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 301–350 of 2184 papers

TitleStatusHype
CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow EstimationCode1
FabricFlowNet: Bimanual Cloth Manipulation with a Flow-based PolicyCode1
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity TrackingCode1
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic SegmentationCode1
UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place SolutionCode1
IVS3D: An Open Source Framework for Intelligent Video Sampling and Preprocessing to Facilitate 3D ReconstructionCode1
DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-ReflectorsCode1
Optical Flow Estimation for Spiking CameraCode1
Sensor-Guided Optical FlowCode1
Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table TennisCode1
Efficient Global-Local Memory for Real-time Instrument Segmentation of Robotic Surgical VideoCode1
PDC-Net+: Enhanced Probabilistic Dense Correspondence NetworkCode1
Towards Robust Monocular Visual Odometry for Flying Robots on Planetary MissionsCode1
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow EstimationCode1
Learning to Track Objects from Unlabeled VideosCode1
E-RAFT: Dense Optical Flow from Event CamerasCode1
Out-of-boundary View Synthesis Towards Full-Frame Video StabilizationCode1
Learning RAW-to-sRGB Mappings with Inaccurately Aligned SupervisionCode1
Diffeomorphic Particle Image VelocimetryCode1
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame PredictionCode1
EventHPE: Event-based 3D Human Pose and Shape EstimationCode1
Video Abnormal Event Detection by Learning to Complete Visual Cloze TestsCode1
Internal Video Inpainting by Implicit Long-range PropagationCode1
Wavelet-Based Network For High Dynamic Range ImagingCode1
Perceiver IO: A General Architecture for Structured Inputs & OutputsCode1
Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action DetectionCode1
CCVS: Context-aware Controllable Video SynthesisCode1
End-to-end Multi-modal Video Temporal GroundingCode1
RGB Stream Is Enough for Temporal Action DetectionCode1
Plot2Spectra: an Automatic Spectra Extraction ToolCode1
Self-Aligned Video Deraining With Transmission-Depth ConsistencyCode1
Time Lens: Event-Based Video Frame InterpolationCode1
Reciprocal Transformations for Unsupervised Video Object SegmentationCode1
Learning Temporal Consistency for Low Light Video Enhancement From Single ImagesCode1
Self-supervised Video Representation Learning with Cross-Stream Prototypical ContrastingCode1
FastAno: Fast Anomaly Detection via Spatio-temporal Patch TransformationCode1
TimeLens: Event-based Video Frame InterpolationCode1
Video Super-Resolution TransformerCode1
Shallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression Spotting from Long VideosCode1
Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from VideoCode1
NViSII: A Scriptable Tool for Photorealistic Image GenerationCode1
End-to-End Video Object Detection with Spatial-Temporal TransformersCode1
Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the WildCode1
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image WarpingCode1
AutoFlow: Learning a Better Training Set for Optical FlowCode1
High-Resolution Optical Flow from 1D Attention and CorrelationCode1
Deep Video Matting via Spatio-Temporal Alignment and AggregationCode1
Flow-based Video Segmentation for Human Head and ShouldersCode1
Comparing Correspondences: Video Prediction with Correspondence-wise LossesCode1
Motion Vector Extrapolation for Video Object DetectionCode1
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All datasetsSintel-cleanSintel-finalKITTI 2015 (train)KITTI 2015KITTI 2012SpringSintel Clean unsupervisedSintel Final unsupervisedKITTI 2015 unsupervisedKITTI 2012 unsupervised

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