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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 311–320 of 741 papers

TitleStatusHype
Make-It-4D: Synthesizing a Consistent Long-Term Dynamic Scene Video from a Single Image—0
Improving Audio-Visual Segmentation with Bidirectional GenerationCode0
Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use casesCode0
MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction—0
SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model—0
A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond—0
LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving—0
Offline and Online Optical Flow Enhancement for Deep Video Compression—0
GNEP Based Dynamic Segmentation and Motion Estimation for Neuromorphic Imaging—0
Static Background Removal in Vehicular Radar: Filtering in Azimuth-Elevation-Doppler Domain—0
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