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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 461–470 of 741 papers

TitleStatusHype
Semantic Nearest Neighbor Fields Monocular Edge Visual-Odometry—0
Semantics-Driven Unsupervised Learning for Monocular Depth and Ego-Motion Estimation—0
SENDD: Sparse Efficient Neural Depth and Deformation for Tissue Tracking—0
Sensor Fusion of Camera, GPS and IMU using Fuzzy Adaptive Multiple Motion Models—0
SfM-Net: Learning of Structure and Motion from Video—0
SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generative Adversarial Networks—0
Shape of Motion: 4D Reconstruction from a Single Video—0
Simultaneous Denoising and Motion Estimation for Low-dose Gated PET using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning—0
Single-frame Regularization for Temporally Stable CNNs—0
Single Image Deblurring and Camera Motion Estimation with Depth Map—0
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