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 14011450 of 2184 papers

TitleStatusHype
OmniFlow: Human Omnidirectional Optical Flow0
OmniTrack: Real-time detection and tracking of objects, text and logos in video0
On an Edge-Preserving Variational Model for Optical Flow Estimation0
On a spatial-temporal decomposition of the optical flow0
One-Shot Face Video Re-enactment using Hybrid Latent Spaces of StyleGAN20
One-Shot-Learning Gesture Recognition using HOG-HOF Features0
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network0
On Flow Profile Image for Video Representation0
On guiding video object segmentation0
Blur Robust Optical Flow using Motion Channel0
4D Gaussian Splatting SLAM0
Online Video Object Segmentation via Convolutional Trident Network0
Block-Matching Optical Flow for Dynamic Vision Sensor- Algorithm and FPGA Implementation0
On Optical Flow Models for Variational Motion Estimation0
On-Orbit Smart Camera System to Observe Illuminated and Unilluminated Space Objects0
On the Importance of Video Action Recognition for Visual Lipreading0
On the Integration of Optical Flow and Action Recognition0
On the Space-Time Statistics of Motion Pictures0
Ontology Based Global and Collective Motion Patterns for Event Classification in Basketball Videos0
BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Events0
Open-Vocabulary Temporal Action Detection with Off-the-Shelf Image-Text Features0
OpFlowTalker: Realistic and Natural Talking Face Generation via Optical Flow Guidance0
OPPH: A Vision-Based Operator for Measuring Body Movements for Personal Healthcare0
Optical Flow and Mode Selection for Learning-based Video Coding0
Optical flow and scene flow estimation: A survey0
Optical Flow augmented Semantic Segmentation networks for Automated Driving0
Optical Flow-based 3D Human Motion Estimation from Monocular Video0
Optical Flow Based Background Subtraction with a Moving Camera: Application to Autonomous Driving0
Optical flow-based branch segmentation for complex orchard environments0
BlinkFlow: A Dataset to Push the Limits of Event-based Optical Flow Estimation0
Optical Flow Based Online Moving Foreground Analysis0
Optical Flow Based Real-time Moving Object Detection in Unconstrained Scenes0
BiM-VFI: Bidirectional Motion Field-Guided Frame Interpolation for Video with Non-uniform Motions0
Vertical Landing for Micro Air Vehicles using Event-Based Optical Flow0
Optical Flow Dataset Synthesis from Unpaired Images0
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer0
Optical Flow Estimation from a Single Motion-blurred Image0
Optical Flow Estimation in 360^ Videos: Dataset, Model and Application0
Optical Flow Estimation in the Deep Learning Age0
Bi-Directional Semi-Supervised Training of Convolutional Neural Networks for Ultrasound Elastography Displacement Estimation0
Optical Flow Estimation Using Laplacian Mesh Energy0
Optical Flow Estimation via Motion Feature Recovery0
Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution0
Optical Flow for Autonomous Driving: Applications, Challenges and Improvements0
Temporal Interpolation of Geostationary Satellite Imagery with Task Specific Optical Flow0
Optical Flow for Video Super-Resolution: A Survey0
Optical flow GNSS for navigation in the Indian subcontinent (NavIC)0
VidCRAFT3: Camera, Object, and Lighting Control for Image-to-Video Generation0
Optical-Flow Guided Prompt Optimization for Coherent Video Generation0
Optical Flow in Dense Foggy Scenes using Semi-Supervised Learning0
Show:102550
← PrevPage 29 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