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 13511400 of 2184 papers

TitleStatusHype
Creating Artificial Modalities to Solve RGB LivenessCode1
Road obstacles positional and dynamic features extraction combining object detection, stereo disparity maps and optical flow data0
Movement Tracking by Optical Flow Assisted Inertial Navigation0
FDFlowNet: Fast Optical Flow Estimation using a Deep Lightweight Network0
ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching0
Motion Representation Using Residual Frames with 3D CNNCode1
Pseudo-LiDAR Point Cloud Interpolation Based on 3D Motion Representation and Spatial Supervision0
Video Semantic Segmentation with Distortion-Aware Feature CorrectionCode1
Self-Supervised Representation Learning for Visual Anomaly Detection0
End-to-End Real-time Catheter Segmentation with Optical Flow-Guided Warping during Endovascular Intervention0
Multiple Video Frame Interpolation via Enhanced Deformable Separable ConvolutionCode1
Fall Detector Adapted to Nursing Home Needs through an Optical-Flow based CNN0
What Matters in Unsupervised Optical FlowCode1
End-to-end Learning for Inter-Vehicle Distance and Relative Velocity Estimation in ADAS with a Monocular CameraCode1
Learning Nanoscale Motion Patterns of Vesicles in Living Cells0
TDAN: Temporally-Deformable Alignment Network for Video Super-ResolutionCode1
Optical Flow in the Dark0
Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training0
An End-to-End Edge Aggregation Network for Moving Object Segmentation0
Learning Video Stabilization Using Optical Flow0
Learning Fused Pixel and Feature-Based View Reconstructions for Light Fields0
Upgrading Optical Flow to 3D Scene Flow Through Optical ExpansionCode1
Scale-Space Flow for End-to-End Optimized Video Compression0
FeatureFlow: Robust Video Interpolation via Structure-to-Texture GenerationCode1
Robust Reference-Based Super-Resolution With Similarity-Aware Deformable ConvolutionCode1
High-quality Panorama Stitching based on Asymmetric Bidirectional Optical FlowCode1
3D human pose estimation with adaptive receptive fields and dilated temporal convolutions0
MVStylizer: An Efficient Edge-Assisted Video Photorealistic Style Transfer System for Mobile Phones0
Spoof Face Detection Via Semi-Supervised Adversarial Training0
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation0
Self-supervised Transfer Learning for Instance Segmentation through Physical InteractionCode0
Analytic Signal Phase in N-D by Linear Symmetry Tensor--fingerprint modeling0
Mean Oriented Riesz Features for Micro Expression Classification0
Exploiting Inter-Frame Regional Correlation for Efficient Action Recognition0
Rolling-Unrolling LSTMs for Action Anticipation from First-Person VideoCode1
Ego-motion and Surrounding Vehicle State Estimation Using a Monocular Camera0
Video Frame Interpolation via Residue RefinementCode1
Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction0
Fast Convex Relaxations using Graph Discretizations0
IPN Hand: A Video Dataset and Benchmark for Real-Time Continuous Hand Gesture RecognitionCode1
LSM: Learning Subspace Minimization for Low-level Vision0
How Do Neural Networks Estimate Optical Flow? A Neuropsychology-Inspired Study0
Music Gesture for Visual Sound Separation0
End-to-End Learning for Video Frame Compression with Self-Attention0
Motion and Region Aware Adversarial Learning for Fall Detection with Thermal ImagingCode1
Self-Supervised training for blind multi-frame video denoising0
Visual Descriptor Learning from Monocular Video0
A Transductive Approach for Video Object SegmentationCode1
Self-Supervised Monocular Scene Flow EstimationCode1
Optical Flow Estimation in the Deep Learning Age0
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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
4LiteFlowNet-ftAverage End-Point Error5.38Unverified
5MR-FlowAverage 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
2IRR-PWCAverage End-Point Error1.6Unverified
3LiteFlowNet-ftAverage End-Point Error1.6Unverified
4PWC-Net + ft - axXivAverage End-Point Error1.5Unverified
5FDFlowNet-ftAverage End-Point Error1.5Unverified
6SelFlowAverage End-Point Error1.5Unverified
7LiteFlowNet2-ftAverage End-Point Error1.4Unverified
8LiteFlowNet3Average End-Point Error1.3Unverified
9LiteFlowNet3-SAverage End-Point Error1.3Unverified
10MaskFlownet-SAverage 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