Demo Data from EDBT 2026 / reviewers in the wild / expert
Yingjia Li
dblp:240/2597
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0002-7966-0241ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Rendering · 75% Geometric modeling and processing · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Rendering
diffusion curves |
0.5 | 1 | 2021 | Vectorized Painting with Temporal Diffusion Curves · IEEE Trans. Vis. Comput. Graph. 2021 |
Rendering › non-photorealistic rendering
digital painting |
0.5 | 1 | 2021 | Vectorized Painting with Temporal Diffusion Curves · IEEE Trans. Vis. Comput. Graph. 2021 |
Rendering
stroke-based rendering |
0.5 | 1 | 2021 | Vectorized Painting with Temporal Diffusion Curves · IEEE Trans. Vis. Comput. Graph. 2021 |
Geometric modeling and processing › shape representation
vector graphics |
0.5 | 1 | 2021 | Vectorized Painting with Temporal Diffusion Curves · IEEE Trans. Vis. Comput. Graph. 2021 |
Methods — techniques the papers use, named apart from their topics
random-access solver · 0.5procedural stroke processing · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Vectorized Painting with Temporal Diffusion CurvesabstractThis paper presents a vector painting system for digital artworks. We first propose Temporal Diffusion Curve (TDC), a new form of vector graphics, and a novel random-access solver for modeling the evolution of strokes. With the help of a procedural stroke processing function, the TDC strokes can achieve various shapes and effects for multiple art styles. Based on these, we build a painting system of great potential. Thanks to the random-access solver, our method has real-time performance regardless of the rendering resolution, provides straightforward editing possibilities on strokes both at runtime and afterward, and is effective and straightforward for art production. Compared with the previous Diffusion Curve, our method uses strokes as the basic graphics primitives, which are able to intersect each other and much more consistent with the intuition and painting habits of human. We finally demonstrate that professional artists can create multiple genres of artworks with our painting system. Yingjia Li, Xiao Zhai, Fei Hou 0001, Aimin Hao, Hong Qin 0001 |
IEEE Trans. Vis. Comput. Graph. | 1 |