Pfützenreuter, Niklas2024-08-212024-08-212024https://dl.gi.de/handle/20.500.12116/44301Generative 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.enhttps://creativecommons.org/licenses/by/4.0/Text/Workshop Paper10.18420/muc2024-mci-ws09-169