TL;DR
FastRIFE is an optimized real-time video frame interpolation algorithm that improves speed over RIFE, enabling smoother slow-motion videos and better compression without sacrificing quality.
Contribution
The paper introduces FastRIFE, a faster version of RIFE, enhancing real-time performance for video frame interpolation with competitive quality.
Findings
FastRIFE achieves higher processing speed than RIFE.
The method maintains high interpolation quality.
Source code is publicly available for reproducibility.
Abstract
The problem of video inter-frame interpolation is an essential task in the field of image processing. Correctly increasing the number of frames in the recording while maintaining smooth movement allows to improve the quality of played video sequence, enables more effective compression and creating a slow-motion recording. This paper proposes the FastRIFE algorithm, which is some speed improvement of the RIFE (Real-Time Intermediate Flow Estimation) model. The novel method was examined and compared with other recently published algorithms. All source codes are available at https://gitlab.com/malwinq/interpolation-of-images-for-slow-motion-videos
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Taxonomy
MethodsParameterized ReLU · Convolution · IFBlock · Residual Connection · IFNet · RIFE
