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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 151175 of 741 papers

TitleStatusHype
Self-Supervised Ego-Motion Estimation Based on Multi-Layer Fusion of RGB and Inferred DepthCode1
Learning Temporally and Semantically Consistent Unpaired Video-to-video Translation Through Pseudo-Supervision From Synthetic Optical FlowCode1
DeepMesh: Mesh-based Cardiac Motion Tracking using Deep LearningCode1
Live Stream Temporally Embedded 3D Human Body Pose and Shape EstimationCode1
Deep Orientation Uncertainty Learning based on a Bingham LossCode1
Many-to-many Splatting for Efficient Video Frame InterpolationCode1
DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention NetworksCode1
Attention-aware non-rigid image registration for accelerated MR imagingCode1
Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution0
Appearance Learning for Image-based Motion Estimation in Tomography0
Conditional Neural Video Coding with Spatial-Temporal Super-Resolution0
Condensing a Sequence to One Informative Frame for Video Recognition0
A Deeper Insight into the UnDEMoN: Unsupervised Deep Network for Depth and Ego-Motion Estimation0
Concurrent Tracking of Inliers and Outliers0
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art0
A Perceptual Based Motion Compensation Technique for Video Coding0
Compression-Realized Deep Structural Network for Video Quality Enhancement0
Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction0
AnyMap: Learning a General Camera Model for Structure-from-Motion with Unknown Distortion in Dynamic Scenes0
A data set providing synthetic and real-world fisheye video sequences0
An Unsupervised Optical Flow Estimation For LiDAR Image Sequences0
CompactFlowNet: Efficient Real-time Optical Flow Estimation on Mobile Devices0
Adaptive-SpikeNet: Event-based Optical Flow Estimation using Spiking Neural Networks with Learnable Neuronal Dynamics0
COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation0
Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction0
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