Virtual try-on for glasses

Frame shape against face shape, judged at face scale

The single hardest thing to guess from a product shot — and the category where a generated image has the least room to be approximate.

From the catalogue
Black Sun Glasses
Classic Sun Glasses
Green and Black Glasses

Nobody can tell whether a frame suits them from a photograph of the frame. Face shape is the variable and it is not in the picture. It is the clearest case in retail for showing the product on the person.

It is also the category where generation has the least margin, and it would be dishonest to sell the first point without the second.

Why it is harder than clothing

A garment is judged at body scale: a slightly wrong seam position is invisible. Glasses are judged at face scale, on a face the shopper knows better than any other image they will see that day. Small errors in how the frame sits — bridge position, temple angle, how much of the brow it cuts — are immediately obvious in a way that a slightly wrong hem is not.

Our pipeline is built for garments. Glasses work through the same path, and we have not run a category-specific quality benchmark on them. Treat this page as a description of the mechanism, not a performance claim.

What helps

A straight-on, well-lit, face-forward photograph. Off-angle shots are where frame placement goes wrong first. A clean product image of the frame against a plain background gives the model the clearest read of shape and colour.

What to expect

Overall frame shape, proportion against the face and colour come through. Fine detail — hinge hardware, a subtle temple pattern, brand marking — does not reliably. Lens tint reads as an impression rather than a specification.

Questions

Is this as good as a dedicated eyewear try-on?

Dedicated eyewear tools use face landmark tracking and 3D frame models, which is a different technique from image generation and is better at exact placement. What this gives you is one integration across your whole catalogue, glasses included, rather than a separate product for one category.

Does it need a special photograph?

Face-forward and well lit. Poor angle is the main cause of a bad frame result.

Will prescription or tint show?

No. Tint appears as a rough visual impression. Nothing in the output is an optical specification.

Has this category been benchmarked?

Not yet. The quality gate has not been run per category, and we are not going to publish a pass rate we have not measured.

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