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Motion interpolation
Known as:
Auto motion plus
, Soap opera effect
, Frame interpolation
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Motion interpolation or motion-compensated frame interpolation (MCFI) is a form of video processing in which intermediate animation frames are…
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Related topics
Related topics
18 relations
Active shutter 3D system
Central processing unit
Digital artifact
Display motion blur
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Broader (1)
Video processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Depth-Aware Video Frame Interpolation
Wenbo Bao
,
Wei-Sheng Lai
,
Chao Ma
,
Xiaoyun Zhang
,
Zhiyong Gao
,
Ming-Hsuan Yang
Computer Vision and Pattern Recognition
2019
Corpus ID: 90239045
Video frame interpolation aims to synthesize nonexistent frames in-between the original frames. While significant advances have…
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Highly Cited
2018
Highly Cited
2018
Context-Aware Synthesis for Video Frame Interpolation
Simon Niklaus
,
Feng Liu
IEEE/CVF Conference on Computer Vision and…
2018
Corpus ID: 4459013
Video frame interpolation algorithms typically estimate optical flow or its variations and then use it to guide the synthesis of…
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Highly Cited
2018
Highly Cited
2018
TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution
Yapeng Tian
,
Yulun Zhang
,
Y. Fu
,
Chenliang Xu
Computer Vision and Pattern Recognition
2018
Corpus ID: 54457337
Video super-resolution (VSR) aims to restore a photo-realistic high-resolution (HR) video frame from both its corresponding low…
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Highly Cited
2017
Highly Cited
2017
Video Frame Interpolation via Adaptive Separable Convolution
Simon Niklaus
,
Long Mai
,
Feng Liu
IEEE International Conference on Computer Vision
2017
Corpus ID: 13697803
Standard video frame interpolation methods first estimate optical flow between input frames and then synthesize an intermediate…
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Highly Cited
2017
Highly Cited
2017
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Huaizu Jiang
,
Deqing Sun
,
V. Jampani
,
Ming-Hsuan Yang
,
E. Learned-Miller
,
J. Kautz
IEEE/CVF Conference on Computer Vision and…
2017
Corpus ID: 10817557
Given two consecutive frames, video interpolation aims at generating intermediate frame(s) to form both spatially and temporally…
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Highly Cited
2017
Highly Cited
2017
Video Frame Interpolation via Adaptive Convolution
Simon Niklaus
,
Long Mai
,
Feng Liu
Computer Vision and Pattern Recognition
2017
Corpus ID: 11191770
Video frame interpolation typically involves two steps: motion estimation and pixel synthesis. Such a two-step approach heavily…
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Highly Cited
2016
Highly Cited
2016
Temporal Generative Adversarial Nets with Singular Value Clipping
Masaki Saito
,
Eiichi Matsumoto
,
Shunta Saito
IEEE International Conference on Computer Vision
2016
Corpus ID: 6945308
In this paper, we propose a generative model, Temporal Generative Adversarial Nets (TGAN), which can learn a semantic…
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Highly Cited
2015
Highly Cited
2015
Phase-based frame interpolation for video
Simone Schaub-Meyer
,
Oliver Wang
,
H. Zimmer
,
Max Grosse
,
A. Sorkine-Hornung
Computer Vision and Pattern Recognition
2015
Corpus ID: 3141668
Standard approaches to computing interpolated (in-between) frames in a video sequence require accurate pixel correspondences…
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Highly Cited
2007
Highly Cited
2007
Motion-Compensated Frame Interpolation Using Bilateral Motion Estimation and Adaptive Overlapped Block Motion Compensation
Byeong-Doo Choi
,
Jong-Woo Han
,
Chang-Su Kim
,
S. Ko
IEEE transactions on circuits and systems for…
2007
Corpus ID: 28828902
In this work, we develop a new motion-compe (MC) interpolation algorithm to enhance the temporal resolution of video sequences…
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Highly Cited
1998
Highly Cited
1998
Verbs and Adverbs: Multidimensional Motion Interpolation
Charles F. Rose
,
Michael F. Cohen
,
Bobby Bodenheimer
IEEE Computer Graphics and Applications
1998
Corpus ID: 7256978
The article describes a system for real-time interpolated animation that addresses some of these problems. Through creating…
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