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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>Jamie Shotton</author_name><author_url>https://www.microsoft.com/en-us/research/people/jamiesho/</author_url><title>Semantic Photo Synthesis - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="uBV7pPXS5G"&gt;&lt;a href="https://www.microsoft.com/en-us/research/publication/semantic-photo-synthesis/"&gt;Semantic Photo Synthesis&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/semantic-photo-synthesis/embed/#?secret=uBV7pPXS5G" width="600" height="338" title="&#x201C;Semantic Photo Synthesis&#x201D; &#x2014; Microsoft Research" data-secret="uBV7pPXS5G" 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>Composite images are synthesized from existing photographs by artists who make concept art, e.g., storyboards for movies or architectural planning. Current techniques allow an artist to fabricate such an image by digitally splicing parts of stock photographs. While these images serve mainly to &#x201C;quickly&#x201D; convey how a scene should look, their production is laborious. We [&hellip;]</description></oembed>
