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 15511600 of 2184 papers

TitleStatusHype
Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles0
Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation0
What goes around comes around: Cycle-Consistency-based Short-Term Motion Prediction for Anomaly Detection using Generative Adversarial Networks0
Mono-Stixels: Monocular depth reconstruction of dynamic street scenes0
Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image RepresentationsCode1
Temporal Interpolation of Geostationary Satellite Imagery with Task Specific Optical Flow0
Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTMCode0
Differential Scene Flow from Light Field Gradients0
StableNet: Semi-Online, Multi-Scale Deep Video Stabilization0
Real-Time Driver State Monitoring Using a CNN Based Spatio-Temporal Approach0
Scene Motion Decomposition for Learnable Visual Odometry0
Speed estimation evaluation on the KITTI benchmark based on motion and monocular depth information0
Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach0
Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera0
Spacetime Graph Optimization for Video Object Segmentation0
Sim2real transfer learning for 3D human pose estimation: motion to the rescue0
A Deep Neural Framework for Continuous Sign Language Recognition by Iterative TrainingCode0
Robustness Guarantees for Deep Neural Networks on Videos0
DeepVIO: Self-supervised Deep Learning of Monocular Visual Inertial Odometry using 3D Geometric Constraints0
Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition with CNNs0
Video Modeling with Correlation Networks0
Evolving Losses for Unlabeled Video Representation Learning0
Learning Temporal Pose Estimation from Sparsely-Labeled VideosCode0
Two-Stream Region Convolutional 3D Network for Temporal Activity Detection0
Event Cameras, Contrast Maximization and Reward Functions: An AnalysisCode0
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks0
PA3D: Pose-Action 3D Machine for Video Recognition0
Creative Flow+ DatasetCode0
MARS: Motion-Augmented RGB Stream for Action RecognitionCode0
UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching VideosCode1
Robust Video Stabilization by Optimization in CNN Weight Space0
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
What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality AttentionCode1
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
Deep Flow-Guided Video InpaintingCode0
Frame-Recurrent Video Inpainting by Robust Optical Flow Inference0
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
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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