This project explores a scan-derived reconstruction workflow using real intraoral dental data. 
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The source geometry originated from a clinical dental scan, initially provided as a proprietary project file rather than a directly usable mesh. The first stage of the process involved inspecting and navigating the native scan viewer environment to successfully extract an OBJ representation of the raw data. 
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Upon evaluation, the scan geometry contained significant structural noise and topological inconsistencies typical of unprocessed capture data. The asset was transferred into ZBrush for cleanup, reconstruction, and controlled retopology to produce a stable, pipeline-friendly mesh while preserving the defining anatomical characteristics of the original scan.
Individual teeth were isolated, rebuilt, and re-projected to ensure clean surface continuity and predictable deformation behaviour. High-resolution detail from the scan was retained through projection and baking workflows rather than relying on dense geometry alone. 
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UV generation was handled through an automated approach, prioritizing efficiency and distortion minimization suitable for texture baking. Surface information was baked and processed in Substance 3D Painter, where material definition focused on maintaining coherent enamel and gingival response under real-time lighting conditions. 
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Final presentation and look development were completed in Marmoset Toolbag using a neutral evaluation setup designed to emphasize shading accuracy, material separation, and structural readability rather than stylized rendering. 
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This study primarily investigates scan usability, reconstruction strategy, and real-time material behavior for biologically derived forms. 
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Extended breakdown and reconstruction stages available here: 
https://www.artstation.com/blogs/calvincropley/N4M7d/scan-derived-dental-reconstruction-real-time-study-breakdown