Workflow: Photogrammetry → Game-ready (Pro)

This walkthrough takes a messy photogrammetry mesh and produces an engine-ready asset: clean quads, normalized texel density, LOD chain, QA validation, and export with guards.

What you’ll get

• Stable quad topology suitable for downstream edits
• Consistent texel density
• LOD0–LOD3 with silhouette protection
• QA heatmaps for density + UV stretch
• Export using a preset + guards

Inputs

• High-poly photogrammetry mesh (triangulated, noisy)
• Optional high-res texture set
• Target engine: Unity / Unreal / glTF

Step 0 — Units & scale

Before touching density or LODs, make sure scale is correct. Density is meaningless if scale is wrong.

• Open Unit & Scale Doctor
• Apply target profile (Unity meters / Unreal centimeters)
• Confirm transforms are clean

Step 1 — Decide: Manual vs Pipeline

If only parts of the mesh need help, start in Manual Mode. If you want a repeatable result, use Pipeline Mode. In this walkthrough we use Pipeline first, then local manual fixes.

Step 2 — Quadify pass

Run the main conversion. Keep it conservative; you can always do a second pass locally.

Step 3 — Cleanup & stabilization

• Run Multi-Pass Cleanup conservatively
• Use Planar & Diagonal Cleanup only where appropriate

Step 4 — Texel density normalization

• Open Texel Density
• Set target px/m for this asset class
• Apply, then validate in Heatmaps

Step 5 — UDIM packing (optional)

Only do this if the asset requires multiple tiles.

• See UDIM Packing

Step 6 — LOD generation

• Open LOD Generation
• Pick a LOD Profile that matches the asset importance
• Validate silhouette and shading per LOD

Step 7 — QA checks

• Run Heatmaps (density + stretch)
• Run Scan & Fix for pipeline hazards

Step 8 — Export (preset + guards)

• Choose Export Presets
• Enable Export Guards
• Export

Common failures

• Density looks wrong: scale is wrong (fix Step 0)
• LOD shimmer: silhouette protection is too weak
• UV stretch hotspots: fix locally in Manual Mode

Save this as a recipe

If this workflow will be repeated, capture it as a Recipe and add it to your Recipe Library. Then you can scale it with Batch Processing.