  Existing works reduce motion blur and up-convert frame rate through two
separate ways, including frame deblurring and frame interpolation. However, few
studies have approached the joint video enhancement problem, namely
synthesizing high-frame-rate clear results from low-frame-rate blurry inputs.
In this paper, we propose a blurry video frame interpolation method to reduce
motion blur and up-convert frame rate simultaneously. Specifically, we develop
a pyramid module to cyclically synthesize clear intermediate frames. The
pyramid module features adjustable spatial receptive field and temporal scope,
thus contributing to controllable computational complexity and restoration
ability. Besides, we propose an inter-pyramid recurrent module to connect
sequential models to exploit the temporal relationship. The pyramid module
integrates a recurrent module, thus can iteratively synthesize temporally
smooth results without significantly increasing the model size. Extensive
experimental results demonstrate that our method performs favorably against
state-of-the-art methods.
