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Scanvas is presented, an AI-supported system for systematically discovering and developing synergistic design opportunities and enables users to surface and develop significantly higher-quality, synergistic concepts compared to LLM ideation baselines.
This work introduces a shared structural representation that decomposes ideas into purpose, mechanism, and implementation components and organizes related components in a multi-layer concept graph and defines measures of pairwise similarity and set-level mechanism coverage for assessing idea diversity.
ReVision is presented, an AI-based tool that decomposes visual and textual references into editable conceptual interpretations and visual motifs, enables their recombination across conceptual and visual spaces, and renders each direction as divergent visual-form variations, supporting more divergent exploration during...
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