Video frame interpolation, the synthesis of novel views in time, is an
increasingly popular research direction with many new papers further advancing
the state of the art. But as each new method comes with a host of variables
that affect the interpolation quality, it can be hard to tell what is actually
important for this task. In this work, we show, somewhat surprisingly, that it
is possible to achieve near state-of-the-art results with an older, simpler
approach, namely adaptive separable convolutions, by a subtle set of low level
improvements. In doing so, we propose a number of intuitive but effective
techniques to improve the frame interpolation quality, which also have the
potential to other related applications of adaptive convolutions such as burst
image denoising, joint image filtering, or video prediction.

本文通过对动态插帧的一种简单方法 —— 自适应可分离卷积进行微调来实现近乎先进方法的结果，并提出了几种直观但有效的技术来改进插帧质量，这些技术也可以应用于自适应卷积的其他相关应用领域，如连拍图像去噪、联合图像滤波或视频预测。