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Motion interpolation

Known as: Auto motion plus, Soap opera effect, Frame interpolation 
Motion interpolation or motion-compensated frame interpolation (MCFI) is a form of video processing in which intermediate animation frames are… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Video frame interpolation aims to synthesize nonexistent frames in-between the original frames. While significant advances have… 
Highly Cited
2018
Highly Cited
2018
Video frame interpolation algorithms typically estimate optical flow or its variations and then use it to guide the synthesis of… 
Highly Cited
2018
Highly Cited
2018
Video super-resolution (VSR) aims to restore a photo-realistic high-resolution (HR) video frame from both its corresponding low… 
Highly Cited
2017
Highly Cited
2017
Standard video frame interpolation methods first estimate optical flow between input frames and then synthesize an intermediate… 
Highly Cited
2017
Highly Cited
2017
Given two consecutive frames, video interpolation aims at generating intermediate frame(s) to form both spatially and temporally… 
Highly Cited
2017
Highly Cited
2017
Video frame interpolation typically involves two steps: motion estimation and pixel synthesis. Such a two-step approach heavily… 
Highly Cited
2016
Highly Cited
2016
In this paper, we propose a generative model, Temporal Generative Adversarial Nets (TGAN), which can learn a semantic… 
Highly Cited
2015
Highly Cited
2015
Standard approaches to computing interpolated (in-between) frames in a video sequence require accurate pixel correspondences… 
Highly Cited
2007
Highly Cited
2007
In this work, we develop a new motion-compe (MC) interpolation algorithm to enhance the temporal resolution of video sequences… 
Highly Cited
1998
Highly Cited
1998
The article describes a system for real-time interpolated animation that addresses some of these problems. Through creating…