De-Stijl: Facilitating Graphics Design with Interactive 2D Color Palette Recommendation

要旨

Selecting a proper color palette is critical in crafting a high-quality graphic design to gain visibility and communicate ideas effectively. To facilitate this process, we propose De-Stijl, an intelligent and interactive color authoring tool to assist novice designers in crafting harmonic color palettes, achieving quick design iterations, and fulfilling design constraints. Through De-Stijl, we contribute a novel 2D color palette concept that allows users to intuitively perceive color designs in context with their proportions and proximities. Further, De-Stijl implements a holistic color authoring system that supports 2D palette extraction, theme-aware and spatial-sensitive color recommendation, and automatic graphical elements (re)colorization. We evaluated De-Stijl through an in-lab user study by comparing the system with existing industry standard tools, followed by in-depth user interviews. Quantitative and qualitative results demonstrate that De-Stijl is effective in assisting novice design practitioners to quickly colorize graphic designs and easily deliver several alternatives.

著者
Xinyu Shi
University of Waterloo, Waterloo, Ontario, Canada
Ziqi Zhou
University of Waterloo, Waterloo, Ontario, Canada
Jing Wen Zhang
University of Waterloo, Waterloo, Ontario, Canada
Ali Neshati
University of Waterloo, Waterloo, Ontario, Canada
Anjul Kumar Tyagi
Stony Brook University, Stony Brook, New York, United States
Ryan Rossi
Adobe Research, San Jose, California, United States
Shunan Guo
Adobe Research, San Jose, California, United States
Fan Du
Adobe Research, San Jose, California, United States
Jian Zhao
University of Waterloo, Waterloo, Ontario, Canada
論文URL

https://doi.org/10.1145/3544548.3581070

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Creative Applications

Room Y07 + Y08
6 件の発表
2023-04-27 18:00:00
2023-04-27 19:30:00