Region-Aware Color Smudging

Fuente: arXiv
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Autori principali: Jiang, Ying, Xu, Pengfei, Zhang, Congyi, Fu, Hongbo, Lau, Henry, Wang, Wenping
Natura: Preprint
Pubblicazione: 2024
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author Jiang, Ying
Xu, Pengfei
Zhang, Congyi
Fu, Hongbo
Lau, Henry
Wang, Wenping
author_facet Jiang, Ying
Xu, Pengfei
Zhang, Congyi
Fu, Hongbo
Lau, Henry
Wang, Wenping
contents 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
format Preprint
id arxiv_https___arxiv_org_abs_2405_02759
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Region-Aware Color Smudging
Jiang, Ying
Xu, Pengfei
Zhang, Congyi
Fu, Hongbo
Lau, Henry
Wang, Wenping
Graphics
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
title Region-Aware Color Smudging
topic Graphics
url https://arxiv.org/abs/2405.02759