C2Ideas: Supporting Creative Interior Color Design Ideation with Large Language Model
Yihan Hou, Manling Yang, Hao Cui, Lei Wang, Jie Xu, Wei Zeng

TL;DR
C2Ideas is a novel system that leverages large language models to assist interior designers in creatively generating and refining color schemes aligned with user intentions and design principles.
Contribution
It introduces a three-stage process and interactive interface for intent-aligned color ideation in interior design using domain-oriented language models.
Findings
Effective in generating coherent color schemes
High user recognition of interactive features
Demonstrated usefulness through case studies
Abstract
Interior color design is a creative process that endeavors to allocate colors to furniture and other elements within an interior space. While much research focuses on generating realistic interior designs, these automated approaches often misalign with user intention and disregard design rationales. Informed by a need-finding preliminary study, we develop C2Ideas, an innovative system for designers to creatively ideate color schemes enabled by an intent-aligned and domain-oriented large language model. C2Ideas integrates a three-stage process: Idea Prompting stage distills user intentions into color linguistic prompts; Word-Color Association stage transforms the prompts into semantically and stylistically coherent color schemes; and Interior Coloring stage assigns colors to interior elements complying with design principles. We also develop an interactive interface that enables flexible…
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Taxonomy
TopicsColor perception and design
