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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

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Showing 1301–1350 of 2184 papers

TitleStatusHype
Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization—0
Automatic Quantification of Facial Asymmetry using Facial Landmarks—0
Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures—0
Future Frame Prediction for Robot-assisted Surgery—0
Deep Learning for Vision-Based Fall Detection System: Enhanced Optical Dynamic Flow—0
The U-Net based GLOW for Optical-Flow-free Video Interframe Generation—0
Unsupervised Motion Representation Enhanced Network for Action Recognition—0
Motion-blurred Video Interpolation and Extrapolation—0
Optical Flow Estimation from a Single Motion-blurred Image—0
Avoiding Degeneracy for Monocular Visual SLAM with Point and Line Features—0
Learning for Unconstrained Space-Time Video Super-Resolution—0
Estimating Nonplanar Flow from 2D Motion-blurred Widefield Microscopy Images via Deep LearningCode0
Analysis of Latent-Space Motion for Collaborative Intelligence—0
Video Action Recognition Using spatio-temporal optical flow video frames—0
Parallax estimation for push-frame satellite imagery: application to super-resolution and 3D surface modeling from Skysat products—0
Optical flow and scene flow estimation: A survey—0
OAS-Net: Occlusion Aware Sampling Network for Accurate Optical Flow—0
Nonlinear Evolutionary PDE-Based Refinement of Optical Flow—0
On the Space-Time Statistics of Motion Pictures—0
Neural Particle Image Velocimetry—0
A Discrete Scheme for Computing Image's Weighted Gaussian Curvature—0
Optical Flow Method for Measuring Deformation of Soil Specimen Subjected to Torsional Shearing—0
Temporal Spatial-Adaptive Interpolation with Deformable Refinement for Electron Microscopic Images—0
Optical Flow Estimation via Motion Feature Recovery—0
Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition—0
Trear: Transformer-based RGB-D Egocentric Action Recognition—0
Anonymizing Egocentric Videos—0
Deep Transport Network for Unsupervised Video Object Segmentation—0
Inverting a Rolling Shutter Camera: Bring Rolling Shutter Images to High Framerate Global Shutter Video—0
DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation—0
Uncertainty-Aware Human Mesh Recovery From Video by Learning Part-Based 3D Dynamics—0
Video Matting via Consistency-Regularized Graph Neural Networks—0
Dynamic Facial Expression Recognition under Partial Occlusion with Optical Flow Reconstruction—0
Confused Modulo Projection based Somewhat Homomorphic Encryption -- Cryptosystem, Library and Applications on Secure Smart Cities—0
Multi Modal Adaptive Normalization for Audio to Video Generation—0
Denoising-based Turbo Message Passing for Compressed Video Background Subtraction—0
Learning to Transfer Visual Effects from Videos to Images—0
Occlusion Guided Scene Flow Estimation on 3D Point CloudsCode0
Real-time Spatio-temporal Action Localization via Learning Motion Representation—0
Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation—0
Cost Function Unrolling in Unsupervised Optical FlowCode0
UVid-Net: Enhanced Semantic Segmentation of UAV Aerial Videos by Embedding Temporal InformationCode0
Discovering Hidden Physics Behind Transport Dynamics—0
A Framework for Fluid Motion Estimation using a Constraint-Based Refinement Approach—0
Independent Sign Language Recognition with 3D Body, Hands, and Face Reconstruction—0
Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized ProteinsCode0
3D attention mechanism for fine-grained classification of table tennis strokes using a Twin Spatio-Temporal Convolutional Neural Networks—0
HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects—0
Abnormal Event Detection in Urban Surveillance Videos Using GAN and Transfer Learning—0
Deep Motion Blind Video StabilizationCode0
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All datasetsSintel-cleanSintel-finalKITTI 2015 (train)KITTI 2015KITTI 2012SpringSintel Clean unsupervisedSintel Final unsupervisedKITTI 2015 unsupervisedKITTI 2012 unsupervised

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SpynetAverage End-Point Error6.64—Unverified
2FastFlowNet-ftAverage End-Point Error4.89—Unverified
3UnrolledCostAverage End-Point Error4.69—Unverified
4LiteFlowNet-ftAverage End-Point Error4.54—Unverified
5FlowNet2Average End-Point Error3.96—Unverified
6IRR-PWCAverage End-Point Error3.84—Unverified
7SelFlowAverage End-Point Error3.74—Unverified
8FDFlowNet-ftAverage End-Point Error3.71—Unverified
9ScopeFlowAverage End-Point Error3.59—Unverified
10LiteFlowNet2-ftAverage End-Point Error3.48—Unverified
#ModelMetricClaimedVerifiedStatus
1SpynetAverage End-Point Error8.36—Unverified
2FastFlowNet-ftAverage End-Point Error6.08—Unverified
3UnrolledCostAverage End-Point Error5.8—Unverified
4MR-FlowAverage End-Point Error5.38—Unverified
5LiteFlowNet-ftAverage End-Point Error5.38—Unverified
6FDFlowNet-ftAverage End-Point Error5.11—Unverified
7LiteFlowNet2-ftAverage End-Point Error4.69—Unverified
8IRR-PWCAverage End-Point Error4.58—Unverified
9LiteFlowNet3-SAverage End-Point Error4.53—Unverified
10ContinualFlow + ftAverage End-Point Error4.52—Unverified
#ModelMetricClaimedVerifiedStatus
1PWC-NetF1-all33.7—Unverified
2FastFlowNetF1-all33.1—Unverified
3FlowNet2F1-all30—Unverified
4VCNF1-all25.1—Unverified
5HD3F1-all24—Unverified
6MaskFlowNetF1-all23.1—Unverified
7SCVF1-all19.3—Unverified
8RAPIDFlowF1-all17.7—Unverified
9CRAFTF1-all17.5—Unverified
10RAFTF1-all17.4—Unverified
#ModelMetricClaimedVerifiedStatus
1FastFlowNet-ftFl-all11.22—Unverified
2UnrolledCostFl-all10.81—Unverified
3LiteFlowNet-ftFl-all9.38—Unverified
4SelFlowFl-all8.42—Unverified
5IRR-PWCFl-all7.65—Unverified
6LiteFlowNet2-ftFl-all7.62—Unverified
7LiteFlowNet3Fl-all7.34—Unverified
8LiteFlowNet3-SFl-all7.22—Unverified
9MaskFlownet-SFl-all6.81—Unverified
10RAPIDFlowFl-all6.12—Unverified
#ModelMetricClaimedVerifiedStatus
1FastFlowNet-ftAverage End-Point Error1.8—Unverified
2LiteFlowNet-ftAverage End-Point Error1.6—Unverified
3IRR-PWCAverage End-Point Error1.6—Unverified
4SelFlowAverage End-Point Error1.5—Unverified
5FDFlowNet-ftAverage End-Point Error1.5—Unverified
6PWC-Net + ft - axXivAverage End-Point Error1.5—Unverified
7LiteFlowNet2-ftAverage End-Point Error1.4—Unverified
8LiteFlowNet3-SAverage End-Point Error1.3—Unverified
9LiteFlowNet3Average End-Point Error1.3—Unverified
10MaskFlownetAverage End-Point Error1.1—Unverified
#ModelMetricClaimedVerifiedStatus
1PWCNet1px total82.27—Unverified
2SPyNet1px total29.96—Unverified
3GMFlow1px total10.36—Unverified
4GMA1px total7.07—Unverified
5RAFT1px total6.79—Unverified
6FlowNet21px total6.71—Unverified
7FlowFormer1px total6.51—Unverified
8MS-RAFT+1px total5.72—Unverified
9RPKNet1px total4.81—Unverified
10DPFlow1px total3.44—Unverified
#ModelMetricClaimedVerifiedStatus
1UFlowAverage End-Point Error5.21—Unverified
2MDFlow-FastAverage End-Point Error4.73—Unverified
3UpFlowAverage End-Point Error4.68—Unverified
4ARFlow-MVAverage End-Point Error4.49—Unverified
5MDFlowAverage End-Point Error4.16—Unverified
#ModelMetricClaimedVerifiedStatus
1UFlowAverage End-Point Error6.5—Unverified
2MDFlow-FastAverage End-Point Error5.99—Unverified
3ARFlow-MVAverage End-Point Error5.67—Unverified
4MDFlowAverage End-Point Error5.46—Unverified
5UpFlowAverage End-Point Error5.32—Unverified
#ModelMetricClaimedVerifiedStatus
1ARFlow-MVFl-all11.79—Unverified
2MDFlow-FastFl-all11.43—Unverified
3UpFlowFl-all9.38—Unverified
4MDFlowFl-all8.91—Unverified
#ModelMetricClaimedVerifiedStatus
1ARFlow-MVAverage End-Point Error1.5—Unverified
2UpFlowAverage End-Point Error1.4—Unverified