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 19011950 of 2184 papers

TitleStatusHype
MOTChallenge 2015: Towards a Benchmark for Multi-Target TrackingCode0
Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal EchocardiographyCode0
RespVAD: Voice Activity Detection via Video-Extracted Respiration PatternsCode0
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion SegmentationCode0
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow EstimationCode0
Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action LocalizationCode0
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
Zero-TIG: Temporal Consistency-Aware Zero-Shot Illumination-Guided Low-light Video EnhancementCode0
Cost Function Unrolling in Unsupervised Optical FlowCode0
Multiview Contrastive Learning for Completely Blind Video Quality Assessment of User Generated ContentCode0
Generalized Closed-form Formulae for Feature-based Subpixel Alignment in Patch-based MatchingCode0
From Third Person to First Person: Dataset and Baselines for Synthesis and RetrievalCode0
MIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion RecognitionCode0
Multiview Supervision By RegistrationCode0
Focus Is All You Need: Loss Functions For Event-based VisionCode0
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation LearningCode0
Rethink Predicting the Optical Flow with the Kinetics PerspectiveCode0
1st Solution Places for CVPR 2023 UG^2+ Challenge Track 2.1-Text Recognition through Atmospheric TurbulenceCode0
MicroBundlePillarTrack: A Python package for automated segmentation, tracking, and analysis of pillar deflection in cardiac microbundlesCode0
Attenuation-Aware Weighted Optical Flow with Medium Transmission Map for Learning-based Visual Odometry in Underwater terrainCode0
Spot the Difference: Detection of Topological Changes via Geometric AlignmentCode0
MVF-Net: Multi-View 3D Face Morphable Model RegressionCode0
Descriptor: Face Detection Dataset for Programmable Threshold-Based Sparse-VisionCode0
DenseNet for Dense FlowCode0
ReynoldsFlow: Exquisite Flow Estimation via Reynolds Transport TheoremCode0
FlowNet-PET: Unsupervised Learning to Perform Respiratory Motion Correction in PET ImagingCode0
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep NetworksCode0
Flow-Motion and Depth Network for Monocular Stereo and BeyondCode0
Meta Learning Deep Visual Words for Fast Video Object SegmentationCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and EnhancementCode0
DeMoN: Depth and Motion Network for Learning Monocular StereoCode0
RMES: Real-Time Micro-Expression Spotting Using Phase From Riesz PyramidCode0
Track to Reconstruct and Reconstruct to TrackCode0
Z-upscaling: Optical Flow Guided Frame Interpolation for Isotropic Reconstruction of 3D EM VolumesCode0
Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple MotionsCode0
SSTM: Spatiotemporal Recurrent Transformers for Multi-frame Optical Flow EstimationCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and EnhancementCode0
Unsupervised Tube Extraction Using Transductive Learning and Dense TrajectoriesCode0
Flowing ConvNets for Human Pose Estimation in VideosCode0
MARS: Motion-Augmented RGB Stream for Action RecognitionCode0
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?Code0
Delta Distillation for Efficient Video ProcessingCode0
Robust Interpolation of Correspondences for Large Displacement Optical FlowCode0
Deformable Non-local Network for Video Super-ResolutionCode0
Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on VideoCode0
Attack on Scene Flow using Point CloudsCode0
Co-attention Propagation Network for Zero-Shot Video Object SegmentationCode0
Machine Learning Modeling for Multi-order Human Visual Motion ProcessingCode0
STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven PoolingCode0
LSMVOS: Long-Short-Term Similarity Matching for Video ObjectCode0
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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