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 201250 of 2184 papers

TitleStatusHype
Automatic Infant Respiration Estimation from Video: A Deep Flow-based Algorithm and a Novel Public BenchmarkCode1
Diffeomorphic Particle Image VelocimetryCode1
A Lightweight Recurrent Aggregation Network for Satellite Video Super-ResolutionCode1
DF-VO: What Should Be Learnt for Visual Odometry?Code1
Aligning First, Then Fusing: A Novel Weakly Supervised Multimodal Violence Detection MethodCode1
FlowNet: Learning Optical Flow with Convolutional NetworksCode1
Depth-Cooperated Trimodal Network for Video Salient Object DetectionCode1
E-RAFT: Dense Optical Flow from Event CamerasCode1
Texture-guided Saliency Distilling for Unsupervised Salient Object DetectionCode1
Future Frame Prediction for Anomaly Detection -- A New BaselineCode1
GestFormer: Multiscale Wavelet Pooling Transformer Network for Dynamic Hand Gesture RecognitionCode1
GlobalFlowNet: Video Stabilization using Deep Distilled Global Motion EstimatesCode1
Delving into Crispness: Guided Label Refinement for Crisp Edge DetectionCode1
GLU-Net: Global-Local Universal Network for Dense Flow and CorrespondencesCode1
GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS dataCode1
GradICON: Approximate Diffeomorphisms via Gradient Inverse ConsistencyCode1
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression TasksCode1
GyroFlow: Gyroscope-Guided Unsupervised Optical Flow LearningCode1
CCVS: Context-aware Controllable Video SynthesisCode1
Hidden Two-Stream Convolutional Networks for Action RecognitionCode1
Hierarchical Space-Time Attention for Micro-Expression RecognitionCode1
High-quality Panorama Stitching based on Asymmetric Bidirectional Optical FlowCode1
UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place SolutionCode1
Belief Propagation Reloaded: Learning BP-Layers for Labeling ProblemsCode1
DEFLOW: Self-supervised 3D Motion Estimation of Debris FlowCode1
Implicit Motion FunctionCode1
Adaptive Multi-source Predictor for Zero-shot Video Object SegmentationCode1
Dense Continuous-Time Optical Flow from Events and FramesCode1
DIP: Deep Inverse Patchmatch for High-Resolution Optical FlowCode1
Beyond a Video Frame Interpolator: A Space Decoupled Learning Approach to Continuous Image TransitionCode1
Is Appearance Free Action Recognition Possible?Code1
IVS3D: An Open Source Framework for Intelligent Video Sampling and Preprocessing to Facilitate 3D ReconstructionCode1
Deep Video Matting via Spatio-Temporal Alignment and AggregationCode1
BF-STVSR: B-Splines and Fourier-Best Friends for High Fidelity Spatial-Temporal Video Super-ResolutionCode1
BF-STVSR: B-Splines and Fourier---Best Friends for High Fidelity Spatial-Temporal Video Super-ResolutionCode1
Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural NetworksCode1
An Attention-guided Multistream Feature Fusion Network for Localization of Risky Objects in Driving VideosCode1
Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow EstimationCode1
A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical FlowCode1
Blind Video Temporal Consistency via Deep Video PriorCode1
Learning Geocentric Object Pose in Oblique Monocular ImagesCode1
Learning How To Robustly Estimate Camera Pose in Endoscopic VideosCode1
Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event CameraCode1
Deep Slow Motion Video Reconstruction with Hybrid Imaging SystemCode1
Abstract Flow for Temporal Semantic Segmentation on the Permutohedral LatticeCode1
Learning Optical Flow from a Few MatchesCode1
Deep Two-View Structure-from-Motion RevisitedCode1
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual GroupingCode1
Learning RAW-to-sRGB Mappings with Inaccurately Aligned SupervisionCode1
Deep Video Super-Resolution using HR Optical Flow EstimationCode1
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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