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 251300 of 2184 papers

TitleStatusHype
Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent TransformerCode1
FlowNAS: Neural Architecture Search for Optical Flow EstimationCode1
Hybrid Cost Volume for Memory-Efficient Optical FlowCode1
Motion Representation Using Residual Frames with 3D CNNCode1
Implementation of the VBM3D Video Denoising Method and Some VariantsCode1
High-quality Panorama Stitching based on Asymmetric Bidirectional Optical FlowCode1
Hierarchical Space-Time Attention for Micro-Expression RecognitionCode1
High Resolution Multi-Scale RAFT (Robust Vision Challenge 2022)Code1
Depth-Cooperated Trimodal Network for Video Salient Object DetectionCode1
Deep Video Super-Resolution using HR Optical Flow EstimationCode1
Hierarchical Feature Alignment Network for Unsupervised Video Object SegmentationCode1
High-Resolution Optical Flow from 1D Attention and CorrelationCode1
Implicit Motion FunctionCode1
IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture RecognitionCode1
Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion ModelsCode1
GradICON: Approximate Diffeomorphisms via Gradient Inverse ConsistencyCode1
GyroFlow: Gyroscope-Guided Unsupervised Optical Flow LearningCode1
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural NetworkCode1
D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion PredictionCode1
GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS dataCode1
HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark DatasetCode1
CCMR: High Resolution Optical Flow Estimation via Coarse-to-Fine Context-Guided Motion ReasoningCode1
Globally Consistent Video Depth and Pose Estimation with Efficient Test-Time TrainingCode1
Global Matching with Overlapping Attention for Optical Flow EstimationCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
Cascaded Deep Video Deblurring Using Temporal Sharpness PriorCode1
Unified Domain Adaptive Semantic SegmentationCode1
GLU-Net: Global-Local Universal Network for Dense Flow and CorrespondencesCode1
GAFlow: Incorporating Gaussian Attention into Optical FlowCode1
CCVS: Context-aware Controllable Video SynthesisCode1
Future Frame Prediction for Anomaly Detection – A New BaselineCode1
Channel Attention Is All You Need for Video Frame InterpolationCode1
Decoupling Dynamic Monocular Videos for Dynamic View SynthesisCode1
Deep Equilibrium Optical Flow EstimationCode1
Deep Animation Video Interpolation in the WildCode1
Deep Burst Super-ResolutionCode1
Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event CameraCode1
3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World ModelCode1
Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration NetworkCode1
DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-ReflectorsCode1
Deep Rotation Correction without Angle PriorCode1
ClothFormer:Taming Video Virtual Try-on in All ModuleCode1
Deep Multi-view Depth Estimation with Predicted UncertaintyCode1
Deep Online Fused Video StabilizationCode1
CloudCast -- Total Cloud Cover Nowcasting with Machine LearningCode1
Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video EventsCode1
GestFormer: Multiscale Wavelet Pooling Transformer Network for Dynamic Hand Gesture RecognitionCode1
Deep Two-View Structure-from-Motion RevisitedCode1
A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical FlowCode1
Deep Learning for Event-based Vision: A Comprehensive Survey and BenchmarksCode1
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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
4LiteFlowNet-ftAverage End-Point Error5.38Unverified
5MR-FlowAverage 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
2IRR-PWCAverage End-Point Error1.6Unverified
3LiteFlowNet-ftAverage End-Point Error1.6Unverified
4PWC-Net + ft - axXivAverage End-Point Error1.5Unverified
5FDFlowNet-ftAverage End-Point Error1.5Unverified
6SelFlowAverage End-Point Error1.5Unverified
7LiteFlowNet2-ftAverage End-Point Error1.4Unverified
8LiteFlowNet3Average End-Point Error1.3Unverified
9LiteFlowNet3-SAverage End-Point Error1.3Unverified
10MaskFlownet-SAverage 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