[논문]Multi-Scale Warping for Video Frame Interpolation

Choi, Whan; Koh, Yeong Jun; Kim, Chang-Su

doi:10.1109/access.2021.3126593

[해외논문] Multi-Scale Warping for Video Frame Interpolation 원문보기

IEEE access : practical research, open solutions, v.9, 2021년, pp.150470 - 150479

Choi, Whan (Korea University, School of Electrical Engineering, Seoul, South Korea) , Koh, Yeong Jun (Chungnam National University, Daejeon, South Korea) , Kim, Chang-Su (Korea University, School of Electrical Engineering, Seoul, South Korea)

Abstract ▼ AI-Helper

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 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 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.

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