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 16011650 of 2184 papers

TitleStatusHype
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks0
AssembleNet: Searching for Multi-Stream Neural Connectivity in Video ArchitecturesCode0
Hallucinating Optical Flow Features for Video ClassificationCode0
Video-based Person Re-identification with Two-stream Convolutional Network and Co-attentive Snippet Embedding0
Exploring Temporal Information for Improved Video UnderstandingCode0
Exploration via Flow-Based Intrinsic RewardsCode0
Neuro-Optimization: Learning Objective Functions Using Neural Networks0
Precipitation Nowcasting with Satellite Imagery0
Bridging Stereo Matching and Optical Flow via Spatiotemporal CorrespondenceCode0
Improved Optical Flow for Gesture-based Human-robot Interaction0
Rethinking Atmospheric Turbulence Mitigation0
On Flow Profile Image for Video Representation0
Frame-Recurrent Video Inpainting by Robust Optical Flow Inference0
Deep Flow-Guided Video InpaintingCode0
Sparse data interpolation using the geodesic distance affinity space0
Deep Video InpaintingCode0
Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading0
DPSNet: End-to-end Deep Plane Sweep StereoCode0
Cross-Modal Message Passing for Two-stream Fusion0
Spatio-Temporal Filter Adaptive Network for Video DeblurringCode0
Optical Flow Techniques for Facial Expression Analysis -- a Practical Evaluation Study0
A Conditional Adversarial Network for Scene Flow EstimationCode0
On guiding video object segmentation0
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks0
SelFlow: Self-Supervised Learning of Optical FlowCode0
End-to-End Learning of Representations for Asynchronous Event-Based DataCode0
Self-Supervised Flow Estimation using Geometric Regularization with Applications to Camera Image and Grid Map Sequences0
Algorithm for the reconstruction of dynamic objects in CT-scanning using optical flow0
Focus Is All You Need: Loss Functions For Event-based VisionCode0
PIV-Based 3D Fluid Flow Reconstruction Using Light Field Camera0
Estimation of Linear Motion in Dense Crowd Videos using Langevin Model0
VORNet: Spatio-temporally Consistent Video Inpainting for Object Removal0
PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow EstimationCode0
Digging Deeper into Egocentric Gaze Prediction0
Iterative Residual Refinement for Joint Optical Flow and Occlusion EstimationCode0
3DPeople: Modeling the Geometry of Dressed Humans0
MVF-Net: Multi-View 3D Face Morphable Model RegressionCode0
Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes0
Deep Predictive Video Compression with Bi-directional Prediction0
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks0
Architecture Search of Dynamic Cells for Semantic Video Segmentation0
Evaluation of the Spatio-Temporal features and GAN for Micro-expression Recognition System0
Multigrid Predictive Filter Flow for Unsupervised Learning on VideosCode0
Dance with Flow: Two-in-One Stream Action DetectionCode0
TAN: Temporal Affine Network for Real-Time Left Ventricle Anatomical Structure Analysis Based on 2D Ultrasound Videos0
Machine Vision for Natural Gas Methane Emissions Detection Using an Infrared Camera0
Surgical Gesture Recognition with Optical Flow only0
Fast video object segmentation with Spatio-Temporal GANs0
Blur Removal via Blurred-Noisy Image Pair0
Micro-expression detection in long videos using optical flow and recurrent neural networks0
Show:102550
← PrevPage 33 of 44Next →

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