SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 726–741 of 741 papers

TitleStatusHype
LS-VO: Learning Dense Optical Subspace for Robust Visual Odometry Estimation—0
VNVC: A Versatile Neural Video Coding Framework for Efficient Human-Machine Vision—0
Macroblock Classification Method for Video Applications Involving Motions—0
Make-It-4D: Synthesizing a Consistent Long-Term Dynamic Scene Video from a Single Image—0
MaskFlow: Object-Aware Motion Estimation—0
Measuring breathing induced oesophageal motion and its dosimetric impact—0
Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning—0
Mesh Guided One-shot Face Reenactment using Graph Convolutional Networks—0
Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration—0
Milli-RIO: Ego-Motion Estimation with Millimetre-Wave Radar and Inertial Measurement Unit Sensor—0
Minimal Solutions for Relative Pose with a Single Affine Correspondence—0
MIRT: a simultaneous reconstruction and affine motion compensation technique for four dimensional computed tomography (4DCT)—0
Mitigating the Impact of Electrode Shift on Classification Performance in Electromyography-Based Motion Prediction Using Sliding-Window Normalization—0
Mocap Everyone Everywhere: Lightweight Motion Capture With Smartwatches and a Head-Mounted Camera—0
Mocycle-GAN: Unpaired Video-to-Video Translation—0
MoManifold: Learning to Measure 3D Human Motion via Decoupled Joint Acceleration Manifolds—0
Show:102550
← PrevPage 30 of 30Next →

No leaderboard results yet.