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A GPU Laplacian Solver for Diffusion Curves and Poisson Image Editing

机译:用于扩散曲线和泊松图像编辑的GPU拉普拉斯解算器

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We present a new Laplacian solver for minimal surfaces-surfaces having a mean curvature of zero everywhere except at some fixed (Dirichlet) boundary conditions. Our solution has two main contributions: First; we provide a robust rasterization technique to transform continuous boundary values (diffusion curves) to a discrete domain. Second; we define a variable stencil size diffusion solver that solves the minimal surface problem. We prove that the solver converges to the right solution; and demonstrate that it is at least as fast as commonly proposed multigrid solvers; but much simpler to implement. It also works for arbitrary image resolutions; as well as 8 bit data. We show examples of robust diffusion curve rendering where our curve rasterization and diffusion solver eliminate the strobing artifacts present in previous methods. We also show results for real-time seamless cloning and stitching of large image panoramas.
机译:我们提出了一种用于最小曲面的新拉普拉斯求解器,该曲面在某些固定(Dirichlet)边界条件下,各处平均曲率均为零。我们的解决方案有两个主要贡献:我们提供了一种鲁棒的光栅化技术,可以将连续边界值(扩散曲线)转换为离散域。第二;我们定义了一个可变的模具尺寸扩散求解器,可以解决最小的表面问题。我们证明求解器收敛到正确的解;并证明它至少与通常提出的多网格求解器一样快;但更容易实现。它也适用于任意图像分辨率。以及8位数据我们展示了鲁棒的扩散曲线渲染的示例,其中我们的曲线栅格化和扩散求解器消除了以前方法中存在的选通伪像。我们还显示了实时无缝克隆和拼接大图像全景图的结果。

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