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		<title>Cascaded Diffusion Model Generates Film Visual Effects From Text and Masks</title>
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		<pubDate>Sun, 18 Oct 2026 17:49:45 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[Automated]]></category>
		<category><![CDATA[CineFX-Diff]]></category>
		<category><![CDATA[Diffusion models]]></category>
		<category><![CDATA[film post-production]]></category>
		<category><![CDATA[generative]]></category>
		<category><![CDATA[generative AI]]></category>
		<category><![CDATA[models]]></category>
		<category><![CDATA[physics-aware refinement]]></category>
		<category><![CDATA[temporal consistency]]></category>
		<category><![CDATA[video generation]]></category>
		<category><![CDATA[visual]]></category>
		<category><![CDATA[visual effects]]></category>
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					<description><![CDATA[A cascaded conditional diffusion model called CineFX-Diff generates high-fidelity film visual effects from text prompts, reference frames, and spatial masks, outperforming leading video generators on all five core metrics while cutting parameters by up to 71.4 percent and earning strong ratings from professional post-production artists.]]></description>
		
		
		
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