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

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Showing 1401–1450 of 2184 papers

TitleStatusHype
OmniFlow: Human Omnidirectional Optical Flow—0
OmniTrack: Real-time detection and tracking of objects, text and logos in video—0
On an Edge-Preserving Variational Model for Optical Flow Estimation—0
On a spatial-temporal decomposition of the optical flow—0
One-Shot Face Video Re-enactment using Hybrid Latent Spaces of StyleGAN2—0
One-Shot-Learning Gesture Recognition using HOG-HOF Features—0
One-Step Time-Dependent Future Video Frame Prediction with a Convolutional Encoder-Decoder Neural Network—0
On Flow Profile Image for Video Representation—0
On guiding video object segmentation—0
Blur Robust Optical Flow using Motion Channel—0
4D Gaussian Splatting SLAM—0
Online Video Object Segmentation via Convolutional Trident Network—0
Block-Matching Optical Flow for Dynamic Vision Sensor- Algorithm and FPGA Implementation—0
On Optical Flow Models for Variational Motion Estimation—0
On-Orbit Smart Camera System to Observe Illuminated and Unilluminated Space Objects—0
On the Importance of Video Action Recognition for Visual Lipreading—0
On the Integration of Optical Flow and Action Recognition—0
On the Space-Time Statistics of Motion Pictures—0
Ontology Based Global and Collective Motion Patterns for Event Classification in Basketball Videos—0
BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Events—0
Open-Vocabulary Temporal Action Detection with Off-the-Shelf Image-Text Features—0
OpFlowTalker: Realistic and Natural Talking Face Generation via Optical Flow Guidance—0
OPPH: A Vision-Based Operator for Measuring Body Movements for Personal Healthcare—0
Optical Flow and Mode Selection for Learning-based Video Coding—0
Optical flow and scene flow estimation: A survey—0
Optical Flow augmented Semantic Segmentation networks for Automated Driving—0
Optical Flow-based 3D Human Motion Estimation from Monocular Video—0
Optical Flow Based Background Subtraction with a Moving Camera: Application to Autonomous Driving—0
Optical flow-based branch segmentation for complex orchard environments—0
BlinkFlow: A Dataset to Push the Limits of Event-based Optical Flow Estimation—0
Optical Flow Based Online Moving Foreground Analysis—0
Optical Flow Based Real-time Moving Object Detection in Unconstrained Scenes—0
BiM-VFI: Bidirectional Motion Field-Guided Frame Interpolation for Video with Non-uniform Motions—0
Vertical Landing for Micro Air Vehicles using Event-Based Optical Flow—0
Optical Flow Dataset Synthesis from Unpaired Images—0
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer—0
Optical Flow Estimation from a Single Motion-blurred Image—0
Optical Flow Estimation in 360^ Videos: Dataset, Model and Application—0
Optical Flow Estimation in the Deep Learning Age—0
Bi-Directional Semi-Supervised Training of Convolutional Neural Networks for Ultrasound Elastography Displacement Estimation—0
Optical Flow Estimation Using Laplacian Mesh Energy—0
Optical Flow Estimation via Motion Feature Recovery—0
Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution—0
Optical Flow for Autonomous Driving: Applications, Challenges and Improvements—0
Temporal Interpolation of Geostationary Satellite Imagery with Task Specific Optical Flow—0
Optical Flow for Video Super-Resolution: A Survey—0
Optical flow GNSS for navigation in the Indian subcontinent (NavIC)—0
VidCRAFT3: Camera, Object, and Lighting Control for Image-to-Video Generation—0
Optical-Flow Guided Prompt Optimization for Coherent Video Generation—0
Optical Flow in Dense Foggy Scenes using Semi-Supervised Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SpynetAverage End-Point Error6.64—Unverified
2FastFlowNet-ftAverage End-Point Error4.89—Unverified
3UnrolledCostAverage End-Point Error4.69—Unverified
4LiteFlowNet-ftAverage End-Point Error4.54—Unverified
5FlowNet2Average End-Point Error3.96—Unverified
6IRR-PWCAverage End-Point Error3.84—Unverified
7SelFlowAverage End-Point Error3.74—Unverified
8FDFlowNet-ftAverage End-Point Error3.71—Unverified
9ScopeFlowAverage End-Point Error3.59—Unverified
10LiteFlowNet2-ftAverage End-Point Error3.48—Unverified
#ModelMetricClaimedVerifiedStatus
1SpynetAverage End-Point Error8.36—Unverified
2FastFlowNet-ftAverage End-Point Error6.08—Unverified
3UnrolledCostAverage End-Point Error5.8—Unverified
4MR-FlowAverage End-Point Error5.38—Unverified
5LiteFlowNet-ftAverage End-Point Error5.38—Unverified
6FDFlowNet-ftAverage End-Point Error5.11—Unverified
7LiteFlowNet2-ftAverage End-Point Error4.69—Unverified
8IRR-PWCAverage End-Point Error4.58—Unverified
9LiteFlowNet3-SAverage End-Point Error4.53—Unverified
10ContinualFlow + ftAverage End-Point Error4.52—Unverified
#ModelMetricClaimedVerifiedStatus
1PWC-NetF1-all33.7—Unverified
2FastFlowNetF1-all33.1—Unverified
3FlowNet2F1-all30—Unverified
4VCNF1-all25.1—Unverified
5HD3F1-all24—Unverified
6MaskFlowNetF1-all23.1—Unverified
7SCVF1-all19.3—Unverified
8RAPIDFlowF1-all17.7—Unverified
9CRAFTF1-all17.5—Unverified
10RAFTF1-all17.4—Unverified
#ModelMetricClaimedVerifiedStatus
1FastFlowNet-ftFl-all11.22—Unverified
2UnrolledCostFl-all10.81—Unverified
3LiteFlowNet-ftFl-all9.38—Unverified
4SelFlowFl-all8.42—Unverified
5IRR-PWCFl-all7.65—Unverified
6LiteFlowNet2-ftFl-all7.62—Unverified
7LiteFlowNet3Fl-all7.34—Unverified
8LiteFlowNet3-SFl-all7.22—Unverified
9MaskFlownet-SFl-all6.81—Unverified
10RAPIDFlowFl-all6.12—Unverified
#ModelMetricClaimedVerifiedStatus
1FastFlowNet-ftAverage End-Point Error1.8—Unverified
2LiteFlowNet-ftAverage End-Point Error1.6—Unverified
3IRR-PWCAverage End-Point Error1.6—Unverified
4SelFlowAverage End-Point Error1.5—Unverified
5FDFlowNet-ftAverage End-Point Error1.5—Unverified
6PWC-Net + ft - axXivAverage End-Point Error1.5—Unverified
7LiteFlowNet2-ftAverage End-Point Error1.4—Unverified
8LiteFlowNet3-SAverage End-Point Error1.3—Unverified
9LiteFlowNet3Average End-Point Error1.3—Unverified
10MaskFlownetAverage End-Point Error1.1—Unverified
#ModelMetricClaimedVerifiedStatus
1PWCNet1px total82.27—Unverified
2SPyNet1px total29.96—Unverified
3GMFlow1px total10.36—Unverified
4GMA1px total7.07—Unverified
5RAFT1px total6.79—Unverified
6FlowNet21px total6.71—Unverified
7FlowFormer1px total6.51—Unverified
8MS-RAFT+1px total5.72—Unverified
9RPKNet1px total4.81—Unverified
10DPFlow1px total3.44—Unverified
#ModelMetricClaimedVerifiedStatus
1UFlowAverage End-Point Error5.21—Unverified
2MDFlow-FastAverage End-Point Error4.73—Unverified
3UpFlowAverage End-Point Error4.68—Unverified
4ARFlow-MVAverage End-Point Error4.49—Unverified
5MDFlowAverage End-Point Error4.16—Unverified
#ModelMetricClaimedVerifiedStatus
1UFlowAverage End-Point Error6.5—Unverified
2MDFlow-FastAverage End-Point Error5.99—Unverified
3ARFlow-MVAverage End-Point Error5.67—Unverified
4MDFlowAverage End-Point Error5.46—Unverified
5UpFlowAverage End-Point Error5.32—Unverified
#ModelMetricClaimedVerifiedStatus
1ARFlow-MVFl-all11.79—Unverified
2MDFlow-FastFl-all11.43—Unverified
3UpFlowFl-all9.38—Unverified
4MDFlowFl-all8.91—Unverified
#ModelMetricClaimedVerifiedStatus
1ARFlow-MVAverage End-Point Error1.5—Unverified
2UpFlowAverage End-Point Error1.4—Unverified