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      <title>VAE^ 2: Preventing Posterior Collapse of Variational Video Predictions in the Wild</title>
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      <description>&lt;p&gt;本文针对野外视频预测中变分模型的后验坍缩问题，提出VAE^2方法。通过设计有效的潜在变量建模与训练机制，避免解码器忽略潜在码，从而增强模型对复杂动态场景的表征能力，提升视频预测的长期一致性与运动建模精度。实验表明该方法在多个视频预测基准上取得了优越性能。&lt;/p&gt;
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