Bridging the Semantic Gap in Computational Color Design: A Neurocognitively Validated Framework
TL;DR
This study proposes a neurocognitively validated framework to bridge the semantic gap between human intentions and generative tools in computational color design, addressing challenges in the AIGC-driven creative landscape.
Bridging the Semantic Gap in Computational Color Design: A Neurocognitively Validated Framework
Lin Li; Xinxiong Liu; Yali Wang
https://doi.org/10.1109/ACCESS.2025.3648792
Volume 14
Against the backdrop of the AIGC wave reshaping the creative design landscape, color design is rapidly transitioning from intuition-driven to data-intelligence. However, a critical “semantic gap” persists between abstract human intentions and controllable parameters of generative tools. To address this challenge, this study proposes and neurocognitively validates a computational framework for sema...