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Department of Computational Linguistics

Prompt Engineering for Historical Image Generation

Summary

Problem: When we ask DALL-E “Show me the Forum Romanum in 20 CE.” it generates the image above. However, there were no ruins in 20 CE.

Aim: Together with the Department of History @ UZH, we want to optimise prompt engineering to create faithful images of historical places and events.

The "Re-Experiencing History" project focuses on using AI technology to visually recreate historical events and moments. Its aim is to develop a web application that converts historical texts into storyboards, comics, or individual images, addressing challenges in representing pre-modern era 'lost' history. The project will semantically enrich historical content and make it accessible through innovative visual interfaces, tackling issues like copyright and historical distortions arising from AI-generated images. It involves collaboration with libraries, archives, and historians, bridging computer technology, history, and citizen science.

 

UPDATE December 9, 2024

What if you could recreate the grandeur of a Roman triumph, ensuring every detail—from chariots to costumes—reflected authentic historical knowledge? This master thesis invites you to explore the cutting-edge field of prompt engineering for AI-generated historical imagery. You’ll experiment with crafting prompts that incorporate historical data and navigate contradictions in ancient sources to produce compelling and accurate visualizations.

This project isn’t just about technology—it’s about pushing the boundaries of how we visualize the past, redefining what it means for an image to be "historically accurate" or "better." If you’re passionate about merging AI with history, solving creative challenges, and contributing to the digital humanities, this thesis is your opportunity to bring the ancient world back to life. Join us to pioneer the future of historical storytelling!

Requirements

  • Python
  • Experience with image generation