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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Kaiming He</author_name><author_url>https://www.microsoft.com/en-us/research/people/kahe/</author_url><title>Statistical Image Completion - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="vnmeVHnZy3"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/statistical-image-completion/"&gt;Statistical Image Completion&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/statistical-image-completion/embed/#?secret=vnmeVHnZy3" width="600" height="338" title="&#x201C;Statistical Image Completion&#x201D; &#x2014; Microsoft Research" data-secret="vnmeVHnZy3" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>Image completion involves filling missing parts in images. In this paper we address this problem through novel statistics of patch offsets. We observe that if we match similar patches in the image and obtain their offsets (relative positions), the statistics of these offsets are sparsely distributed. We further observe that a few dominant offsets provide [&hellip;]</description></oembed>
