2023 · 27 citations · 56 references
ComputingDesignGenerative DesignInformation RetrievalInteractive MediaImage RetrievalInteractive Generative SystemsInteractive Information RetrievalMultimedia RetrievalConditional Generative ModelsInteractive RetrievalInteractive Retrieval SystemsPrompt-based GenerationText RetrievalText-to-image GenerationUser-generated ImagesUser-guided Generation
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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Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza et al. · Communications of the ACM · 2020 · 13.6K citations · Full text
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal, Alex Nichol · arXiv (Cornell University) · 2021 · 2.2K citations · Full text
Andrei Broder · ACM SIGIR Forum · 2002 · 1.9K citations