Tree-D Studio
Canvas to Relief
AI‑assisted preservation
Transform paintings into tactile 3D reliefs
Tree‑D converts historic canvases into depth‑aware 3D objects. We analyze brushwork with Marigold normal estimation, translate luminance into displacement, and craft roughness maps for a realistic museum‑grade surface.
Featured Relief
01
Curatorial Search
Browse the Met collection and select works for relief conversion.
02
Studio View
Inspect each painting in a gallery‑grade 3D viewer with raking light.
03
Experimental Demo
Test custom IDs or upload your own image for rapid prototyping.
Technology
Depth inference meets conservation craft
We combine AI‑generated normals with procedural smoothing to preserve pigment flow, then translate it into displacement for genuine relief. Roughness maps retain varnish and glaze variation.
AR Placement
View the relief in your room (iPhone)
- Find a painting from the archive and export the USDZ file.
- Download the USDZ to your iPhone (Files app).
- Tap the file to open Quick Look, then place the painting using AR.
The AR result should resemble the sample below (Thank you Verdio Wong =D).
