Perspective
The Affordances of AI-Powered, Deepfake, Avatar Creator Systems in Archaeological Facial Depiction and the Related Changes in the Cultural Heritage Sector
This paper explores the evolving practice of archaeological facial depiction using AI-powered deepfake avatar creator software programs, such as Epic Games' MetaHuman Creator (MHC). These systems offer new affordances in terms of agility, realism, and engagement, building upon traditional workflows. We illustrate these affordances via real-world applications including four-dimensional portraits, multi-platform presentations, Augmented Reality (AR), and enhanced audience interaction. While acknowledging limitations like misrepresentation, we propose that MHC augments, rather than replaces, current practice, expanding storytelling and public learning in the GLAM sector.
Key Insights from this Research
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Deep Analysis & Enterprise Applications
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MetaHuman Creator significantly enhances the realism and emotional connection audiences form with historical figures. Its high fidelity and dynamic capabilities contribute to a more immersive and relatable experience, surpassing traditional CGI methods in user acceptance and combating the 'uncanny valley' effect.
Enterprise Process Flow
| Feature | Traditional Methods | AI-Powered Systems (MHC) |
|---|---|---|
| Diversity Representation | Manual control, artist-dependent | Limited by template library; risks homogenization |
| Accuracy of Features | High, specific to skeletal morphology | Forced symmetry, smoothing of anomalies, struggles with extreme features |
| Pathology/Trauma Depiction | Possible with skilled sculpting | Not natively supported, requires external 2D edits |
| Aging & Demographics | Flexible for all ages and conditions | Fewer templates for elderly/children; non-linear aging |
King Richard III Digital Avatar
The project created an expressive, dynamic avatar of King Richard III using MetaHuman Animator for performance capture. This allowed the medieval king to deliver an address with historical accuracy in voice and pronunciation, presented at York Theatre Royal and the King Richard III Visitors Centre. It demonstrated the power of AI to bring historical figures to life interactively.
Result: Over 100,000 unique audience interactions across multiple platforms, significantly boosting public engagement with history.
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Your AI Implementation Roadmap
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Phase 1: Discovery & Strategy
Assess existing archaeological data and heritage goals. Define target audience and desired engagement outcomes. Select initial historical figures for depiction and establish ethical guidelines.
Phase 2: Data Acquisition & Reconstruction
Digitize skeletal remains (3D scans/CT). Perform 3D facial reconstruction using traditional software (e.g., ZBrush, Geomagic). Compile historical/phenotypic data for realistic depiction parameters.
Phase 3: AI Avatar Creation & Refinement
Convert 3D reconstructions to MetaHumans using 'Mesh to MetaHuman'. Apply textures, hair, and clothing (hybrid approach for authenticity). Refine facial expressions and animations using MetaHuman Animator.
Phase 4: Integration & Deployment
Integrate MetaHumans into Unreal Engine for interactive scenes. Deploy across platforms (AR/VR/Exhibits/Web). Conduct user testing and gather feedback for iterative improvements.
Phase 5: Evaluation & Scaling
Measure audience engagement and learning outcomes. Document best practices and ethical considerations. Scale successful deployments to new projects and integrate AI tools into standard workflows.
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