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Art Tools Referenced in Scientific Work
This page lists digital art tools that have been referenced in scientific and academic publications
as part of workflows in visualization, design communication, or creative research.
It aims to guide researchers and creators who wish to develop scientific work related to
digital art, computational creativity, human-computer interaction (HCI), and visual communication.
For updates, please send me a message: zeidan.mahmoud@protonmail.com
| Year | Publication | Context / Use in Research |
|---|
| 2021 |
Practical Pigment Mixing for Digital Painting |
The study compared the proposed color pigment mixing model with state-of-the-art digital painting tools, evaluating its accuracy against real-world pigment mixing behavior. |
| Year | Publication | Context / Use in Research |
|---|
| 2025 |
Image Vectorization via Gradient Reconstruction |
Introduces a vectorization technique that reconstructs smooth color gradients from raster images, producing compact and accurate vector representations.
Compared to Adobe Illustrator’s traditional vectorization—which relies solely on solid color fills and generates numerous complex paths—the proposed method achieves higher fidelity in tonal transitions and smoother shading.
|
| 2025 |
Single-Line Drawing Vectorization |
The study compared several design choices implemented in the proposed vectorization algorithm with Adobe Illustrator’s vector tracing functionality, analyzing differences in stroke continuity, curve fidelity, and handling of line junctions. |
| 2024 |
Ciallo: GPU-Accelerated Rendering of Vector Brush Strokes |
This study compared the proposed GPU-accelerated vector brush rendering method against art tools in terms of raster stroke rendering, vector precision, and GPU acceleration performance. |
| 2008 |
Diffusion Curves: A Vector Representation for Smooth-Shaded Images |
The proposed technique overcomes the limitations of traditional vector graphic curves by enabling smooth gradient value representation along and across curve boundaries, enhancing realism and tonal transitions in vector art. |
| Year | Publication | Context / Use in Research |
|---|
| 2021 |
Practical Pigment Mixing for Digital Painting |
The study compared the proposed color pigment mixing model with state-of-the-art digital painting tools, evaluating its accuracy against real-world pigment mixing behavior. |
| 2019 |
Stylized Image Triangulation |
The study evaluated the triangulation technique by comparing its results with manually created triangulations produced by two professional artists. One artist used Inkscape and the other used Photoshop, allowing a comparison between our automated approach and traditional manual digital art workflows. |
| Year | Publication | Context / Use in Research |
|---|
| 2015 |
Wetbrush: GPU-based 3D painting simulation at the bristle level |
The study highlights the visual outcomes of several virtual painting systems using identical stroke patterns. Traditional methods based on stamp maps or 2.5D height-field representations often fail to reproduce the natural irregularities and pigment blending observed in real brushwork. In contrast, the proposed system achieves realistic brush behavior with fine surface textures and physically consistent pigment variations within each stroke. |
| Year | Publication | Context / Use in Research |
|---|
| 2024 |
Ciallo: GPU-Accelerated Rendering of Vector Brush Strokes |
This study compared the proposed GPU-accelerated vector brush rendering method against art tools in terms of raster stroke rendering, vector precision, and GPU acceleration performance. |
| Year | Publication | Context / Use in Research |
|---|
| 2015 |
Wetbrush: GPU-based 3D painting simulation at the bristle level |
The study highlights the visual outcomes of several virtual painting systems using identical stroke patterns. Traditional methods based on stamp maps or 2.5D height-field representations often fail to reproduce the natural irregularities and pigment blending observed in real brushwork. In contrast, the proposed system achieves realistic brush behavior with fine surface textures and physically consistent pigment variations within each stroke. |
| Year | Publication | Context / Use in Research |
|---|
| 2025 |
Single-Line Drawing Vectorization |
The study quantitatively compared their method against the AutoTrace algorithm implemented in Inkscape. |
| 2024 |
Ciallo: GPU-Accelerated Rendering of Vector Brush Strokes |
This study compared the proposed GPU-accelerated vector brush rendering method against art tools in terms of raster stroke rendering, vector precision, and GPU acceleration performance. |
| 2019 |
Stylized Image Triangulation |
The study evaluated the triangulation technique by comparing its results with manually created triangulations produced by two professional artists. One artist used Inkscape and the other used Photoshop, allowing a comparison between our automated approach and traditional manual digital art workflows. |
| 2008 |
Diffusion Curves: A Vector Representation for Smooth-Shaded Images |
The proposed technique overcomes the limitations of traditional vector graphic curves by enabling smooth gradient value representation along and across curve boundaries, enhancing realism and tonal transitions in vector art. |
| Year | Publication | Context / Use in Research |
|---|
| 2024 |
Ciallo: GPU-Accelerated Rendering of Vector Brush Strokes |
This study compared the proposed GPU-accelerated vector brush rendering method against art tools in terms of raster stroke rendering, vector precision, and GPU acceleration performance. |
| 2021 |
Practical Pigment Mixing for Digital Painting |
The study compared the proposed color pigment mixing model with state-of-the-art digital painting tools, evaluating its accuracy against real-world pigment mixing behavior. |
| Year | Publication | Context / Use in Research |
|---|
| 2021 |
Practical Pigment Mixing for Digital Painting |
The study compared the proposed color pigment mixing model with state-of-the-art digital painting tools, evaluating its accuracy against real-world pigment mixing behavior. |
| Year | Publication | Context / Use in Research |
|---|
| 2021 |
Practical Pigment Mixing for Digital Painting |
The study compared the proposed color pigment mixing model with state-of-the-art digital painting tools, evaluating its accuracy against real-world pigment mixing behavior. |
| Year | Publication | Context / Use in Research |
|---|
| 2021 |
Practical Pigment Mixing for Digital Painting |
The study compared the proposed color pigment mixing model with state-of-the-art digital painting tools, evaluating its accuracy against real-world pigment mixing behavior. |
Adobe Fresco
Adobe Illustrator
Adobe Photoshop
ArtRage
Clip Studio Paint
Fresh Paint
Inkscape
Krita
Painter
Procreate
Rebelle