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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 141–150 of 741 papers

TitleStatusHype
Flexible-Rate Learned Hierarchical Bi-Directional Video Compression With Motion Refinement and Frame-Level Bit AllocationCode1
Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRICode1
DeepMesh: Mesh-based Cardiac Motion Tracking using Deep LearningCode1
Deep Blind Video Super-resolutionCode1
Entropy Minimisation Framework for Event-based Vision Model EstimationCode1
HiM2SAM: Enhancing SAM2 with Hierarchical Motion Estimation and Memory Optimization towards Long-term TrackingCode1
DeepFaceFlow: In-the-wild Dense 3D Facial Motion EstimationCode1
I^2VC: A Unified Framework for Intra- & Inter-frame Video CompressionCode1
Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal SupervisionCode1
Learning Optical Flow with Adaptive Graph ReasoningCode1
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