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    3D Model Generation

    3D Glasses Models From Your Photos — In Minutes

    Upload your existing product photos. We handle pre-processing, 3D reconstruction, and post-processing — automatically. Production-ready 3D models, no 3D artist, no per-frame fee.

    3D eyewear model rendered live on a face via the TryOn Virtual widget
    Minutes
    From photo to 3D model
    Zero
    3D artists required
    Auto
    Goes live in widget
    Multi-image
    Input for best results

    Photos in, try-on live — in four steps

    An AI eyewear 3D model builder is a software pipeline that converts standard product photos into production-ready 3D models for virtual try-on. It replaces the traditional eyewear modeling workflow — which typically requires a dedicated 3D artist, brief revisions, and 1–4 weeks of turnaround — with three automated stages that run in minutes. Pre-processing handles image alignment, background removal, lighting correction, and material detection. The reconstruction step infers full 3D geometry from your 2D photos. Post-processing then bakes PBR materials, optimizes polygon count for mobile AR, and adds a face-tracking rig. The result is a real-time-ready 3D asset that auto-activates in your try-on widget and works across Shopify, WooCommerce, and custom platforms.

    Step 01

    Pick your photos

    In your Shopify admin, select up to 4 product images per frame. Front, side, and 45° angles give the best result — but even a single hero shot works.

    Step 02

    AI builds the model

    Hit Generate. Pre-processing, 3D reconstruction, and post-processing all run in parallel. Most models complete in minutes — no human steps in between.

    Step 03

    Preview the fit

    Inspect the model in the Fit Editor — scrub position, scale, and rotation directly on a live webcam face. Make tiny adjustments or accept the defaults.

    Step 04

    Auto-goes live

    On approval, the model links to the product and activates in your try-on widget. Shoppers can try the frame on instantly — no re-publishing required.

    What the AI Builds for You

    Every model ships production-ready: accurate geometry, baked PBR materials, and a polygon budget tuned for real-time mobile AR.

    Input

    Any Product Photo Works

    Trained on thousands of eyewear frames across styles and materials. Flat-lay or 45° catalog shots are all you need — no special photography setup, no lightbox.

    • Works with existing catalog images
    • Supports JPEG, PNG, and WebP
    • No special background or lighting required
    Speed

    Ready in Minutes

    Traditional 3D studios quote 1–4 weeks per frame. Our pipeline processes images in parallel and typically delivers a production-ready model within minutes of submission — not hours, not days.

    • Typically under five minutes per frame
    • Pre-process, reconstruct, and post-process in parallel
    • No queue between stages, no human handoffs
    Geometry

    Accurate Frame Geometry

    Bridge width, temple length, lens curvature, and hinge position are all inferred from your photos and built into a production-ready 3D model.

    • Frame shape and curvature faithfully reconstructed
    • Bridge and temple dimensions matched to photo proportions
    • AR-optimized mesh, ready for real-time use
    Materials

    PBR Materials, Baked In

    Lens tint, metalness, roughness, and transparency are extracted from your photos and baked into the material layer. Mirror coatings, gradients, and translucent acetate all render correctly.

    • Lens tint and transparency from photo analysis
    • Metal and acetate frame materials detected automatically
    • HDR-accurate reflections with zero setup
    Output

    AR-Optimized Output

    Polygon count is tuned for mobile performance, normals are smoothed for skin contact, and the model is compressed for fast CDN delivery — built for real-time AR from the start.

    • Mobile-friendly polygon budget
    • Compressed for fast CDN delivery
    • Face-tracking rig included for bridge & temple animation
    Automation

    Auto-Activates in Your Store

    When the model is ready, it links to your product and goes live in the try-on widget automatically — no manual upload, no copy-paste, no re-publishing.

    • Zero manual steps after submission
    • Safe auto-activation (only if no active model exists)
    • Widget updates instantly for shoppers

    Why Our Models Look Better Than Other AI 3D Tools

    Most AI 3D tools output noisy meshes, broken materials, and polygon counts that stall mobile browsers. The raw reconstruction step is only one part of our pipeline — the quality comes from what happens before and after it. For a deeper comparison with traditional 3D studios, read our breakdown.

    Pre-processing: preparing images the right way

    Raw product photos go through automatic alignment, background removal, and lighting normalization before reconstruction begins. This step isolates the frame geometry cleanly — no background noise bleeding into the mesh, no blown-out highlights corrupting material extraction. Material class detection and lens transparency analysis run here too, so reconstruction starts with accurate signal rather than guessing from raw pixels.

    • Multi-image alignment and depth normalization
    • Automatic background removal and frame segmentation
    • Lighting correction to remove photography artifacts
    • Material class detection: metal, acetate, plastic, mixed
    • Lens transparency and tint analysis

    Post-processing: making the mesh production-ready

    Raw AI reconstruction produces meshes that are technically correct but not suitable for real-time AR — too many polygons, uneven normals, materials that haven't been baked into PBR channels. Our post-processing handles all of this automatically: mesh smoothing, topology cleanup, PBR material baking, LOD optimization, and face-tracking rig generation. What reaches your store is a production-ready file, not a raw reconstruction output.

    • Mesh smoothing and topology cleanup
    • PBR material baking (metalness, roughness, transparency)
    • Polygon optimization for 60fps mobile AR performance
    • Normal map generation to preserve surface detail at lower poly count
    • Automatic face-tracking rig for nose bridge and temple animation

    Everything runs automatically — in minutes

    Pre-processing, reconstruction, and post-processing are all automated steps in the same pipeline. You submit product photos; the entire sequence runs without manual intervention. Most models complete in minutes. You review the result in the Fit Editor and approve it, then it goes live in the eyewear virtual try-on widget on your storefront — the only human step in the process.

    Technical Specifications

    Designed to plug into your existing workflow — no new tools, no new photography, no waiting on agencies.

    InputUp to 4 product photos (JPEG / PNG / WebP)
    OutputAR-optimized 3D model with PBR materials baked in
    Processing timeTypically under five minutes
    ActivationAutomatic — widget live on completion
    PlatformShopify 2.0 (all themes) and merchant panel
    PhotographyWorks with existing catalog images

    Frequently Asked Questions

    Up to 4 product photos per frame. Front, side, and 45° angles produce the best result, but a single hero shot also works. JPEG, PNG, and WebP are all supported — no special photography setup required.
    Typically under five minutes per frame. Pre-processing, reconstruction, and post-processing all run in parallel through the same pipeline, so most models complete in minutes — not hours, not days.
    Every model is post-processed for real-time mobile AR. Polygon count is tuned for 60fps performance, normals are smoothed for natural skin contact, and the model is compressed for fast CDN delivery — so customers can try the frame on instantly, even on mid-range phones.
    No. Standard flat-lay or 45° catalog shots are enough — no lightbox, no special background, no relighting. The pipeline runs automatic alignment, background removal, and lighting correction before reconstruction begins.
    Yes — optical frames, sunglasses, metal, acetate, and mixed-material frames are all supported. Lens tint, gradient tints, mirror coatings, and translucent acetate are detected automatically and baked into the material layer.
    Yes. Before publishing, preview the model in the Fit Editor and scrub position, scale, and rotation directly on a live webcam face. Make small adjustments or accept the defaults, then approve to go live.
    It links to your product and activates in the try-on widget automatically — no manual upload, no copy-paste, no re-publishing. Auto-activation only triggers if the product doesn't already have an active 3D model, so it's safe by default.
    Most AI 3D tools output noisy meshes, broken materials, and polygon counts that stall mobile browsers. Our pipeline wraps reconstruction with pre-processing (alignment, background removal, lighting correction, material detection) and post-processing (mesh smoothing, topology cleanup, PBR baking, polygon optimization, face-tracking rig) — so what powers your try-on widget is a production-ready 3D model, not a raw reconstruction output.

    Your catalog. Your 3D models. Today.

    Stop waiting weeks and paying per model. Install TryOn Virtual and generate 3D eyewear models directly from your Shopify dashboard — your first frames are on us.