C2Ideas: Supporting Creative Interior Color Design Ideation with a Large Language Model

要旨

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 user refinement and interpretable reasoning. C2Ideas has undergone a series of indoor cases and user studies, demonstrating its effectiveness and high recognition of interactive functionality by designers.

著者
Yihan Hou
The Hong Kong University of Science and Technology, Guangzhou, Guangzhou, China
Manling YANG
The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China
Hao Cui
The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China
Lei WANG
China Academy of Art, Hangzhou, China
Jie Xu
China Academy of Art, Hangzhou, China
Wei Zeng
The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China
論文URL

doi.org/10.1145/3613904.3642224

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Creative Professionals and AI B

316C
5 件の発表
2024-05-13 20:00:00
2024-05-13 21:20:00