PhyDNet：Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
参考博客来源： link 主要思想是试图用深度网络构建物理约束模型，方法是用卷积模拟偏导，用moment loss作监督，学到物理信息，从而对已有的网络（文中使用ConvLSTM）进行信息补充。 如图，右边为已有深度网络可以捕捉到的信息，本文试图使用深度网络通过偏微分方程来建模先验物理知识，即左边的信息。最后将物理信息和已有信息结合获得更好的结果。 本文主要创新点在PhyCell，该单元的计算公式
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相关文章
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