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
@article{arxiv.2105.13482,
title = {FastRIFE: Optimization of Real-Time Intermediate Flow Estimation for Video Frame Interpolation},
author = {Malwina Kubas and Grzegorz Sarwas},
journal= {arXiv preprint arXiv:2105.13482},
year = {2021}
}
Comments
WSCG 2021 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision