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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 476500 of 741 papers

TitleStatusHype
Deep Shutter Unrolling NetworkCode1
Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal CorrespondenceCode1
Patch based Colour Transfer using SIFT Flow0
DeepFaceFlow: In-the-wild Dense 3D Facial Motion EstimationCode1
Taskology: Utilizing Task Relations at Scale0
Vid2Curve: Simultaneous Camera Motion Estimation and Thin Structure Reconstruction from an RGB VideoCode1
Streaming Object Detection for 3-D Point Clouds0
Tamed Warping Network for High-Resolution Semantic Video Segmentation0
Deep Orientation Uncertainty Learning based on a Bingham LossCode1
Self-Supervised Attention Learning for Depth and Ego-motion Estimation0
Spatio-Temporal Deep Learning Methods for Motion Estimation Using 4D OCT Image Data0
A Deep Learning Approach for Motion Forecasting Using 4D OCT Data0
Divergence-Based Adaptive Extreme Video Completion0
Object-centered Fourier Motion Estimation and Segment-Transformation PredictionCode0
Optical Flow Estimation in the Deep Learning Age0
Channel Attention Is All You Need for Video Frame InterpolationCode1
Minimal Solvers for Indoor UAV PositioningCode0
FlowFusion: Dynamic Dense RGB-D SLAM Based on Optical Flow0
Maximum Likelihood Speed Estimation of Moving Objects in Video Signals0
Deep Blind Video Super-resolutionCode1
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation0
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular VideosCode1
MVP: Unified Motion and Visual Self-Supervised Learning for Large-Scale Robotic NavigationCode1
Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D GeometryCode1
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization0
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