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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 171–180 of 741 papers

TitleStatusHype
An Unsupervised Optical Flow Estimation For LiDAR Image Sequences—0
CompactFlowNet: Efficient Real-time Optical Flow Estimation on Mobile Devices—0
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics—0
COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation—0
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction—0
1-point RANSAC for Circular Motion Estimation in Computed Tomography (CT)—0
Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI with Simultaneous Motion Estimation and Super-Resolution—0
An N-Point Linear Solver for Line and Motion Estimation with Event Cameras—0
A new way of video compression via forward-referencing using deep learning—0
CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking—0
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