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<oembed><version>1.0</version><provider_name>End-to-End Infrared UAV Mapping: An Integrated Framework for Thermal Scene Reconstruction</provider_name><provider_url>https://mscvprojects.ri.cmu.edu/2025team16-2</provider_url><title>Related Work - End-to-End Infrared UAV Mapping: An Integrated Framework for Thermal Scene Reconstruction</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="GLCyCqu3k7"&gt;&lt;a href="https://mscvprojects.ri.cmu.edu/2025team16-2/related-work/"&gt;Related Work&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://mscvprojects.ri.cmu.edu/2025team16-2/related-work/embed/#?secret=GLCyCqu3k7" width="600" height="338" title="&#x201C;Related Work&#x201D; &#x2014; End-to-End Infrared UAV Mapping: An Integrated Framework for Thermal Scene Reconstruction" data-secret="GLCyCqu3k7" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Thermal scene reconstruction has recently seen substantial advances driven by the convergence of radiance field modeling, generative diffusion techniques, and physically grounded thermal modeling. Our work builds upon and extends three foundational directions: dynamic 3D reconstruction from drone imagery, thermodynamics aware modeling for time varying thermal phenomena, and perceptual guidance for infrared image super-resolution. Dynamic &hellip; Continue reading ""</description><thumbnail_url>https://cmu.box.com/shared/static/ta902iwcluaf832slhw6t70hzhrswiod.jpg</thumbnail_url></oembed>

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