Unified Smooth Vector Graphics: Modeling Gradient Meshes and Curve-based Approaches Jointly as Poisson Problem

Xingze Tian, Tobias Günther
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Abstract

Research on smooth vector graphics is separated into two independent research threads: one on interpolation-based gradient meshes and the other on diffusion-based curve formulations. With this paper, we propose a mathematical formulation that unifies gradient meshes and curve-based approaches as solution to a Poisson problem. To combine these two well-known representations, we first generate a non-overlapping intermediate patch representation that specifies for each patch a target Laplacian and boundary conditions. Unifying the treatment of boundary conditions adds further artistic degrees of freedoms to the existing formulations, such as Neumann conditions on diffusion curves. To synthesize a raster image for a given output resolution, we then rasterize boundary conditions and Laplacians for the respective patches and compute the final image as solution to a Poisson problem. We evaluate the method on various test scenes containing gradient meshes and curve-based primitives. Since our mathematical formulation works with established smooth vector graphics primitives on the front-end, it is compatible with existing content creation pipelines and with established editing tools. Rather than continuing two separate research paths, we hope that a unification of the formulations will lead to new rasterization and vectorization tools in the future that utilize the strengths of both approaches.
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统一平滑矢量图形:将梯度网格和基于曲线的方法联合建模为泊松问题
关于平滑矢量图形的研究分为两个独立的研究方向:一个是基于插值的梯度网格,另一个是基于扩散的曲线公式。在本文中,我们提出了一种将梯度网格和基于曲线的方法统一起来的数学公式,作为泊松问题的解决方案。为了将这两种众所周知的表征方法结合起来,我们首先生成了一种非重叠中间补丁表征方法,为每个补丁指定了目标拉普拉斯和边界条件。边界条件的统一处理为现有公式增加了更多的艺术自由度,例如扩散曲线上的诺伊曼条件。为了合成给定输出分辨率的栅格图像,我们先将边界条件和各自斑块的拉普拉斯栅格化,然后将最终图像作为泊松问题的解进行计算。我们对包含梯度网格和曲线基元的各种测试场景进行了评估。由于我们的数学公式与前端已有的平滑矢量图形基元配合使用,因此与现有的内容创建流水线和编辑工具兼容。我们希望,与其继续走两条不同的研究道路,不如将两种方法统一起来,从而在未来开发出新的光栅化和矢量化工具,充分利用两种方法的优势。
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