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 17011750 of 2184 papers

TitleStatusHype
Explicit Spatiotemporal Joint Relation Learning for Tracking Human Pose0
Optical Flow Dataset and Benchmark for Visual Crowd AnalysisCode0
Learned Video Compression0
Optical Flow Based Background Subtraction with a Moving Camera: Application to Autonomous Driving0
Exploiting temporal and depth information for multi-frame face anti-spoofingCode1
An initial attempt of combining visual selective attention with deep reinforcement learning0
A torus model for optical flowCode0
Learning Energy Based Inpainting for Optical FlowCode0
Cross and Learn: Cross-Modal Self-SupervisionCode0
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary NetworksCode0
Variational Approach for Capsule Video Frame InterpolationCode0
Evolvement Constrained Adversarial Learning for Video Style Transfer0
Continual Occlusions and Optical Flow Estimation0
SDCNet: Video Prediction Using Spatially-Displaced ConvolutionCode2
Asymmetric Bilateral Phase Correlation for Optical Flow Estimation in the Frequency Domain0
Random Temporal Skipping for Multirate Video Analysis0
Deep learning based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography0
Mask Propagation Network for Video Object Segmentation0
A Fusion Approach for Multi-Frame Optical Flow EstimationCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and EnhancementCode0
Left Ventricle Segmentation via Optical-Flow-Net from Short-axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and EnhancementCode0
DGC-Net: Dense Geometric Correspondence NetworkCode0
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic UnderstandingCode0
Inter-BMV: Interpolation with Block Motion Vectors for Fast Semantic Segmentation on Video0
Joint Unsupervised Learning of Optical Flow and Depth by Watching Stereo VideosCode1
Finding Correspondences for Optical Flow and Disparity Estimations using a Sub-pixel Convolution-based Encoder-Decoder Network0
Representation Flow for Action RecognitionCode0
AgriColMap: Aerial-Ground Collaborative 3D Mapping for Precision FarmingCode0
Rate-Accuracy Trade-Off In Video Classification With Deep Convolutional Neural NetworksCode0
Learning for Video Super-Resolution through HR Optical Flow EstimationCode1
Unsupervised Learning of Dense Optical Flow, Depth and Egomotion from Sparse Event Data0
Temporal Interpolation as an Unsupervised Pretraining Task for Optical Flow Estimation0
Recurrent Flow-Guided Semantic ForecastingCode0
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance SystemsCode1
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow EstimationCode0
Using phase instead of optical flow for action recognitionCode0
Optimizing deep video representation to match brain activity0
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark0
On-Orbit Smart Camera System to Observe Illuminated and Unilluminated Space Objects0
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task ConsistencyCode0
Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation0
YouTube-VOS: Sequence-to-Sequence Video Object SegmentationCode1
Optical Flow Super-Resolution Based on Image Guidence Using Convolutional Neural Network0
Structure-from-Motion-Aware PatchMatch for Adaptive Optical Flow Estimation0
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions0
MRF Optimization with Separable Convex Prior on Partially Ordered Labels0
SDC-Net: Video prediction using spatially-displaced convolutionCode0
Spatio-temporal Transformer Network for Video Restoration0
Selfie Video Stabilization0
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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
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