A novel video interpolation network to improve the temporal resolutions of video sequences is proposed in this work.We develop a multi-scale warping module to interpolate intermediate Spacers frames robustly for both small and large motions.Specifically, the proposed multi-scale warping module deals with large motions between two consecutive frames using coarse-scale features, while estimating detailed local motions by exploring fine-scale features.To this end, it takes multi-scale features from the encoder and estimates kernel weights and offset vectors for each scale.
Finally, it synthesizes multi-scale warping frames and combines them Oats to obtain an intermediate frame.Extensive experimental results demonstrate that the proposed algorithm outperforms state-of-the-art video interpolation algorithms on various benchmark datasets.