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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 251275 of 741 papers

TitleStatusHype
General Planar Motion from a Pair of 3D CorrespondencesCode0
Progressive Spatio-Temporal Alignment for Efficient Event-Based Motion EstimationCode1
Fast Event-based Optical Flow Estimation by Triplet Matching0
CGCV:Context Guided Correlation Volume for Optical Flow Neural Networks0
A Fast Geometric Regularizer to Mitigate Event Collapse in the Contrast Maximization FrameworkCode1
Motion and Context-Aware Audio-Visual Conditioned Video Prediction0
Minimum Latency Deep Online Video StabilizationCode1
Motion estimation for fisheye video sequences combining perspective projection with camera calibration information0
A data set providing synthetic and real-world fisheye video sequences0
A hybrid motion estimation technique for fisheye video sequences based on equisolid re-projection0
Efficient Feature Extraction for High-resolution Video Frame InterpolationCode1
Temporal Super-Resolution using Multi-Channel Illumination Source0
The Second-place Solution for ECCV 2022 Multiple People Tracking in Group Dance Challenge0
Hard to Track Objects with Irregular Motions and Similar Appearances? Make It Easier by Buffering the Matching SpaceCode1
Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI with Simultaneous Motion Estimation and Super-Resolution0
Generalizable Deepfake Detection with Phase-Based Motion Analysis0
GotFlow3D: Recurrent Graph Optimal Transport for Learning 3D Flow Motion in Particle Tracking0
Attacking Motion Estimation with Adversarial Snow0
A Codec Information Assisted Framework for Efficient Compressed Video Super-Resolution0
Motion estimation and filtered prediction for dynamic point cloud attribute compression0
Variational Message Passing-Based Respiratory Motion Estimation and Detection Using Radar Signals0
Oflib: Facilitating Operations with and on Optical Flow Fields in PythonCode1
Micro Expression Generation with Thin-plate Spline Motion Model and Face ParsingCode1
Image Masking for Robust Self-Supervised Monocular Depth EstimationCode1
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics0
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