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Using Generative AI to Enhance the Visuals of Papers

dc.contributor.authorPfützenreuter, Niklas
dc.date.accessioned2024-08-21T11:08:36Z
dc.date.available2024-08-21T11:08:36Z
dc.date.issued2024
dc.description.abstractGenerative Artificial Intelligence (GenAI) provides new capabilities to generate figures and other visual elements for papers. This can help researchers to enhance the visual quality of their papers. However, there are also challenges when generating images or visual elements, such as the complexity of describing visual content with a text prompt. This paper describes how GenAI can be effectively used in researchers’ workflows. It further discusses solutions for existing challenges in generating images from textual descriptions, like using tools like ControlNet and IP Adapter or specifically trained image generation model checkpoints. Lastly, the paper shows how GenAI can be used to generate LateX code for visual elements like tables or diagrams.en
dc.identifier.doi10.18420/muc2024-mci-ws09-169
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44301
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2024 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.rightshttps://creativecommons.org/licenses/by/4.0/
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleUsing Generative AI to Enhance the Visuals of Papersen
dc.typeText/Workshop Paper
gi.conference.date1.-4. September 2024
gi.conference.locationKarlsruhe
gi.conference.sessiontitleMCI-WS09: Workshop on Generative Artificial Intelligence in Interactive Systems: Experiences from the Community

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