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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

Showing 651700 of 741 papers

TitleStatusHype
Improving Audio-Visual Segmentation with Bidirectional GenerationCode0
IBVC: Interpolation-driven B-frame Video CompressionCode0
Multiframe Motion Coupling for Video Super ResolutionCode0
Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion CompensationCode0
X-ray and Visible Spectra Circular Motion Images DatasetCode0
Camera Motion Estimation from RGB-D-Inertial Scene FlowCode0
Decomposition of Optical Flow on the SphereCode0
Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion EstimationCode0
AlignNet-3D: Fast Point Cloud Registration of Partially Observed ObjectsCode0
On human motion prediction using recurrent neural networksCode0
ROVO: Robust Omnidirectional Visual Odometry for Wide-baseline Wide-FOV Camera SystemsCode0
Staged Contact-Aware Global Human Motion ForecastingCode0
Motion Compensated Dynamic MRI Reconstruction with Local Affine Optical Flow EstimationCode0
HP-GAN: Probabilistic 3D human motion prediction via GANCode0
Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance ImagingCode0
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera PoseCode0
A Deep Learning Framework for Assessing Physical Rehabilitation ExercisesCode0
Stereo relative pose from line and point feature tripletsCode0
General Planar Motion from a Pair of 3D CorrespondencesCode0
3D Fluid Flow Estimation with Integrated Particle ReconstructionCode0
Bioinspired Visual Motion EstimationCode0
Minimal Solvers for Indoor UAV PositioningCode0
Unsupervised Learning of Depth and Ego-Motion from VideoCode0
ORRN: An ODE-based Recursive Registration Network for Deformable Respiratory Motion Estimation with Lung 4DCT ImagesCode0
Fast, Robust, Continuous Monocular Egomotion ComputationCode0
Self-Supervised 3D Keypoint Learning for Ego-motion EstimationCode0
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow EstimationCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and EnhancementCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and EnhancementCode0
Super-Resolution Reconstruction from Bayer-Pattern Spike StreamsCode0
Beyond Photometric Loss for Self-Supervised Ego-Motion EstimationCode0
EVDodgeNet: Deep Dynamic Obstacle Dodging with Event CamerasCode0
Loss it right: Euclidean and Riemannian Metrics in Learning-based Visual OdometryCode0
Estimating Head Motion from MR-ImagesCode0
Self-Supervised Learning for Color Spike Camera ReconstructionCode0
Constrained CycleGAN for Effective Generation of Ultrasound Sector Images of Improved Spatial ResolutionCode0
Beyond GFVC: A Progressive Face Video Compression Framework with Adaptive Visual TokensCode0
LOAM: Lidar Odometry and Mapping in Real-TimeCode0
Video Frame Interpolation via Adaptive ConvolutionCode0
Estimating articulatory movements in speech production with transformer networksCode0
Enhancing Free-hand 3D Photoacoustic and Ultrasound Reconstruction using Deep LearningCode0
TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correctionCode0
Enhanced Spatio-Temporal Context for Temporally Consistent Robust 3D Human Motion Recovery from Monocular VideosCode0
DeepV2D: Video to Depth with Differentiable Structure from MotionCode0
DRIMET: Deep Registration for 3D Incompressible Motion Estimation in Tagged-MRI with Application to the TongueCode0
Automatic motion estimation with applicationsto hiPSC-CMsCode0
Visual-Inertial Mapping with Non-Linear Factor RecoveryCode0
Semantic Validation in Structure from MotionCode0
Ultrafast Cardiac Imaging Using Deep Learning For Speckle-Tracking EchocardiographyCode0
Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal CorrelationsCode0
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