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</html><description>Recent advances in video generation have demonstrated impressive visual quality, but current models remain difficult to scale, control, and adapt to real-world use cases. Large video diffusion models are computationally expensive to train and slow to run, while still offering limited controllability over the generated content. Most systems rely on coarse global conditioning and support &hellip; Continue reading ""</description><thumbnail_url>https://mscvprojects.ri.cmu.edu/2025team2-1/wp-content/uploads/sites/135/2025/12/Screenshot-2025-12-12-at-1.01.43-PM.png</thumbnail_url><thumbnail_width>2102</thumbnail_width><thumbnail_height>982</thumbnail_height></oembed>

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