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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 101–110 of 741 papers

TitleStatusHype
Learning Optical Flow With Kernel Patch AttentionCode1
End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video CompressionCode1
Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the RescueCode1
EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted DevicesCode1
Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in VideosCode1
FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based PolicyCode1
Optical Flow Estimation for Spiking CameraCode1
Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical ImagesCode1
AirDOS: Dynamic SLAM benefits from Articulated ObjectsCode1
Unsupervised Monocular Depth Perception: Focusing on Moving ObjectsCode1
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