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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 131–140 of 741 papers

TitleStatusHype
Enhanced Bi-directional Motion Estimation for Video Frame InterpolationCode1
DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention NetworksCode1
Deep Orientation Uncertainty Learning based on a Bingham LossCode1
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning ApproachCode1
Deep Shutter Unrolling NetworkCode1
CUAHN-VIO: Content-and-Uncertainty-Aware Homography Network for Visual-Inertial OdometryCode1
DeepFaceFlow: In-the-wild Dense 3D Facial Motion EstimationCode1
D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion PredictionCode1
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging DataCode1
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