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 501550 of 2184 papers

TitleStatusHype
Occlusion Guided Scene Flow Estimation on 3D Point CloudsCode0
A Database and Evaluation Methodology for Optical FlowCode0
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow EstimationCode0
Online Unsupervised Video Object Segmentation via Contrastive Motion ClusteringCode0
Descriptor: Face Detection Dataset for Programmable Threshold-Based Sparse-VisionCode0
Object segmentation from common fate: Motion energy processing enables human-like zero-shot generalization to random dot stimuliCode0
Anchor Diffusion for Unsupervised Video Object SegmentationCode0
NOVA: NOvel View Augmentation for Neural Composition of Dynamic ObjectsCode0
MVF-Net: Multi-View 3D Face Morphable Model RegressionCode0
An Analysis of Parallelized Motion Masking Using Dual-Mode Single Gaussian ModelsCode0
Multiview Contrastive Learning for Completely Blind Video Quality Assessment of User Generated ContentCode0
Multiview Supervision By RegistrationCode0
DenseNet for Dense FlowCode0
Multimodal Generation of Novel Action Appearances for Synthetic-to-Real Recognition of Activities of Daily LivingCode0
Multimodal Fusion SLAM with Fourier AttentionCode0
Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal EchocardiographyCode0
Beyond Short Snippets: Deep Networks for Video ClassificationCode0
Multigrid Predictive Filter Flow for Unsupervised Learning on VideosCode0
Multimodal Deep Models for Predicting Affective Responses Evoked by MoviesCode0
DeMoN: Depth and Motion Network for Learning Monocular StereoCode0
Delta Distillation for Efficient Video ProcessingCode0
Motor Focus: Fast Ego-Motion Prediction for Assistive Visual NavigationCode0
Motion Transfer-Driven intra-class data augmentation for Finger Vein RecognitionCode0
Deformable Non-local Network for Video Super-ResolutionCode0
MSTCGAN: Multiscale time conditional generative adversarial network for long-term satellite image sequence predictionCode0
Benchmarking the Robustness of Optical Flow Estimation to CorruptionsCode0
Motion Graph Unleashed: A Novel Approach to Video PredictionCode0
Deep Video InpaintingCode0
Deep Video Frame Interpolation using Cyclic Frame GenerationCode0
Bayesian Optical Flow with Uncertainty QuantificationCode0
Motion Guided Attention for Video Salient Object DetectionCode0
Pose And Joint-Aware Action RecognitionCode0
BatMobility: Towards Flying Without Seeing for Autonomous DronesCode0
DeepV2D: Video to Depth with Differentiable Structure from MotionCode0
MOTChallenge 2015: Towards a Benchmark for Multi-Target TrackingCode0
BAT: Learning Event-based Optical Flow with Bidirectional Adaptive Temporal CorrelationCode0
Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow EstimationCode0
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
Motion-aware Memory Network for Fast Video Salient Object DetectionCode0
Deep Segmentation and Registration in X-Ray Angiography VideoCode0
MicroBundlePillarTrack: A Python package for automated segmentation, tracking, and analysis of pillar deflection in cardiac microbundlesCode0
MIMAMO Net: Integrating Micro- and Macro-motion for Video Emotion RecognitionCode0
Motion Compensated Dynamic MRI Reconstruction with Local Affine Optical Flow EstimationCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and EnhancementCode0
Deep multi-scale video prediction beyond mean square errorCode0
AMNCutter: Affinity-Attention-Guided Multi-View Normalized Cutter for Unsupervised Surgical Instrument SegmentationCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and EnhancementCode0
Deep motion estimation for parallel inter-frame prediction in video compressionCode0
Action Recognition with Dynamic Image NetworksCode0
DeepMatching: Hierarchical Deformable Dense MatchingCode0
Show:102550
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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