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Image → 3D

Early version

Photo → 3D Mesh

Lift a photo into a textured relief mesh you can export and model with.

The problem

Point clouds are hard to model with — most students need an actual surface they can drop into Rhino, Blender, or SketchUp. Rebuilding a reference as geometry by hand is slow.

What this does

Same on-device depth estimation as the point-cloud tool, but the depth map is turned into a displaced grid mesh with the photo as its texture. Export to OBJ or glTF and bring it straight into your modelling software as a relief / base surface.

Try it

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What it does

The estimated depth map is used as a heightfield: a regular grid is displaced along its normal by the depth value at each vertex, and the original photo is applied as a texture. The result is a continuous surface (a "relief" of the image) rather than loose points — ready to export.

Why it's useful

  • Get a modellable surface from a single reference image.
  • Export OBJ or glTF/GLB and open it in Rhino, Blender, SketchUp, or Unreal.
  • Useful for façade studies, terrain-like reliefs, and quick massing references.

Honest limits (early version)

  • It's a 2.5D relief, not a watertight solid — there's only one viewpoint of depth.
  • Steep depth discontinuities stretch the mesh; a depth threshold trims the worst of it.
  • Decimate / retopologise in your modeller for clean geometry.

The real pipeline (roadmap)

True single-image-to-mesh models (e.g. TripoSR, InstantMesh) hallucinate the unseen sides but need a GPU. This artifact is the honest, local, geometry-you-can-trust version.

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