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

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Showing 501–550 of 2184 papers

TitleStatusHype
IBVC: Interpolation-driven B-frame Video CompressionCode0
Solving Low-Dose CT Reconstruction via GAN with Local Coherence—0
Motion Segmentation from a Moving Monocular Camera—0
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic SegmentationCode0
Conformalized Multimodal Uncertainty Regression and Reasoning—0
Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event CameraCode1
Privacy-preserving Early Detection of Epileptic Seizures in VideosCode0
Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes—0
MPI-Flow: Learning Realistic Optical Flow with Multiplane ImagesCode1
GelFlow: Self-supervised Learning of Optical Flow for Vision-Based Tactile Sensor Displacement Measurement—0
Robot Localization and Mapping Final Report -- Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry—0
Joint Self-supervised Depth and Optical Flow Estimation towards Dynamic Objects—0
Dynamic Frame Interpolation in Wavelet DomainCode1
ProPainter: Improving Propagation and Transformer for Video InpaintingCode5
ATM: Action Temporality Modeling for Video Question Answering—0
Exploring Attention Mechanisms in Integration of Multi-Modal Information for Sign Language Recognition and Translation—0
StereoFlowGAN: Co-training for Stereo and Flow with Unsupervised Domain Adaptation—0
Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal EchocardiographyCode0
STint: Self-supervised Temporal Interpolation for Geospatial Data—0
Deep Video Codec Control for Vision Models—0
Flexible Techniques for Differentiable Rendering with 3D Gaussians—0
VideoCutLER: Surprisingly Simple Unsupervised Video Instance SegmentationCode3
Exploring Human Crowd Patterns and Categorization in Video Footage for Enhanced Security and Surveillance using Computer Vision and Machine Learning—0
AccFlow: Backward Accumulation for Long-Range Optical FlowCode1
NOVA: NOvel View Augmentation for Neural Composition of Dynamic ObjectsCode0
Hybrid Models for Facial Emotion Recognition in Children—0
LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video ReconstructionCode1
MGMAE: Motion Guided Masking for Video Masked AutoencodingCode1
ResQ: Residual Quantization for Video Perception—0
GPU Accelerated Color Correction and Frame Warping for Real-time Video Stitching—0
Improving Audio-Visual Segmentation with Bidirectional GenerationCode0
FLAME-based Multi-View 3D Face Reconstruction—0
FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous DrivingCode1
FOLT: Fast Multiple Object Tracking from UAV-captured Videos Based on Optical Flow—0
The Devil in the Details: Simple and Effective Optical Flow Synthetic Data Generation—0
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost VolumeCode1
The Color Clifford Hardy Signal: Application to Color Edge Detection and Optical Flow—0
Versatile Face Animator: Driving Arbitrary 3D Facial Avatar in RGBD SpaceCode1
StableVQA: A Deep No-Reference Quality Assessment Model for Video StabilityCode1
ES-MVSNet: Efficient Framework for End-to-end Self-supervised Multi-View Stereo—0
MVFlow: Deep Optical Flow Estimation of Compressed Videos with Motion Vector Prior—0
A Hybrid Approach To Real-Time Multi-Object Tracking—0
SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model—0
Freespace Optical Flow Modeling for Automated Driving—0
A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos—0
BubbleML: A Multi-Physics Dataset and Benchmarks for Machine LearningCode1
Optical Flow boosts Unsupervised Localization and SegmentationCode1
Automatic Infant Respiration Estimation from Video: A Deep Flow-based Algorithm and a Novel Public BenchmarkCode1
Revisiting Event-based Video Frame Interpolation—0
Fast Full-frame Video Stabilization with Iterative OptimizationCode1
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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
4LiteFlowNet-ftAverage End-Point Error5.38—Unverified
5MR-FlowAverage 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
2IRR-PWCAverage End-Point Error1.6—Unverified
3LiteFlowNet-ftAverage End-Point Error1.6—Unverified
4PWC-Net + ft - axXivAverage End-Point Error1.5—Unverified
5FDFlowNet-ftAverage End-Point Error1.5—Unverified
6SelFlowAverage End-Point Error1.5—Unverified
7LiteFlowNet2-ftAverage End-Point Error1.4—Unverified
8LiteFlowNet3Average End-Point Error1.3—Unverified
9LiteFlowNet3-SAverage End-Point Error1.3—Unverified
10MaskFlownet-SAverage 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