The Infinite Index: Information Retrieval on Generative Text-To-Image Models

December 14, 2022 Β· Declared Dead Β· πŸ› Conference on Human Information Interaction and Retrieval

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Authors Niklas Deckers, Maik FrΓΆbe, Johannes Kiesel, Gianluca Pandolfo, Christopher SchrΓΆder, Benno Stein, Martin Potthast arXiv ID 2212.07476 Category cs.IR: Information Retrieval Cross-listed cs.CL, cs.CV Citations 20 Venue Conference on Human Information Interaction and Retrieval Last Checked 4 months ago
Abstract
Conditional generative models such as DALL-E and Stable Diffusion generate images based on a user-defined text, the prompt. Finding and refining prompts that produce a desired image has become the art of prompt engineering. Generative models do not provide a built-in retrieval model for a user's information need expressed through prompts. In light of an extensive literature review, we reframe prompt engineering for generative models as interactive text-based retrieval on a novel kind of "infinite index". We apply these insights for the first time in a case study on image generation for game design with an expert. Finally, we envision how active learning may help to guide the retrieval of generated images.
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