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A Survey for Graphic Design Intelligence
September 04, 2023 ยท The Cartographer ยท ๐ arXiv.org
"No code URL or promise found in abstract"
"Title-pattern auto-detect: A Survey for Graphic Design Intelligence"
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Authors
Danqing Huang, Jiaqi Guo, Shizhao Sun, Hanling Tian, Jieru Lin, Zheng Hu, Chin-Yew Lin, Jian-Guang Lou, Dongmei Zhang
arXiv ID
2309.01371
Category
cs.HC: Human-Computer Interaction
Citations
13
Venue
arXiv.org
Last Checked
3 days ago
Abstract
Graphic design is an effective language for visual communication. Using complex composition of visual elements (e.g., shape, color, font) guided by design principles and aesthetics, design helps produce more visually-appealing content. The creation of a harmonious design requires carefully selecting and combining different visual elements, which can be challenging and time-consuming. To expedite the design process, emerging AI techniques have been proposed to automatize tedious tasks and facilitate human creativity. However, most current works only focus on specific tasks targeting at different scenarios without a high-level abstraction. This paper aims to provide a systematic overview of graphic design intelligence and summarize literature in the taxonomy of representation, understanding and generation. Specifically we consider related works for individual visual elements as well as the overall design composition. Furthermore, we highlight some of the potential directions for future explorations.
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