Virtual try-on technology has become one of the more interesting applications of AI image generation. Instead of imagining how a jacket, dress, or shirt might look on someone, you can use a photograph to generate a visual preview.

The idea sounds simple: upload a person, upload a piece of clothing, and let AI combine them.

But producing a convincing result is more complicated than placing one image on top of another.

The generated clothing needs to follow the person's pose, preserve important visual details, and interact naturally with the rest of the image.

In this article, I'll explore what makes an AI clothing try-on result believable, why certain images work better than others, and how developers can evaluate virtual try-on quality.

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