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Motion Estimation

Motion Estimation is used to determine the block-wise or pixel-wise motion vectors between two frames.

Source: MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement

Papers

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Showing 51–60 of 741 papers

TitleStatusHype
BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video InterpolationCode1
Deep Blind Video Super-resolutionCode1
Boost Video Frame Interpolation via Motion AdaptationCode1
DeepFaceFlow: In-the-wild Dense 3D Facial Motion EstimationCode1
BMBC:Bilateral Motion Estimation with Bilateral Cost Volume for Video InterpolationCode1
Deep Orientation Uncertainty Learning based on a Bingham LossCode1
A Multi-spectral Dataset for Evaluating Motion Estimation SystemsCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
4D Myocardium Reconstruction with Decoupled Motion and Shape ModelCode1
A gradient-based approach to fast and accurate head motion compensation in cone-beam CTCode1
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