CVMay 27, 2021

FastRIFE: Optimization of Real-Time Intermediate Flow Estimation for Video Frame Interpolation

arXiv:2105.13482v218 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental improvement for video processing applications like slow-motion recording and compression.

The paper tackles video frame interpolation by proposing FastRIFE, a speed improvement over the RIFE model, achieving unspecified performance gains compared to other recent algorithms.

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

Code Implementations1 repo
Foundations

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