Creative Blends of Visual Concepts
Fuente:
arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866913703203438592 |
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| author | Sun, Zhida Zhang, Zhenyao Zhang, Yue Lu, Min Lischinski, Dani Cohen-Or, Daniel Huang, Hui |
| author_facet | Sun, Zhida Zhang, Zhenyao Zhang, Yue Lu, Min Lischinski, Dani Cohen-Or, Daniel Huang, Hui |
| contents | Visual blends combine elements from two distinct visual concepts into a single, integrated image, with the goal of conveying ideas through imaginative and often thought-provoking visuals. Communicating abstract concepts through visual blends poses a series of conceptual and technical challenges. To address these challenges, we introduce Creative Blends, an AI-assisted design system that leverages metaphors to visually symbolize abstract concepts by blending disparate objects. Our method harnesses commonsense knowledge bases and large language models to align designers' conceptual intent with expressive concrete objects. Additionally, we employ generative text-to-image techniques to blend visual elements through their overlapping attributes. A user study (N=24) demonstrated that our approach reduces participants' cognitive load, fosters creativity, and enhances the metaphorical richness of visual blend ideation. We explore the potential of our method to expand visual blends to include multiple object blending and discuss the insights gained from designing with generative AI. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_16062 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Creative Blends of Visual Concepts Sun, Zhida Zhang, Zhenyao Zhang, Yue Lu, Min Lischinski, Dani Cohen-Or, Daniel Huang, Hui Human-Computer Interaction Graphics Visual blends combine elements from two distinct visual concepts into a single, integrated image, with the goal of conveying ideas through imaginative and often thought-provoking visuals. Communicating abstract concepts through visual blends poses a series of conceptual and technical challenges. To address these challenges, we introduce Creative Blends, an AI-assisted design system that leverages metaphors to visually symbolize abstract concepts by blending disparate objects. Our method harnesses commonsense knowledge bases and large language models to align designers' conceptual intent with expressive concrete objects. Additionally, we employ generative text-to-image techniques to blend visual elements through their overlapping attributes. A user study (N=24) demonstrated that our approach reduces participants' cognitive load, fosters creativity, and enhances the metaphorical richness of visual blend ideation. We explore the potential of our method to expand visual blends to include multiple object blending and discuss the insights gained from designing with generative AI. |
| title | Creative Blends of Visual Concepts |
| topic | Human-Computer Interaction Graphics |
| url | https://arxiv.org/abs/2502.16062 |