Abstract:Face video super-resolution algorithm aims to reconstruct realistic face details through continuous input video sequences. However, existing video processing algorithms usually contain redundant parameters to guarantee different super-resolution scenes. In this work, we focus on super-resolution of face areas in original video scenes, while rest areas are interpolated. This specific superresolved task makes it possible to cut redundant parameters in general video super-resolution networks. We construct a datas… Show more
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