Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.02759 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866914784269565952 |
|---|---|
| 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 |