PhyDNet：Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
參考博客來源： link 主要思想是試圖用深度網絡構建物理約束模型，方法是用卷積模擬偏導，用moment loss作監督，學到物理信息，從而對已有的網絡（文中使用ConvLSTM）進行信息補充。 如圖，右邊爲已有深度網絡可以捕捉到的信息，本文試圖使用深度網絡通過偏微分方程來建模先驗物理知識，即左邊的信息。最後將物理信息和已有信息結合獲得更好的結果。 本文主要創新點在PhyCell，該單元的計算公式
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相關文章
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