Publication | ACM UIST 2023
WorldSmith
Iterative and Expressive Prompting for World Building with a Generative AI
Abstract
WorldSmith: Iterative and Expressive Prompting for World Building with a Generative AI
Hai Dang, Frederik Brudy, George Fitzmaurice, Fraser Anderson
ACM UIST 2023
Crafting a rich and unique environment is crucial for fictional world-building, but can be difficult to achieve since illustrating a world from scratch requires time and significant skill. We investigate the use of recent multi-modal image generation systems to enable users iteratively visualize and modify elements of their fictional world using a combination of text input, sketching, and region-based filling. WorldSmith enables novice world builders to quickly visualize a fictional world with layered edits and hierarchical compositions. Through a formative study (4 participants) and first-use study (13 participants) we demonstrate that WorldSmith offers more expressive interactions with prompt-based models. With this work, we explore how creatives can be empowered to leverage prompt-based generative AI as a tool in their creative process, beyond current “click-once” prompting UI paradigms.
Download publicationRelated Resources
2023
From Steps to Stories with The Bentway
Check out how we’re using data to tell stories with The Bentway…
2022
Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders.
Nature has spent billions of years perfecting our genetic…
2011
OrgOrgChart: The Evolution of an Organization
This project looks at the evolution of a company’s structure over…
2021
Software Learning
This learning project investigates advanced techniques for assisting…
Get in touch
Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.
Contact us