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Automatic Text Box Placement for Supporting Typographic Design
Jun Muraoka, Daichi Haraguchi, Naoto Inoue +3
In layout design for advertisements and web pages, balancing visual appeal and communication efficiency is crucial. This study examines automated text box placement in incomplete l…
ColorGPT: Leveraging Large Language Models for Multimodal Color Recommendation
Ding Xia, Naoto Inoue, Qianru Qiu +1
Colors play a crucial role in the design of vector graphic documents by enhancing visual appeal, facilitating communication, improving usability, and ensuring accessibility. In thi…
Type-R: Automatically Retouching Typos for Text-to-Image Generation
Wataru Shimoda, Naoto Inoue, Daichi Haraguchi +3
While recent text-to-image models can generate photorealistic images from text prompts that reflect detailed instructions, they still face significant challenges in accurately rend…
Can GPTs Evaluate Graphic Design Based on Design Principles?
Daichi Haraguchi, Naoto Inoue, Wataru Shimoda +3
Recent advancements in foundation models show promising capability in graphic design generation. Several studies have started employing Large Multimodal Models (LMMs) to evaluate g…
Multimodal Markup Document Models for Graphic Design Completion
Kotaro Kikuchi, Ukyo Honda, Naoto Inoue +3
We introduce MarkupDM, a multimodal markup document model that represents graphic design as an interleaved multimodal document consisting of both markup language and images. Unlike…
LTSim: Layout Transportation-based Similarity Measure for Evaluating Layout Generation
Mayu Otani, Naoto Inoue, Kotaro Kikuchi +1
We introduce a layout similarity measure designed to evaluate the results of layout generation. While several similarity measures have been proposed in prior research, there has be…