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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 261–270 of 741 papers

TitleStatusHype
Efficient Feature Extraction for High-resolution Video Frame InterpolationCode1
Temporal Super-Resolution using Multi-Channel Illumination Source—0
Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching SpaceCode1
The Second-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge—0
Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI with Simultaneous Motion Estimation and Super-Resolution—0
Generalizable Deepfake Detection with Phase-Based Motion Analysis—0
GotFlow3D: Recurrent Graph Optimal Transport for Learning 3D Flow Motion in Particle Tracking—0
Attacking Motion Estimation with Adversarial Snow—0
Motion estimation and filtered prediction for dynamic point cloud attribute compression—0
A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution—0
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