Charleston introduces his workshop, which provides a comprehensive pipeline for creating photogrammetry assets, from initial photo capture through final implementation. The techniques taught are software-agnostic until the final import stage, making this knowledge valuable for artists working across different 3D platforms and rendering engines. He emphasizes that understanding proper capture methods and software workflows will result in higher-quality assets with more efficient processing times.

Duration: 2m 45s

Successful photogrammetry requires careful planning during the capture phase, including consistent camera settings, proper image overlap, and methodical coverage of the subject. By capturing modular assets rather than monolithic environments and maintaining image dimensions of up to 5,000 pixels, artists can achieve high-quality 3D reconstructions while keeping file sizes manageable. Charleston's key to professional results lies in preparation, consistent technique during shooting, and proper image optimization before bringing assets into the software for solving.

Duration: 38m 16s

This lesson demonstrates that both Reality Capture and Metashape are viable photogrammetry solutions with distinct trade-offs. Charleston explains how Reality Capture excels in speed and ease of use but requires per-project payments, while Metashape offers superior consistency and control through its more granular workflow, particularly in the dense cloud-editing stage. His workflow emphasizes creating multiple mesh versions at different resolutions and isolating specific elements to facilitate efficient manual and automated retopology in subsequent software, such as Maya and ZBrush, ultimately producing game-ready or production-quality 3D assets from photographs.

Duration: 54m 16s

This lesson demonstrates an efficient pipeline for converting high-resolution photogrammetry scans into game-ready assets. By combining manual cleanup with automated retopology tools like ZRemesher, artists can quickly generate optimized meshes with clean topology while maintaining visual fidelity. Charleston's emphasis on preserving spatial coordinates throughout the process ensures seamless texture reprojection later in the pipeline, making this approach ideal for creating hero assets for real-time applications.

Duration: 9m 46s

This lesson demonstrates an efficient pipeline for processing photogrammetry scans by combining retopology in ZBrush with texture projection in Metashape. The retopologized mesh provides significantly cleaner geometry while Metashape's automatic UV generation and texture baking capabilities streamline the process without requiring manual UV unwrapping. The resulting asset is then ready for final material creation in Substance Painter, where Charleston demonstrates how multiple software tools can be integrated to deliver optimal 3D scanning results.

Duration: 4m 57s

This comprehensive lesson demonstrates professional techniques for transforming raw photogrammetry assets into game-ready materials in Substance Painter. The key takeaway is the importance of proper sequencing, particularly baking maps before repositioning geometry, and utilizing non-destructive layer workflows with strategic masking to achieve clean, optimized PBR textures. By combining automated baking with manual refinement techniques and efficient channel packing, artists can produce high-quality photorealistic assets suitable for real-time engines while maintaining manageable file sizes and performance.

Duration: 54m 22s

This final lesson provides a complete end-to-end workflow for bringing photogrammetry assets into Unreal Engine with professional optimization and organization practices. The emphasis on non-destructive techniques, proper naming conventions, and performance optimization through LODs and texture management makes this applicable to both individual projects and production environments. Charleston's demonstrated material function system creates a flexible, reusable framework that can be applied to multiple assets while maintaining consistency and ease of modification.

Duration: 52m 10s