Generative AI for Image Generation

Our institute harnesses the power of generative AI to create stunning, high-quality visualizations. Generative AI produces new images from scratch (unsupervised) or based on user inputs (via text and image prompts). These systems, often driven by Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs), generate highly realistic and diverse images that can be used in scientific publications and museums.

© Thomas Simeth

Our Expertise in Stable Diffusion

We specialize in using Stability AI’s Stable Diffusion model, a state-of-the-art generative AI tool that creates high-quality images from textual descriptions. Stable Diffusion employs a process that gradually refines random noise into coherent images. It is renowned for its efficiency and ability to produce detailed and diverse visual outputs from simple prompts.

Applications in Archaeology

Our application of generative AI extends to the field of archaeology, where we:

  • Reconstruct Archaeological Sites: Generate detailed reconstructions of damaged or incomplete archaeological sites.
  • Recreate Historical Scenes: Produce specific scenes, such as burial ceremonies, by combining textual prompts with image and shape mappings.

The Power of Generative AI

Generative AI transforms how we visualize and understand historical contexts. By blending modern technology with archaeological research, we can:

  • Preserve History: Create digital reconstructions that safeguard cultural heritage.
  • Enhance Research: Provide researchers with accurate and immersive visualizations of ancient sites and scenes.
  • Engage the Public: Offer interactive and engaging visual experiences that bring history to life.

Our institute is committed to leveraging generative AI to push the boundaries of archaeological visualization and preservation.

© Thomas Simeth
© Thomas Simeth
© Thomas Simeth