Image-to-3D: Turn product photos into game-ready assets

Product 3D used to be a luxury reserved for top-tier e-commerce brands. A photo studio, a turntable, a modeller, a texture artist — easily $400 per SKU. For a 1,000-product catalogue that's a budget conversation, not a Tuesday afternoon.

Image-to-3D collapses that workflow. One reference photo, one click, a textured GLB ready for AR/VR pages and product configurators in under a minute.

How it works

Polyx's Image-to-3D pipeline does three things in parallel:

1. Depth estimation — a vision model infers depth from a single 2D image.
2. Mesh extraction — a manifold mesh is generated from the depth + silhouette signals.
3. Material transfer — base color, roughness, and metallic maps are predicted from the original image and projected onto the mesh.

Output: a clean GLB (or FBX/USDZ on demand) with PBR-ready textures. Polycount is configurable — anywhere from 2K to 50K tris depending on the use case.

Real numbers

One of our customers — a Singapore-based AR commerce shop — needed every product in their store available as USDZ for Apple Vision Pro shoppers. Photo budget allowed for hero photography only, no time for studio modelling.

The team uploaded 824 product photos over four weeks. Polyx generated 824 production-ready 3D models. Their conversion rate climbed 28% on Vision Pro traffic. Cost per asset: less than the price of a coffee.

Where it shines

• Hard-surface objects with clear silhouettes (cameras, sneakers, handbags).
• Furniture photographed against neutral backgrounds.
• Toys and collectibles with consistent material properties.

Where to be careful

Highly transparent or reflective objects (glass, chrome) give Image-to-3D a hard time — both depth estimation and material prediction get noisy. For those cases, drop into AI Texturing with a hand-modelled mesh, or wait for our multi-view fusion endpoint (Q3 2026).

Try it now

If you have a product photo handy, paste it into /generate right now. First five generations are on us.