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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 281–290 of 741 papers

TitleStatusHype
Compression-Realized Deep Structural Network for Video Quality Enhancement—0
EventDiff: A Unified and Efficient Diffusion Model Framework for Event-based Video Frame Interpolation—0
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction—0
AnyMap: Learning a General Camera Model for Structure-from-Motion with Unknown Distortion in Dynamic Scenes—0
A data set providing synthetic and real-world fisheye video sequences—0
Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars—0
Event-based vision for egomotion estimation using precise event timing—0
CompactFlowNet: Efficient Real-time Optical Flow Estimation on Mobile Devices—0
Event-based Star Tracking via Multiresolution Progressive Hough Transforms—0
COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation—0
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