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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 1–10 of 741 papers

TitleStatusHype
DINO-VO: A Feature-based Visual Odometry Leveraging a Visual Foundation Model—0
HiM2SAM: Enhancing SAM2 with Hierarchical Motion Estimation and Memory Optimization towards Long-term TrackingCode1
EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised TrainingCode1
Uncertainty-Driven Radar-Inertial Fusion for Instantaneous 3D Ego-Velocity Estimation—0
Spatio-Temporal State Space Model For Efficient Event-Based Optical FlowCode1
Quanta Diffusion—0
Object-centric 3D Motion Field for Robot Learning from Human Videos—0
SpatialScore: Towards Unified Evaluation for Multimodal Spatial UnderstandingCode2
Non-rigid Motion Correction for MRI Reconstruction via Coarse-To-Fine Diffusion Models—0
UMotion: Uncertainty-driven Human Motion Estimation from Inertial and Ultra-wideband UnitsCode1
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