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neural-reality-capture

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Use this skill for provider-independent reality capture that turns photographed or video-derived real places, objects, aerial sites, interiors, or people into photogrammetric meshes, NeRFs, or 3D Gaussian splats. It guides representation choice, capture planning, calibration and scale, reconstruction or training, cleanup, compression and LOD, coordinate and interchange handoff, visual/geometric QA, archival records, and property, location, people, and cultural rights checks. Do not use it for text-to-3D generation, synthetic asset invention, guaranteed metrology, or broad downstream finishing after handoff.

skills/production/3d-craft/neural-reality-capture/SKILL.md

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# Neural Reality Capture

Neural reality capture is the production craft of reconstructing or rendering a real subject from many overlapping observations. In this skill, the deliverable is one of three families:

- a photogrammetric mesh with textures, usually for game, VFX, GIS, cultural heritage, ecommerce, or DCC handoff;
- a NeRF or related neural radiance field, usually for high-quality novel-view rendering from known camera poses;
- a 3D Gaussian splat scene, usually for real-time free-viewpoint playback with radiance-field appearance.

Stay provider-independent. Choose tools by evidence, constraints, and handoff needs, not by brand habit. Do not promise metrology unless the request includes surveyed control, calibrated capture, uncertainty reporting, and a qualified measurement workflow. Do not expand into text-to-3D, generative resculpting, animation rigging, material lookdev beyond captured handoff, or broad finishing work that belongs downstream.

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