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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 150 of 741 papers

TitleStatusHype
Tracking Everything Everywhere All at OnceCode4
Thin-Plate Spline Motion Model for Image AnimationCode4
TAPIR: Tracking Any Point with per-frame Initialization and temporal RefinementCode3
Event-Enhanced Blurry Video Super-ResolutionCode3
VRT: A Video Restoration TransformerCode3
GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D GaussiansCode2
Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor GraphsCode2
MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian SplattingCode2
Decomposition Betters Tracking Everything EverywhereCode2
Splat-LOAM: Gaussian Splatting LiDAR Odometry and MappingCode2
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motionCode2
MAC-Ego3D: Multi-Agent Gaussian Consensus for Real-Time Collaborative Ego-Motion and Photorealistic 3D ReconstructionCode2
SpatialScore: Towards Unified Evaluation for Multimodal Spatial UnderstandingCode2
Particle Video Revisited: Tracking Through Occlusions Using Point TrajectoriesCode2
IncEventGS: Pose-Free Gaussian Splatting from a Single Event CameraCode2
CMax-SLAM: Event-based Rotational-Motion Bundle Adjustment and SLAM System using Contrast MaximizationCode2
RaTrack: Moving Object Detection and Tracking with 4D Radar Point CloudCode2
OcclusionFusion: Occlusion-aware Motion Estimation for Real-time Dynamic 3D ReconstructionCode2
BiM-VFI: directional Motion Field-Guided Frame Interpolation for Video with Non-uniform MotionsCode2
Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion DynamicsCode2
Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTVCode2
ETAP: Event-based Tracking of Any PointCode2
Scalable Benchmarking and Robust Learning for Noise-Free Ego-Motion and 3D Reconstruction from Noisy VideoCode2
Castle in the Sky: Dynamic Sky Replacement and Harmonization in VideosCode2
EchoTracker: Advancing Myocardial Point Tracking in EchocardiographyCode2
Enhanced Bi-directional Motion Estimation for Video Frame InterpolationCode1
A Multi-spectral Dataset for Evaluating Motion Estimation SystemsCode1
4DComplete: Non-Rigid Motion Estimation Beyond the Observable SurfaceCode1
4D Myocardium Reconstruction with Decoupled Motion and Shape ModelCode1
End-to-End Rate-Distortion Optimized Learned Hierarchical Bi-Directional Video CompressionCode1
EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised TrainingCode1
Entropy Minimisation Framework for Event-based Vision Model EstimationCode1
Efficient Feature Extraction for High-resolution Video Frame InterpolationCode1
Efficient Neural Implicit Representation for 3D Human ReconstructionCode1
DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and TrackingCode1
DEFLOW: Self-supervised 3D Motion Estimation of Debris FlowCode1
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular VideosCode1
Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence LossCode1
EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted DevicesCode1
Deep Orientation Uncertainty Learning based on a Bingham LossCode1
SeSame: Simple, Easy 3D Object Detection with Point-Wise SemanticsCode1
Deep Blind Video Super-resolutionCode1
DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention NetworksCode1
AirDOS: Dynamic SLAM benefits from Articulated ObjectsCode1
DeepFaceFlow: In-the-wild Dense 3D Facial Motion EstimationCode1
DeepMesh: Mesh-based Cardiac Motion Tracking using Deep LearningCode1
Crowdsourced 3D Mapping: A Combined Multi-View Geometry and Self-Supervised Learning ApproachCode1
Digging Into Self-Supervised Monocular Depth EstimationCode1
Distracting Downpour: Adversarial Weather Attacks for Motion EstimationCode1
CUAHN-VIO: Content-and-Uncertainty-Aware Homography Network for Visual-Inertial OdometryCode1
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