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Motion Estimation
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Motion Estimation is used to determine the block-wise or pixel-wise motion vectors between two frames.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
HiM2SAM: Enhancing SAM2 with Hierarchical Motion Estimation and Memory Optimization towards Long-term Tracking
EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training
Uncertainty-Driven Radar-Inertial Fusion for Instantaneous 3D Ego-Velocity Estimation
Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow
Quanta Diffusion
Object-centric 3D Motion Field for Robot Learning from Human Videos
SpatialScore: Towards Unified Evaluation for Multimodal Spatial Understanding
Non-rigid Motion Correction for MRI Reconstruction via Coarse-To-Fine Diffusion Models
UMotion: Uncertainty-driven Human Motion Estimation from Inertial and Ultra-wideband Units
EventDiff: A Unified and Efficient Diffusion Model Framework for Event-based Video Frame Interpolation
StableMotion: Repurposing Diffusion-Based Image Priors for Motion Estimation
TeGA: Texture Space Gaussian Avatars for High-Resolution Dynamic Head Modeling
TimeTracker: Event-based Continuous Point Tracking for Video Frame Interpolation with Non-linear Motion
GENMO: A GENeralist Model for Human MOtion
Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling
Quantitative evaluation of brain-inspired vision sensors in high-speed robotic perception
Spike Imaging Velocimetry: Dense Motion Estimation of Fluids Using Spike Cameras
SSD-Poser: Avatar Pose Estimation with State Space Duality from Sparse Observations
Iterative Event-based Motion Segmentation by Variational Contrast Maximization
E-VLC: A Real-World Dataset for Event-based Visible Light Communication And Localization
Event-Enhanced Blurry Video Super-Resolution
Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor Graphs
REWIND: Real-Time Egocentric Whole-Body Motion Diffusion with Exemplar-Based Identity Conditioning
Simultaneous Motion And Noise Estimation with Event Cameras
Mitigating the Impact of Electrode Shift on Classification Performance in Electromyography-Based Motion Prediction Using Sliding-Window Normalization
Optimizing 4D Gaussians for Dynamic Scene Video from Single Landscape Images
L-LBVC: Long-Term Motion Estimation and Prediction for Learned Bi-Directional Video Compression
Improved Motion Plane Adaptive 360-Degree Video Compression Using Affine Motion Models
Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals
Image as an IMU: Estimating Camera Motion from a Single Motion-Blurred Image
Splat-LOAM: Gaussian Splatting LiDAR Odometry and Mapping
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments
GIFT: Generated Indoor video frames for Texture-less point tracking
EMoTive: Event-guided Trajectory Modeling for 3D Motion Estimation
Residual Learning and Filtering Networks for End-to-End Lossless Video Compression
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