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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
DeepSeqSLAM: A Trainable CNN+RNN for Joint Global Description and Sequence-based Place RecognitionCode1
Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence LossCode1
Efficient Feature Extraction for High-resolution Video Frame InterpolationCode1
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning ApproachCode1
End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video CompressionCode1
CUAHN-VIO: Content-and-Uncertainty-Aware Homography Network for Visual-Inertial OdometryCode1
Deep Shutter Unrolling NetworkCode1
D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion PredictionCode1
Distracting Downpour: Adversarial Weather Attacks for Motion EstimationCode1
EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised TrainingCode1
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