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 351400 of 2184 papers

TitleStatusHype
Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional ApproachCode1
Lightweight Event-based Optical Flow Estimation via Iterative DeblurringCode1
CRAFT: Cross-Attentional Flow Transformer for Robust Optical FlowCode1
Creating Artificial Modalities to Solve RGB LivenessCode1
A Simple Baseline for Video Restoration with Grouped Spatial-temporal ShiftCode1
Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference ModelingCode1
Deep Slow Motion Video Reconstruction with Hybrid Imaging SystemCode1
FeatureFlow: Robust Video Interpolation via Structure-to-Texture GenerationCode1
Deep Two-View Structure-from-Motion RevisitedCode1
Learning to Estimate and Refine Fluid Motion with Physical DynamicsCode1
Oflib: Facilitating Operations with and on Optical Flow Fields in PythonCode1
Online Dense Point Tracking with Streaming MemoryCode1
AnimeRun: 2D Animation Visual Correspondence from Open Source 3D MoviesCode1
FLAVR: Flow-Agnostic Video Representations for Fast Frame InterpolationCode1
CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow EstimationCode1
CSFlow: Learning Optical Flow via Cross Strip Correlation for Autonomous DrivingCode1
Deep Rotation Correction without Angle PriorCode1
Learning to Estimate Hidden Motions with Global Motion AggregationCode1
Flow-Guided Sparse Transformer for Video DeblurringCode1
Optical Flow Training under Limited Label Budget via Active LearningCode1
Deep Multi-view Depth Estimation with Predicted UncertaintyCode1
Animation from Blur: Multi-modal Blur Decomposition with Motion GuidanceCode1
Attention-guided Network for Ghost-free High Dynamic Range ImagingCode1
FlowNAS: Neural Architecture Search for Optical Flow EstimationCode1
Unified Domain Adaptive Semantic SegmentationCode1
Learning Temporal Consistency for Low Light Video Enhancement From Single ImagesCode1
FlowNet: Learning Optical Flow with Convolutional NetworksCode1
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical FlowCode1
DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-ReflectorsCode1
FlowReg: Fast Deformable Unsupervised Medical Image Registration using Optical FlowCode1
FlowText: Synthesizing Realistic Scene Text Video with Optical Flow EstimationCode1
FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous DrivingCode1
Deep Online Fused Video StabilizationCode1
Learning Temporally and Semantically Consistent Unpaired Video-to-video Translation Through Pseudo-Supervision From Synthetic Optical FlowCode1
D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion PredictionCode1
A Unified Pyramid Recurrent Network for Video Frame InterpolationCode1
Learning Optical Flow with Adaptive Graph ReasoningCode1
Learning optical flow from still imagesCode1
Decoupling Dynamic Monocular Videos for Dynamic View SynthesisCode1
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost VolumeCode1
Deep Learning for Event-based Vision: A Comprehensive Survey and BenchmarksCode1
GlobalFlowNet: Video Stabilization using Deep Distilled Global Motion EstimatesCode1
Deep Animation Video Interpolation in the WildCode1
Global Matching with Overlapping Attention for Optical Flow EstimationCode1
Learning Optical Flow With Kernel Patch AttentionCode1
Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration NetworkCode1
A Large Scale Event-based Detection Dataset for AutomotiveCode1
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural NetworkCode1
Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion ModelsCode1
BubbleML: A Multi-Physics Dataset and Benchmarks for Machine LearningCode1
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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