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 401–450 of 2184 papers

TitleStatusHype
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical FlowCode1
PAN: Towards Fast Action Recognition via Learning Persistence of AppearanceCode1
Deep Equilibrium Optical Flow EstimationCode1
Automatic Infant Respiration Estimation from Video: A Deep Flow-based Algorithm and a Novel Public BenchmarkCode1
PDC-Net+: Enhanced Probabilistic Dense Correspondence NetworkCode1
Perceiver IO: A General Architecture for Structured Inputs & OutputsCode1
A Lightweight Recurrent Aggregation Network for Satellite Video Super-ResolutionCode1
Princeton365: A Diverse Dataset with Accurate Camera PoseCode1
E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action RecognitionCode1
Edge-guided Multi-domain RGB-to-TIR image Translation for Training Vision Tasks with Challenging LabelsCode1
Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance SystemsCode1
RAFT-3D: Scene Flow using Rigid-Motion EmbeddingsCode1
DTVNet: Dynamic Time-lapse Video Generation via Single Still ImageCode1
DS-Net: Dynamic Spatiotemporal Network for Video Salient Object DetectionCode1
Deep Learning for Event-based Vision: A Comprehensive Survey and BenchmarksCode1
DVC: An End-to-end Deep Video Compression FrameworkCode1
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost VolumeCode1
Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly DetectionCode1
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic SegmentationCode1
Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration NetworkCode1
Motion-Boundary-Driven Unsupervised Surgical Instrument Segmentation in Low-Quality Optical FlowCode1
DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-ReflectorsCode1
RGB Stream Is Enough for Temporal Action DetectionCode1
RGM: A Robust Generalizable Matching ModelCode1
Robust Ego and Object 6-DoF Motion Estimation and TrackingCode1
Robust Reference-Based Super-Resolution With Similarity-Aware Deformable ConvolutionCode1
BubbleML: A Multi-Physics Dataset and Benchmarks for Machine LearningCode1
Rolling-Unrolling LSTMs for Action Anticipation from First-Person VideoCode1
Deep Multi-view Depth Estimation with Predicted UncertaintyCode1
SAFNet: Selective Alignment Fusion Network for Efficient HDR ImagingCode1
Event-Free Moving Object Segmentation from Moving Ego VehicleCode1
DIP: Deep Inverse Patchmatch for High-Resolution Optical FlowCode1
Dynamic Frame Interpolation in Wavelet DomainCode1
BSRT: Improving Burst Super-Resolution with Swin Transformer and Flow-Guided Deformable AlignmentCode1
Deep Rotation Correction without Angle PriorCode1
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression TasksCode1
Deep Slow Motion Video Reconstruction with Hybrid Imaging SystemCode1
Self-Assessed Generation: Trustworthy Label Generation for Optical Flow and Stereo Matching in Real-worldCode1
Self-Supervised Learning of Audio-Visual Objects from VideoCode1
Self-Supervised Linear Motion DeblurringCode1
Self-supervised Video Representation Learning with Cross-Stream Prototypical ContrastingCode1
Semantic Flow for Fast and Accurate Scene ParsingCode1
Sensor-Guided Optical FlowCode1
Deep Two-View Structure-from-Motion RevisitedCode1
SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic PerceptionCode1
SF2SE3: Clustering Scene Flow into SE(3)-Motions via Proposal and SelectionCode1
Broaden Your Views for Self-Supervised Video LearningCode1
A New Dataset and Transformer for Stereoscopic Video Super-ResolutionCode1
Deep Video Matting via Spatio-Temporal Alignment and AggregationCode1
Bringing Rolling Shutter Images Alive with Dual Reversed DistortionCode1
Show:102550
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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