论文标题
模糊的视频框架插值
Blurry Video Frame Interpolation
论文作者
论文摘要
现有作品通过两种单独的方式减少了运动模糊和台面帧速率，包括框架插值和框架插值。但是，很少有研究解决联合视频增强问题，即从低框架速率模糊输入中综合了高框架速率的明确结果。在本文中，我们提出了一种模糊的视频框架插值方法，以同时减少运动模糊和上转换帧速率。具体而言，我们开发了一个金字塔模块，以循环合成清晰的中间帧。金字塔模块具有可调的空间接受场和时间范围，从而有助于控制计算复杂性和恢复能力。此外，我们提出了一个pyramid复发模块，以连接顺序模型以利用时间关系。金字塔模块集成了一个复发模块，因此可以迭代地合成时间平滑的结果而不会显着增加模型大小。广泛的实验结果表明，我们的方法对最先进的方法有利。
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.
