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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 851–900 of 2184 papers

TitleStatusHype
GC-ConsFlow: Leveraging Optical Flow Residuals and Global Context for Robust Deepfake Detection—0
GelFlow: Self-supervised Learning of Optical Flow for Vision-Based Tactile Sensor Displacement Measurement—0
Deep Motion Prior for Weakly-Supervised Temporal Action Localization—0
A Video-Based Method for Objectively Rating Ataxia—0
Generalized Video Deblurring for Dynamic Scenes—0
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation—0
Generating, Fast and Slow: Scalable Parallel Video Generation with Video Interface Networks—0
Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models—0
A Survey on Backbones for Deep Video Action Recognition—0
Exploring Self-Attention for Visual Odometry—0
Deep Neural Networks in Video Human Action Recognition: A Review—0
GeoRefine: Self-Supervised Online Depth Refinement for Accurate Dense Mapping—0
Aggregation of local parametric candidates with exemplar-based occlusion handling for optical flow—0
Image-based monitoring of bolt loosening through deep-learning-based integrated detection and tracking—0
GFlow: Recovering 4D World from Monocular Video—0
GG-SSMs: Graph-Generating State Space Models—0
Exploring Optical Flow Inclusion into nnU-Net Framework for Surgical Instrument Segmentation—0
Exploring Optical-Flow-Guided Motion and Detection-Based Appearance for Temporal Sentence Grounding—0
Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation—0
Global Motion Understanding in Large-Scale Video Object Segmentation—0
Exploring More from Multiple Gait Modalities for Human Identification—0
GloFlow: Global Image Alignment for Creation of Whole Slide Images for Pathology from Video—0
CoT-AMFlow: Adaptive Modulation Network with Co-Teaching Strategy for Unsupervised Optical Flow Estimation—0
A Survey of Representation Learning, Optimization Strategies, and Applications for Omnidirectional Vision—0
Exploring Human Crowd Patterns and Categorization in Video Footage for Enhanced Security and Surveillance using Computer Vision and Machine Learning—0
KOI: Accelerating Online Imitation Learning via Hybrid Key-state Guidance—0
Google Map Aided Visual Navigation for UAVs in GPS-denied Environment—0
CoSEC: A Coaxial Stereo Event Camera Dataset for Autonomous Driving—0
Accurate Optical Flow via Direct Cost Volume Processing—0
GPU Accelerated Color Correction and Frame Warping for Real-time Video Stitching—0
IF-TTN: Information Fused Temporal Transformation Network for Video Action Recognition—0
Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision—0
Illumination-invariant image mosaic calculation based on logarithmic search—0
Group Activity Recognition by Using Effective Multiple Modality Relation Representation With Temporal-Spatial Attention—0
Group Activity Recognition using Unreliable Tracked Pose—0
Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction—0
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion—0
Guidance system for Visually Impaired Persons using Deep Learning and Optical flow—0
Exploiting Semantic Information and Deep Matching for Optical Flow—0
A spectral optical flow method for determining velocities from digital imagery—0
GyroFlow+: Gyroscope-Guided Unsupervised Deep Homography and Optical Flow Learning—0
HairFIT: Pose-Invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-Region-Aware Inpainting—0
Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition with CNNs—0
Hallucinating Dense Optical Flow from Sparse Lidar for Autonomous Vehicles—0
Exploiting Inter-Frame Regional Correlation for Efficient Action Recognition—0
Exploiting Inductive Biases in Video Modeling through Neural CDEs—0
Handcrafted Local Features are Convolutional Neural Networks—0
Handcrafted localized phase features for human action recognition—0
Convective regularization for optical flow—0
A Framework for Real-Time Face and Facial Feature Tracking using Optical Flow Pre-estimation and Template Tracking—0
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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