SOTAVerified

Optical Flow Estimation

Optical Flow Estimation is a computer vision task that involves computing the motion of objects in an image or a video sequence. The goal of optical flow estimation is to determine the movement of pixels or features in the image, which can be used for various applications such as object tracking, motion analysis, and video compression.

Approaches for optical flow estimation include correlation-based, block-matching, feature tracking, energy-based, and more recently gradient-based.

Further readings:

Definition source: Devon: Deformable Volume Network for Learning Optical Flow

Image credit: Optical Flow Estimation

Papers

Showing 801850 of 2184 papers

TitleStatusHype
Leveraging the HW/SW Optimizations and Ecosystems that Drive the AI Revolution0
Globally Consistent Video Depth and Pose Estimation with Efficient Test-Time TrainingCode1
Unsupervised Flow Refinement near Motion Boundaries0
Multimodal Generation of Novel Action Appearances for Synthetic-to-Real Recognition of Activities of Daily LivingCode0
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation0
Dyadic Movement Synchrony Estimation Under Privacy-preserving Conditions0
ATCA: an Arc Trajectory Based Model with Curvature Attention for Video Frame Interpolation0
Motion-aware Memory Network for Fast Video Salient Object DetectionCode0
Less is More: Consistent Video Depth Estimation with Masked Frames ModelingCode1
Depth Field Networks for Generalizable Multi-view Scene RepresentationCode2
A Hybrid CNN-LSTM model for Video Deepfake Detection by Leveraging Optical Flow Features0
Deep 360^ Optical Flow Estimation Based on Multi-Projection Fusion0
Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual Meta-Learning0
GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS dataCode1
Efficient Video Deblurring Guided by Motion MagnitudeCode1
Key frames assisted hybrid encoding for photorealistic compressive video sensing0
Multi-Scale RAFT: Combining Hierarchical Concepts for Learning-based Optical FLow EstimationCode1
Error-Aware Spatial Ensembles for Video Frame Interpolation0
Hybrid Classifiers for Spatio-temporal Real-time Abnormal Behaviors Detection, Tracking, and Recognition in Massive Hajj Crowds0
Kinematics Modeling Network for Video-based Human Pose EstimationCode0
RealFlow: EM-based Realistic Optical Flow Dataset Generation from VideosCode1
Fusing Frame and Event Vision for High-speed Optical Flow for Edge Application0
Semi-Supervised Learning of Optical Flow by Flow SupervisorCode1
On an Edge-Preserving Variational Model for Optical Flow Estimation0
Mining Relations among Cross-Frame Affinities for Video Semantic SegmentationCode1
GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation LearningCode0
Secrets of Event-Based Optical FlowCode1
Animation from Blur: Multi-modal Blur Decomposition with Motion GuidanceCode1
Self-Supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach0
ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the WildCode2
Hierarchical Feature Alignment Network for Unsupervised Video Object SegmentationCode1
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection0
USegScene: Unsupervised Learning of Depth, Optical Flow and Ego-Motion with Semantic Guidance and Coupled Networks0
Weakly Supervised Video Salient Object Detection via Point Supervision0
Multimodal Open-Vocabulary Video Classification via Pre-Trained Vision and Language Models0
Multiview Contrastive Learning for Completely Blind Video Quality Assessment of User Generated ContentCode0
Prediction of the motion of chest internal points using a recurrent neural network trained with real-time recurrent learning for latency compensation in lung cancer radiotherapyCode0
Texture-guided Saliency Distilling for Unsupervised Salient Object DetectionCode1
Is Appearance Free Action Recognition Possible?Code1
Ego-motion Estimation Based on Fusion of Images and EventsCode0
Learned Video Compression via Heterogeneous Deformable Compensation Network0
Pixel-level Correspondence for Self-Supervised Learning from Video0
Event Collapse in Contrast Maximization FrameworksCode1
SST-Calib: Simultaneous Spatial-Temporal Parameter Calibration between LIDAR and Camera0
Complementing Brightness Constancy with Deep Networks for Optical Flow PredictionCode0
Deep Rotation Correction without Angle PriorCode1
A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-based Photometric Image Enhancement Models0
PVO: Panoptic Visual OdometryCode2
FlowNAS: Neural Architecture Search for Optical Flow EstimationCode1
SC-Transformer++: Structured Context Transformer for Generic Event Boundary DetectionCode0
Show:102550
← PrevPage 17 of 44Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SpynetAverage End-Point Error6.64Unverified
2FastFlowNet-ftAverage End-Point Error4.89Unverified
3UnrolledCostAverage End-Point Error4.69Unverified
4LiteFlowNet-ftAverage End-Point Error4.54Unverified
5FlowNet2Average End-Point Error3.96Unverified
6IRR-PWCAverage End-Point Error3.84Unverified
7SelFlowAverage End-Point Error3.74Unverified
8FDFlowNet-ftAverage End-Point Error3.71Unverified
9ScopeFlowAverage End-Point Error3.59Unverified
10LiteFlowNet2-ftAverage End-Point Error3.48Unverified
#ModelMetricClaimedVerifiedStatus
1SpynetAverage End-Point Error8.36Unverified
2FastFlowNet-ftAverage End-Point Error6.08Unverified
3UnrolledCostAverage End-Point Error5.8Unverified
4MR-FlowAverage End-Point Error5.38Unverified
5LiteFlowNet-ftAverage End-Point Error5.38Unverified
6FDFlowNet-ftAverage End-Point Error5.11Unverified
7LiteFlowNet2-ftAverage End-Point Error4.69Unverified
8IRR-PWCAverage End-Point Error4.58Unverified
9LiteFlowNet3-SAverage End-Point Error4.53Unverified
10ContinualFlow + ftAverage End-Point Error4.52Unverified
#ModelMetricClaimedVerifiedStatus
1PWC-NetF1-all33.7Unverified
2FastFlowNetF1-all33.1Unverified
3FlowNet2F1-all30Unverified
4VCNF1-all25.1Unverified
5HD3F1-all24Unverified
6MaskFlowNetF1-all23.1Unverified
7SCVF1-all19.3Unverified
8RAPIDFlowF1-all17.7Unverified
9CRAFTF1-all17.5Unverified
10RAFTF1-all17.4Unverified
#ModelMetricClaimedVerifiedStatus
1FastFlowNet-ftFl-all11.22Unverified
2UnrolledCostFl-all10.81Unverified
3LiteFlowNet-ftFl-all9.38Unverified
4SelFlowFl-all8.42Unverified
5IRR-PWCFl-all7.65Unverified
6LiteFlowNet2-ftFl-all7.62Unverified
7LiteFlowNet3Fl-all7.34Unverified
8LiteFlowNet3-SFl-all7.22Unverified
9MaskFlownet-SFl-all6.81Unverified
10RAPIDFlowFl-all6.12Unverified
#ModelMetricClaimedVerifiedStatus
1FastFlowNet-ftAverage End-Point Error1.8Unverified
2LiteFlowNet-ftAverage End-Point Error1.6Unverified
3IRR-PWCAverage End-Point Error1.6Unverified
4SelFlowAverage End-Point Error1.5Unverified
5FDFlowNet-ftAverage End-Point Error1.5Unverified
6PWC-Net + ft - axXivAverage End-Point Error1.5Unverified
7LiteFlowNet2-ftAverage End-Point Error1.4Unverified
8LiteFlowNet3-SAverage End-Point Error1.3Unverified
9LiteFlowNet3Average End-Point Error1.3Unverified
10MaskFlownetAverage End-Point Error1.1Unverified
#ModelMetricClaimedVerifiedStatus
1PWCNet1px total82.27Unverified
2SPyNet1px total29.96Unverified
3GMFlow1px total10.36Unverified
4GMA1px total7.07Unverified
5RAFT1px total6.79Unverified
6FlowNet21px total6.71Unverified
7FlowFormer1px total6.51Unverified
8MS-RAFT+1px total5.72Unverified
9RPKNet1px total4.81Unverified
10DPFlow1px total3.44Unverified
#ModelMetricClaimedVerifiedStatus
1UFlowAverage End-Point Error5.21Unverified
2MDFlow-FastAverage End-Point Error4.73Unverified
3UpFlowAverage End-Point Error4.68Unverified
4ARFlow-MVAverage End-Point Error4.49Unverified
5MDFlowAverage End-Point Error4.16Unverified
#ModelMetricClaimedVerifiedStatus
1UFlowAverage End-Point Error6.5Unverified
2MDFlow-FastAverage End-Point Error5.99Unverified
3ARFlow-MVAverage End-Point Error5.67Unverified
4MDFlowAverage End-Point Error5.46Unverified
5UpFlowAverage End-Point Error5.32Unverified
#ModelMetricClaimedVerifiedStatus
1ARFlow-MVFl-all11.79Unverified
2MDFlow-FastFl-all11.43Unverified
3UpFlowFl-all9.38Unverified
4MDFlowFl-all8.91Unverified
#ModelMetricClaimedVerifiedStatus
1ARFlow-MVAverage End-Point Error1.5Unverified
2UpFlowAverage End-Point Error1.4Unverified