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Asymmetric Bilateral Motion Estimation for Video Frame Interpolation

2021-08-15ICCV 2021Code Available1· sign in to hype

Junheum Park, Chul Lee, Chang-Su Kim

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Abstract

We propose a novel video frame interpolation algorithm based on asymmetric bilateral motion estimation (ABME), which synthesizes an intermediate frame between two input frames. First, we predict symmetric bilateral motion fields to interpolate an anchor frame. Second, we estimate asymmetric bilateral motions fields from the anchor frame to the input frames. Third, we use the asymmetric fields to warp the input frames backward and reconstruct the intermediate frame. Last, to refine the intermediate frame, we develop a new synthesis network that generates a set of dynamic filters and a residual frame using local and global information. Experimental results show that the proposed algorithm achieves excellent performance on various datasets. The source codes and pretrained models are available at https://github.com/JunHeum/ABME.

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Benchmark Results

DatasetModelMetricClaimedVerifiedStatus
MSU Video Frame InterpolationABMEPSNR27.99Unverified
UCF101ABMEPSNR35.38Unverified
Vimeo90KABMEPSNR36.18Unverified
X4K1000FPSABMEPSNR30.16Unverified

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