Painting by feature
Painting by feature
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DOI：
10.1145/2461912.2461956
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发表时间：
2013-07
期刊：
影响因子：
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通讯作者：
M. Lukác;J. Fiser;J. Bazin;Ondrej Jamriska;A. Sorkine-Hornung;D. Sýkora
中科院分区：
文献类型：
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作者：
M. Lukác;J. Fiser;J. Bazin;Ondrej Jamriska;A. Sorkine-Hornung;D. Sýkora
在本文中，我们提出了一个重新解释的画笔和填充工具的数字图像绘画。其核心思想是提供一种直观的方法，允许用户以任意示例图像的视觉风格进行绘制。而不是一个静态的颜色，画笔或填充模式库，我们为用户提供整个图像作为他们的调色板，他们可以从中选择任意的轮廓或纹理作为他们自己创作的画笔或填充工具。相比以前的基于示例的技术相关的绘画的数字范例，我们提出了一个新的策略，用户可以生成显着的纹理边界，我们的随机图遍历算法，并应用内容感知填充转移到定界区域的纹理。这个工作流程允许我们的系统的用户直观地创建视觉上吸引人的图像，更好地保留任意示例图像的视觉丰富性和流动性。我们展示了我们的方法在各种应用中的潜力，包括交互式图像创建，编辑和矢量图像风格化。
In this paper we propose a reinterpretation of the brush and the fill tools for digital image painting. The core idea is to provide an intuitive approach that allows users to paint in the visual style of arbitrary example images. Rather than a static library of colors, brushes, or fill patterns, we offer users entire images as their palette, from which they can select arbitrary contours or textures as their brush or fill tool in their own creations. Compared to previous example-based techniques related to the painting-by-numbers paradigm we propose a new strategy where users can generate salient texture boundaries by our randomized graph-traversal algorithm and apply a content-aware fill to transfer textures into the delimited regions. This workflow allows users of our system to intuitively create visually appealing images that better preserve the visual richness and fluidity of arbitrary example images. We demonstrate the potential of our approach in various applications including interactive image creation, editing and vector image stylization.