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Self-Similarity Based Texture Editing

机译:基于自相似性的纹理编辑

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We present a simple method of interactive texture editing that utilizes self-similarity to replicate intended operations globally over an image. Inspired by the recent successes of hierarchical approaches to texture synthesis, this method also uses multi-scale neighborhoods to assess the similarity of pixels within a texture. However, neighborhood matching is not employed to generate new instances of a texture. We instead locate similar neighborhoods for the purpose of replicating editing operations on the original texture itself, thereby creating a fundamentally new texture. This general approach is applied to texture painting, cloning and warping. These global operations are performed interactively, most often directed with just a single mouse movement.
机译:我们提出了一种交互式纹理编辑的简单方法,该方法利用自相似性在图像上全局复制预期的操作。受纹理合成的分层方法的最新成功启发,该方法还使用多尺度邻域来评估纹理内像素的相似性。但是,不采用邻域匹配来生成纹理的新实例。相反,我们定位相似的邻域是为了在原始纹理本身上复制编辑操作,从而从根本上创建新的纹理。这种通用方法适用于纹理绘画,克隆和变形。这些全局操作是交互执行的,大多数情况下仅通过一次鼠标移动即可完成。

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