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May, 2022
IFRNet:用于高效帧插值的中间特征精化网络
IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation
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Lingtong Kong, Boyuan Jiang, Donghao Luo, Wenqing Chu, Xiaoming Huang...
TL;DR
本文提出了一种基于编码器-解码器网络的视频帧插值方法IFRNet,该方法通过提取输入数据的金字塔特征和应用中间流场实现帧合成,同时引入了任务导向的光流蒸馏损失和几何一致性正则项进行优化,实验表明该方法具有出色的性能和快速的推理速度。
Abstract
Prevailing
video frame interpolation
algorithms, that generate the intermediate frames from consecutive inputs, typically rely on complex model architectures with heavy parameters or large delay, hindering them from diverse
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