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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 51–60 of 741 papers

TitleStatusHype
Universal Online Temporal Calibration for Optimization-based Visual-Inertial Navigation SystemsCode1
HuPerFlow: A Comprehensive Benchmark for Human vs. Machine Motion Estimation Comparison—0
AnyMap: Learning a General Camera Model for Structure-from-Motion with Unknown Distortion in Dynamic Scenes—0
Self-Supervised Learning for Color Spike Camera ReconstructionCode0
ArticulatedGS: Self-supervised Digital Twin Modeling of Articulated Objects using 3D Gaussian Splatting—0
FLAVC: Learned Video Compression with Feature Level Attention—0
BiM-VFI: Bidirectional Motion Field-Guided Frame Interpolation for Video with Non-uniform Motions—0
The FlEye camera: Sampling the joint distribution of natural scenes and motion—0
V^2-SfMLearner: Learning Monocular Depth and Ego-motion for Multimodal Wireless Capsule Endoscopy—0
CompactFlowNet: Efficient Real-time Optical Flow Estimation on Mobile Devices—0
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