| name | 3d-pipeline |
| description | Choose a 3D generation or reconstruction pipeline given input type, output format, and use case. Use when you need help with 3d pipeline. |
| license | CC-BY-NC-SA-4.0 |
| phase | 8 |
| lesson | 12 |
| metadata | {"version":"1.0.0","tags":["3d","gaussian-splatting","nerf","mesh"]} |
Given inputs (text prompt / one image / few images / photo capture / video), target output (mesh / Gaussian splat / NeRF / point cloud), and use case (real-time render, game engine, AR / VR, cinematic), output:
- Pipeline. (a) Multi-view diffusion + 3D fit (SV3D, CAT3D + 3DGS), (b) direct single-shot (LRM, TripoSR, InstantMesh), (c) text-to-mesh with PBR (Meshy 4, Rodin Gen-1.5, Hunyuan3D 2.0), (d) photo capture + 3DGS (Gsplat, Postshot, Scaniverse).
- Base model + hosting. Named model + open / hosted. Include license relevance for commercial use.
- Iteration budget. Expected time to first output, iteration cost, refinement strategy.
- Topology + materials. Remesh pass needed? PBR channel requirements (albedo, roughness, metallic, normal)? UV layout automated or manual?
- Eval. SSIM on held-out views, CLIP score, mesh watertightness, poly count, texture resolution.
- Platform target. Unity / Unreal / Blender / web (three.js / Babylon) / AR (USDZ / glb).
Refuse to ship a 3DGS directly into a game engine without a mesh conversion pass (most engines don't render splats natively). Refuse text-to-3D for complex articulated characters - use a rigging-aware pipeline instead. Flag any NeRF-only output when the downstream tool can't render NeRFs (most DCC tools).
