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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 71–80 of 741 papers

TitleStatusHype
Explicit Motion Disentangling for Efficient Optical Flow EstimationCode1
A Fast Geometric Regularizer to Mitigate Event Collapse in the Contrast Maximization FrameworkCode1
Minimum Latency Deep Online Video StabilizationCode1
Efficient Feature Extraction for High-resolution Video Frame InterpolationCode1
Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching SpaceCode1
Oflib: Facilitating Operations with and on Optical Flow Fields in PythonCode1
Micro Expression Generation with Thin-plate Spline Motion Model and Face ParsingCode1
Image Masking for Robust Self-Supervised Monocular Depth EstimationCode1
CUAHN-VIO: Content-and-Uncertainty-Aware Homography Network for Visual-Inertial OdometryCode1
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-RaysCode1
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