Diffusion Based VTON

Diffusion-based virtual try-on (VTON) aims to realistically render clothing onto images of people, enhancing online shopping experiences. Recent research focuses on improving the accuracy and realism of try-on results, particularly for challenging poses and clothing types, by employing advanced diffusion models and addressing issues like semantic inconsistencies and the need for precise masks. Key advancements include incorporating multi-view information, disentangling semantic features for improved garment warping, and developing novel loss functions to enhance detail and accuracy. This field significantly impacts e-commerce by providing more realistic and engaging virtual shopping experiences.