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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 301–310 of 741 papers

TitleStatusHype
CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking—0
A new way of video compression via forward-referencing using deep learning—0
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics—0
3DFlowRenderer: One-shot Face Re-enactment via Dense 3D Facial Flow Estimation—0
CNN-based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI—0
ENG: End-to-end Neural Geometry for Robust Depth and Pose Estimation using CNNs—0
End-To-End Trainable Video Super-Resolution Based on a New Mechanism for Implicit Motion Estimation and Compensation—0
A New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging—0
End-to-End Rate-Distortion Optimization for Bi-Directional Learned Video Compression—0
ClusterSLAM: A SLAM Backend for Simultaneous Rigid Body Clustering and Motion Estimation—0
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