Region-aware Color Smudging
Ying Jiang1, Pengfei Xu1, Congyi Zhang3, Hongbo Fu4, Henry Y K Lau1, Wenping Wang1, 5
1The University of Hong Kong, 2Shenzhen University, 3The University of British Columbia, 4City University of Hong Kong, 5Texas A&M University
Abstract
Color smudge operations from digital painting software enable users to create natural shading effects in high-fidelity paintings by interactively mixing colors. To precisely control results in traditional painting software, users tend to organize flat-filled color regions in multiple layers and smudge them to generate different color gradients. However, the requirement to carefully deal with regions makes the smudging process time-consuming and laborious, especially for non-professional users. This motivates us to investigate how to infer user-desired smudging effects when users smudge over regions in a single layer. To investigate improving color smudge performance, we first conduct a formative study. Following the findings of this study, we design SmartSmudge, a novel smudge tool that offers users dynamical smudge brushes and real-time region selection for easily generating natural and efficient shading effects. We demonstrate the efficiency and effectiveness of the proposed tool via a user study and quantitative analysis.
Video
BibTex
@article{jiang2024region,
title={Region-Aware Color Smudging},
author={Jiang, Ying and Xu, Pengfei and Zhang, Congyi and Fu, Hongbo and Lau, Henry and Wang, Wenping},
journal={IEEE Transactions on Visualization and Computer Graphics},
year={2024},
publisher={IEEE}
}