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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

Showing 651675 of 741 papers

TitleStatusHype
FlowFusion: Dynamic Dense RGB-D SLAM Based on Optical Flow0
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation0
Fractional Motion Estimation for Point Cloud Compression0
FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments0
From Local to Global: Edge Profiles to Camera Motion in Blurred Images0
Full Surround Monodepth from Multiple Cameras0
Functional form of motion priors in human motion perception0
Future Does Matter: Boosting 3D Object Detection with Temporal Motion Estimation in Point Cloud Sequences0
Generalizable Deepfake Detection with Phase-Based Motion Analysis0
GENMO: A GENeralist Model for Human MOtion0
Geometry-Constrained Monocular Scale Estimation Using Semantic Segmentation for Dynamic Scenes0
GIFT: Generated Indoor video frames for Texture-less point tracking0
Globally Optimal Contrast Maximisation for Event-based Motion Estimation0
Globally-Optimal Contrast Maximisation for Event Cameras0
Globally-Optimal Event Camera Motion Estimation0
GNEP Based Dynamic Segmentation and Motion Estimation for Neuromorphic Imaging0
GOHOME: Graph-Oriented Heatmap Output for future Motion Estimation0
GotFlow3D: Recurrent Graph Optimal Transport for Learning 3D Flow Motion in Particle Tracking0
Graph-based compression of dynamic 3D point cloud sequences0
H4D: Human 4D Modeling by Learning Neural Compositional Representation0
Harmonic Exponential Families on Manifolds0
HMP: Hand Motion Priors for Pose and Shape Estimation from Video0
Tamed Warping Network for High-Resolution Semantic Video Segmentation0
HuPerFlow: A Comprehensive Benchmark for Human vs. Machine Motion Estimation Comparison0
Hybrid Local-Global Context Learning for Neural Video Compression0
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