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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1851–1900 of 2184 papers

TitleStatusHype
Robustness Guarantees for Deep Neural Networks on Videos—0
Robustness Meets Deep Learning: An End-to-End Hybrid Pipeline for Unsupervised Learning of Egomotion—0
Robust Optical Flow Computation: A Higher-Order Differential Approach—0
Robust Optical Flow Estimation in Rainy Scenes—0
Robust Optical Flow Estimation of Double-Layer Images under Transparency or Reflection—0
Robust Optical Flow in Rainy Scenes—0
RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo—0
Robust Two-Stream Multi-Feature Network for Driver Drowsiness Detection—0
Robust Video Stabilization by Optimization in CNN Weight Space—0
Learning Generalized Visual Odometry Using Position-Aware Optical Flow and Geometric Bundle Adjustment—0
Rolling-Shutter-Aware Differential SfM and Image Rectification—0
RoMo: Robust Motion Segmentation Improves Structure from Motion—0
RoPECraft: Training-Free Motion Transfer with Trajectory-Guided RoPE Optimization on Diffusion Transformers—0
RST-MODNet: Real-time Spatio-temporal Moving Object Detection for Autonomous Driving—0
S2DM: Sector-Shaped Diffusion Models for Video Generation—0
S2F: Slow-To-Fast Interpolator Flow—0
S^3Track: Self-supervised Tracking with Soft Assignment Flow—0
Saliency-guided video classification via adaptively weighted learning—0
Saliency-Motion Guided Trunk-Collateral Network for Unsupervised Video Object Segmentation—0
Salient Sparse Visual Odometry With Pose-Only Supervision—0
SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model—0
SATVSR: Scenario Adaptive Transformer for Cross Scenarios Video Super-Resolution—0
Motor Focus: Fast Ego-Motion Prediction for Assistive Visual NavigationCode0
Recurrent Flow-Guided Semantic ForecastingCode0
DGC-Net: Dense Geometric Correspondence NetworkCode0
Hallucinating Optical Flow Features for Video ClassificationCode0
MSTCGAN: Multiscale time conditional generative adversarial network for long-term satellite image sequence predictionCode0
Motion Transfer-Driven intra-class data augmentation for Finger Vein RecognitionCode0
Motion Segmentation for Neuromorphic Aerial SurveillanceCode0
GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation LearningCode0
Spatio-temporal video autoencoder with differentiable memoryCode0
Multigrid Predictive Filter Flow for Unsupervised Learning on VideosCode0
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task ConsistencyCode0
Motion Guided Attention for Video Salient Object DetectionCode0
Complementing Brightness Constancy with Deep Networks for Optical Flow PredictionCode0
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera PoseCode0
GeoFlow-SLAM: A Robust Tightly-Coupled RGBD-Inertial Fusion SLAM for Dynamic Legged RoboticsCode0
Multimodal Deep Models for Predicting Affective Responses Evoked by MoviesCode0
Motion Graph Unleashed: A Novel Approach to Video PredictionCode0
Motion Compensated Dynamic MRI Reconstruction with Local Affine Optical Flow EstimationCode0
Towards Segmenting Anything That MovesCode0
DFlow: Learning to Synthesize Better Optical Flow Datasets via a Differentiable PipelineCode0
Representation Flow for Action RecognitionCode0
Multimodal Fusion SLAM with Fourier AttentionCode0
Multimodal Generation of Novel Action Appearances for Synthetic-to-Real Recognition of Activities of Daily LivingCode0
Video Generation from Single Semantic Label MapCode0
Detection Defenses: An Empty Promise against Adversarial Patch Attacks on Optical FlowCode0
Unsupervised Moving Object Detection via Contextual Information SeparationCode0
Tracking Emerges by Colorizing VideosCode0
Motion-aware Memory Network for Fast Video Salient Object DetectionCode0
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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