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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 401–410 of 741 papers

TitleStatusHype
Unsupervised Learning of Monocular Depth and Ego-Motion Using Multiple MasksCode1
Full Surround Monodepth from Multiple Cameras—0
CNN-based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI—0
Finding Geometric Models by Clustering in the Consensus SpaceCode1
Revisiting Self-Supervised Monocular Depth EstimationCode0
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling—0
Motion Estimation for Optical Coherence Elastography Using Signal Phase and Intensity—0
Fast and Accurate: Video Enhancement using Sparse Depth—0
Spatiotemporal Registration for Event-based Visual OdometryCode1
Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place RecognitionCode1
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