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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 91–100 of 741 papers

TitleStatusHype
DeepMesh: Mesh-based Cardiac Motion Tracking using Deep LearningCode1
HiM2SAM: Enhancing SAM2 with Hierarchical Motion Estimation and Memory Optimization towards Long-term TrackingCode1
HOME: Heatmap Output for future Motion EstimationCode1
I^2VC: A Unified Framework for Intra- & Inter-frame Video CompressionCode1
DeepFaceFlow: In-the-wild Dense 3D Facial Motion EstimationCode1
BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video InterpolationCode1
Boost Video Frame Interpolation via Motion AdaptationCode1
Joint Unsupervised Learning of Optical Flow and Depth by Watching Stereo VideosCode1
Learning-based Localizability Estimation for Robust LiDAR LocalizationCode1
Deep Orientation Uncertainty Learning based on a Bingham LossCode1
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