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 21012150 of 2184 papers

TitleStatusHype
Unsupervised Coherent Video Cartoonization with Perceptual Motion ConsistencyCode0
eCARLA-scenes: A synthetically generated dataset for event-based optical flow predictionCode0
Bayesian Optical Flow with Uncertainty QuantificationCode0
A Cloud-based Deep Learning Framework for Early Detection of Pushing at Crowded Event EntrancesCode0
SIDAR: Synthetic Image Dataset for Alignment & RestorationCode0
SigFormer: Sparse Signal-Guided Transformer for Multi-Modal Human Action SegmentationCode0
An Internal Learning Approach to Video InpaintingCode0
Predicting Deeper into the Future of Semantic SegmentationCode0
Predicting Future Instance Segmentation by Forecasting Convolutional FeaturesCode0
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry PerceptionCode0
Video Depth Estimation by Fusing Flow-to-Depth ProposalsCode0
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
Weakly-Supervised Optical Flow Estimation for Time-of-FlightCode0
Accurate and efficient video de-fencing using convolutional neural networks and temporal informationCode0
Predictive online optimisation with applications to optical flowCode0
KORSAL: Key-point Detection based Online Real-Time Spatio-Temporal Action LocalizationCode0
Unsupervised Event-based Learning of Optical Flow, Depth, and EgomotionCode0
Privacy-preserving Early Detection of Epileptic Seizures in VideosCode0
TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic SceneCode0
Kernel learning for visual perceptionCode0
Anchor Diffusion for Unsupervised Video Object SegmentationCode0
Simultaneous Motion And Noise Estimation with Event CamerasCode0
BatMobility: Towards Flying Without Seeing for Autonomous DronesCode0
An Analysis of Parallelized Motion Masking Using Dual-Mode Single Gaussian ModelsCode0
Automatic Generation of Dense Non-rigid Optical FlowCode0
Accelerated First Order Methods for Variational ImagingCode0
Joint Detection of Motion Boundaries and OcclusionsCode0
BAT: Learning Event-based Optical Flow with Bidirectional Adaptive Temporal CorrelationCode0
DECOMPL: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball ImageCode0
Iterative Residual Refinement for Joint Optical Flow and Occlusion EstimationCode0
Autonomous Driving Implementation in an Experimental EnvironmentCode0
Dynamic Filter NetworksCode0
Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTMCode0
Unsupervised Learning of 3D Scene Flow from Monocular CameraCode0
Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion PerceptionCode0
Video Frame Interpolation Based on Deformable Kernel RegionCode0
Video Frame Interpolation via Adaptive Separable ConvolutionCode0
InterpoNet, A brain inspired neural network for optical flow dense interpolationCode0
Inference-Time Gaze Refinement for Micro-Expression Recognition: Enhancing Event-Based Eye Tracking with Motion-Aware Post-ProcessingCode0
PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow EstimationCode0
DDFlow: Learning Optical Flow with Unlabeled Data DistillationCode0
Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural NetworkCode0
Dual-Stream Attention Transformers for Sewer Defect ClassificationCode0
Three for one and one for three: Flow, Segmentation, and Surface NormalsCode0
Dance with Flow: Two-in-One Stream Action DetectionCode0
RALACs: Action Recognition in Autonomous Vehicles using Interaction Encoding and Optical FlowCode0
Improving Audio-Visual Segmentation with Bidirectional GenerationCode0
TIDE: Temporally Incremental Disparity Estimation via Pattern Flow in Structured Light SystemCode0
Image Velocimetry using Direct Displacement Field estimation with Neural Networks for FluidsCode0
Im2Flow: Motion Hallucination from Static Images for Action RecognitionCode0
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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