Example-based non-photorealistic rendering with a concept of inpainting

我们的研究重点是基于实例的NPR，以解决绘画渲染的问题。另一方面，修复是重建图像丢失或恶化部分的过程。NPR和图像修复在不同的领域都有研究，但方法非常相似。本研究采用并应用了图像修复算法来解决绘画式渲染问题。我们提出的算法利用能量最小化来解决基于示例的NPR的纹理分配和合成。

Our study focuses on example-based NPR to solve the problem of painterly rendering. On the other hand, inpainting is the process of reconstructing lost or deteriorated parts of images. NPR and inpainting have been studied in the different fields, but the approaches are very similar. Out study adopted and applied the algorithm of inpainting to solve the problem of painterly rendering. Our proposed algorithm exploited energyminimization to address the texture assignment and synthesis for example-based NPR.