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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 726–741 of 741 papers

TitleStatusHype
LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance ImagingCode0
Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular VideosCode0
Refining Pre-Trained Motion ModelsCode0
Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image SequencesCode0
Spatial-Temporal Consistency Refinement Network for Dynamic Point Cloud Frame InterpolationCode0
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth PredictionCode0
Relying on a rate constraint to reduce Motion Estimation complexityCode0
Variational Approach for Capsule Video Frame InterpolationCode0
SpatioTemporal Feature Integration and Model Fusion for Full Reference Video Quality AssessmentCode0
Visual Pursuit Control based on Gaussian Processes with Switched Motion TrajectoriesCode0
Cell Tracking according to Biological Needs -- Strong Mitosis-aware Multi-Hypothesis Tracker with Aleatoric UncertaintyCode0
Joint 3D Shape and Motion Estimation from Rolling Shutter Light-Field ImagesCode0
Density Invariant Contrast Maximization for Neuromorphic Earth ObservationsCode0
Revisiting Self-Supervised Monocular Depth EstimationCode0
DenseNet for Dense FlowCode0
ReynoldsFlow: Exquisite Flow Estimation via Reynolds Transport TheoremCode0
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