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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 201–210 of 741 papers

TitleStatusHype
Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use casesCode0
PARIS: Part-level Reconstruction and Motion Analysis for Articulated ObjectsCode1
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
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTVCode1
LiDAR-BEVMTN: Real-Time LiDAR Bird's-Eye View Multi-Task Perception Network for Autonomous Driving—0
Towards Anytime Optical Flow Estimation with Event CamerasCode1
Offline and Online Optical Flow Enhancement for Deep Video Compression—0
GNEP Based Dynamic Segmentation and Motion Estimation for Neuromorphic Imaging—0
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