance garment preservation and person fidelity. The approach uses textual inversion to enable garment-specific customization and was published at ACM Multimedia 2023.