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Multi-level Motion-Informed Approach for Video Generation with Key Frames

机译:具有关键帧的视频生成的多级运动信息方法

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Observing that a motion signal is decomposable into multiple levels, a video generation model which realizes this hypothesis is proposed. The model decomposes motion into a two-level signal involving a global path and local pattern. They are modeled via a latent path in the form of a composite Bezier spline along with a latent sine function respectively. In the application context, the model fills the research gap in its ability to connect an arbitrary number of input key frames smoothly. Experimental results indicate that the model improves in terms of the smoothness of the generated video. In addition, the ability of the model in separating global and local signal has been validated.
机译:观察到运动信号可分解为多个级别,提出了一种实现该假设的视频生成模型。该模型将运动分解为包含全局路径和局部模式的两级信号。它们通过潜在路径以复合Bezier样条曲线的形式与潜在正弦函数一起建模。在应用程序上下文中,该模型填补了其平滑连接任意数量的输入关键帧的能力的研究空白。实验结果表明,该模型在所生成视频的平滑度方面有所改善。此外,该模型分离全局和局部信号的能力已得到验证。

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