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      <title>Microcinema: A divide-and-conquer approach for text-to-video generation</title>
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      <description>&lt;p&gt;本文提出 MicroCinema，一种简洁而有效的文本生成视频框架。它采用分而治之策略，将任务分解为文本生成图像和图像与文本联合生成视频两个阶段，从而充分利用现有文本到图像模型的强大能力，生成逼真且细节丰富的图像，并让视频模型更专注于运动动态的学习。为高效实现该策略，文章设计了外观注入网络和外观噪声先验，以增强外观保持和视频连贯性，在多个基准上取得了优越性能。&lt;/p&gt;
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