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

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Showing 201–250 of 2184 papers

TitleStatusHype
Making Reconstruction-based Method Great Again for Video Anomaly DetectionCode1
Planar Object Tracking via Weighted Optical FlowCode1
Interactive Control over Temporal Consistency while Stylizing Video StreamsCode1
Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow EstimationCode1
Explicit Motion Disentangling for Efficient Optical Flow EstimationCode1
LightedDepth: Video Depth Estimation in Light of Limited Inference View AnglesCode1
Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-ResolutionCode1
Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution VideosCode1
Learning Dense Object Descriptors from Multiple Views for Low-shot Category GeneralizationCode1
Learning Single Image Defocus Deblurring with Misaligned Training PairsCode1
Lightweight Event-based Optical Flow Estimation via Iterative DeblurringCode1
Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent TransformerCode1
Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional ApproachCode1
Learning Dense and Continuous Optical Flow from an Event CameraCode1
MDFlow: Unsupervised Optical Flow Learning by Reliable Mutual Knowledge DistillationCode1
AnimeRun: 2D Animation Visual Correspondence from Open Source 3D MoviesCode1
A Unified Pyramid Recurrent Network for Video Frame InterpolationCode1
Hear The Flow: Optical Flow-Based Self-Supervised Visual Sound Source LocalizationCode1
High Resolution Multi-Scale RAFT (Robust Vision Challenge 2022)Code1
Exploring Spatial-Temporal Features for Deepfake Detection and LocalizationCode1
Bootstrapping Human Optical Flow and PoseCode1
GlobalFlowNet: Video Stabilization using Deep Distilled Global Motion EstimatesCode1
Masked Motion Encoding for Self-Supervised Video Representation LearningCode1
Oflib: Facilitating Operations with and on Optical Flow Fields in PythonCode1
Micro Expression Generation with Thin-plate Spline Motion Model and Face ParsingCode1
Rolling Shutter Inversion: Bring Rolling Shutter Images to High Framerate Global Shutter VideoCode1
Event-based Temporally Dense Optical Flow Estimation with Sequential LearningCode1
E-VFIA : Event-Based Video Frame Interpolation with AttentionCode1
SF2SE3: Clustering Scene Flow into SE(3)-Motions via Proposal and SelectionCode1
An Attention-guided Multistream Feature Fusion Network for Localization of Risky Objects in Driving VideosCode1
Unsupervised Video Object Segmentation via Prototype Memory NetworkCode1
An Empirical Study of End-to-End Video-Language Transformers with Masked Visual ModelingCode1
Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object SegmentationCode1
Motion Robust High-Speed Light-Weighted Object Detection With Event CameraCode1
Globally Consistent Video Depth and Pose Estimation with Efficient Test-Time TrainingCode1
Less is More: Consistent Video Depth Estimation with Masked Frames ModelingCode1
Efficient Video Deblurring Guided by Motion MagnitudeCode1
GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS dataCode1
Multi-Scale RAFT: Combining Hierarchical Concepts for Learning-based Optical FLow EstimationCode1
RealFlow: EM-based Realistic Optical Flow Dataset Generation from VideosCode1
Mining Relations among Cross-Frame Affinities for Video Semantic SegmentationCode1
Semi-Supervised Learning of Optical Flow by Flow SupervisorCode1
Secrets of Event-Based Optical FlowCode1
Animation from Blur: Multi-modal Blur Decomposition with Motion GuidanceCode1
Hierarchical Feature Alignment Network for Unsupervised Video Object SegmentationCode1
Is Appearance Free Action Recognition Possible?Code1
Texture-guided Saliency Distilling for Unsupervised Salient Object DetectionCode1
Event Collapse in Contrast Maximization FrameworksCode1
Deep Rotation Correction without Angle PriorCode1
FlowNAS: Neural Architecture Search for Optical Flow EstimationCode1
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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