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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 81–90 of 741 papers

TitleStatusHype
DeepMesh: Mesh-based Cardiac Motion Tracking using Deep LearningCode1
Image Masking for Robust Self-Supervised Monocular Depth EstimationCode1
Deep Orientation Uncertainty Learning based on a Bingham LossCode1
DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention NetworksCode1
AirDOS: Dynamic SLAM benefits from Articulated ObjectsCode1
Deep Shutter Unrolling NetworkCode1
Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal SupervisionCode1
BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame InterpolationCode1
Joint Unsupervised Learning of Optical Flow and Depth by Watching Stereo VideosCode1
Channel Attention Is All You Need for Video Frame InterpolationCode1
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