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3D Tessellation

by Ergo Cogito Design·Modeling

Images © Ergo Cogito Design. Used for product review; image policy.

Why we like it

3D Tessellation stands out in the superhive library for bringing volumetric Delaunay and Voronoi subdivision to Blender, filling a gap the native tools leave open at 2D tessellation.

What is 3D Tessellation?

3D Tessellation brings Delaunay and Voronoi subdivision to Blender, built on the Geometry Nodes system in Blender 5. It grew out of an attempt to reproduce trabecular bone geometry, a structure Blender's native tools couldn't create — those cover only 2D tessellation, and the Cell Fracture addon keeps cells separate for fractures rather than continuous structures. A Python script handles the tessellation directly from a manifold mesh.

The algorithm works in four steps: extracting the mesh surface with adaptive subdivision, generating internal points with density proportional to your Weight Paint, clipping cells against the original boundary, and handling complex cavities. Delaunay produces a tetrahedron-based, uniform internal mesh suited to FEM simulations and physical analysis, while Voronoi builds organic cell-based structures with a Surface→Volume precision algorithm and cavity handling above 95% accuracy.

Weight Paint controls cell size across the mesh, and Smart Lloyd relaxation smooths cells over one to five iterations while preserving that density distribution. The included Smooth SFD Geometry Nodes asset turns tessellation edges into organic surfaces with a non-destructive modifier and real-time preview. Post-processing removes duplicate vertices and dissolves planar faces, cutting polygon count while preserving edge sharpness.

Who is 3D Tessellation best for?

3D Tessellation is best for architectural visualization, FEM/CFD simulation, abstract art and rendering, and game assets.

How much does 3D Tessellation cost?

3D Tessellation is completely free to download and use.

Key features

  • Two algorithms in one kit: Delaunay tetrahedra for FEM simulations and physical analysis, and Voronoi organic cells with cavity handling above 95% accuracy
  • Four-step generation: surface extraction with adaptive subdivision, internal point generation, boundary clipping, and handling of complex cavities
  • Weight Paint density control — red areas produce small, dense cells; blue areas produce large, sparse cells
  • Smart Lloyd relaxation, weight-based, running one to five iterations from organic to crystalline while preserving density distribution
  • Smooth SFD Geometry Nodes asset — one-click, non-destructive modifier with real-time preview, combinable with other modifiers
  • Post-processing that removes duplicate vertices and dissolves planar faces, reducing polygon count 20–50% while preserving edge sharpness

Tags

#geometry nodes#tessellation#procedural#voronoi#delaunay#weight paint#FEM

Frequently asked questions

Does 3D Tessellation work with Blender 5?

3D Tessellation is built on Blender's Geometry Nodes system and was developed in Blender 5, so that version is the reference environment for its Python script and node group. The tessellation runs directly on a manifold input mesh, and the included Smooth SFD Geometry Nodes asset works as a non-destructive modifier with real-time preview. For confirmation of support across other Blender releases, check the developer's page, since the details here center on the Blender 5 workflow it was designed around.

What's the difference between the Delaunay and Voronoi modes in 3D Tessellation?

3D Tessellation ships two algorithms. Delaunay builds a tetrahedron-based, uniform internal mesh with extremely fast generation, which the developer positions for FEM simulations and physical analysis. Voronoi produces organic, cell-based structures using a Surface→Volume precision algorithm, with cavity handling rated above 95% accuracy and adaptive density driven by Weight Paint. Both run through the same four-step process — surface extraction, internal point generation, boundary clipping, and cavity handling — so the choice comes down to whether you want uniform tetrahedra or natural, organic cell patterns.

How does Weight Paint control cell density in 3D Tessellation?

3D Tessellation reads a Weight Paint layer to set cell size across your mesh. Red areas at weight 1.0 produce small, dense cells; yellow at 0.5 gives medium cells; and blue at 0.0 yields large, sparse cells. The internal point generation step places points with density proportional to those weights. Smart Lloyd relaxation then smooths the cells over one to five iterations while preserving that distribution, so high-weight zones stay compact and low-weight zones stay uniform. This suits organic modeling, architectural design, FEM analysis, and targeted artistic detail.

What does the Smooth SFD asset do in 3D Tessellation?

3D Tessellation includes the Smooth SFD Geometry Nodes asset, which transforms tessellation edges into smooth, continuous surfaces reminiscent of internal trabecular bone structure. It applies in one click as a non-destructive modifier, offers real-time preview, and can be combined with other modifiers. Alongside it, the automatic post-processing removes duplicate vertices with an adaptive threshold and dissolves planar faces, reducing polygon count by 20–50% while preserving edge sharpness for cleaner render-ready results.

Is 3D Tessellation free?

3D Tessellation is listed as free in this catalog. For current licensing terms and any conditions attached to its use, check the developer's page on superhive, since that's where the up-to-date details live. The kit combines the Python tessellation script and the Smooth SFD Geometry Nodes asset together, and a three-minute demo video is available on YouTube if you'd like to see more before installing.

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