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Exploring Interactive Color Palettes for Abstraction-Driven Exploratory Image Colorization

Authors :
Shi, Xinyu
Liu, Mingyu
Zhou, Ziqi
Neshati, Ali
Rossi, Ryan
Zhao, Jian
Publication Year :
2024

Abstract

Color design is essential in areas such as product, graphic, and fashion design. However, current tools like Photoshop, with their concrete-driven color manipulation approach, often stumble during early ideation, favoring polished end results over initial exploration. We introduced Mondrian as a test-bed for abstraction-driven approach using interactive color palettes for image colorization. Through a formative study with six design experts, we selected three design options for visual abstractions in color design and developed Mondrian where humans work with abstractions and AI manages the concrete aspects. We carried out a user study to understand the benefits and challenges of each abstraction format and compare the Mondrian with Photoshop. A survey involving 100 participants further examined the influence of each abstraction format on color composition perceptions. Findings suggest that interactive visual abstractions encourage a non-linear exploration workflow and an open mindset during ideation, thus providing better creative affordance.<br />Comment: Accepted by CHI 2024

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2403.02202
Document Type :
Working Paper