Taming the Power of Diffusion Models for High-Quality Virtual Try-On with Appearance Flow

Understand

Virtual try-on is a critical image synthesis task that aims to transfer clothes from one image to another while preserving the details of both humans and clothes.

• While many existing methods rely on Generative Adversarial Networks (GANs) to achieve this, flaws can still occur, particularly at high resolutions.
• Recently, the diffusion model has emerged as a promising alternative for generating high-quality images in various applications.
• However, simply using clothes as a condition for guiding the diffusion model to inpaint is insufficient to maintain the details of the clothes.