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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 81–90 of 741 papers

TitleStatusHype
EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted DevicesCode1
EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised TrainingCode1
Entropy Minimisation Framework for Event-based Vision Model EstimationCode1
Digging Into Self-Supervised Monocular Depth EstimationCode1
AirDOS: Dynamic SLAM benefits from Articulated ObjectsCode1
Efficient Feature Extraction for High-resolution Video Frame InterpolationCode1
SeSame: Simple, Easy 3D Object Detection with Point-Wise SemanticsCode1
BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame InterpolationCode1
BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video InterpolationCode1
A Fast Geometric Regularizer to Mitigate Event Collapse in the Contrast Maximization FrameworkCode1
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