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 13011350 of 2184 papers

TitleStatusHype
Secrets of Edge-Informed Contrast Maximization for Event-Based Vision0
Real-time high speed motion prediction using fast aperture-robust event-driven visual flow0
SegCodeNet: Color-Coded Segmentation Masks for Activity Detection from Wearable Cameras0
Segment Any Motion in Videos0
Segmentation-aware Deformable Part Models0
Segment Graph Based Image Filtering: Fast Structure-Preserving Smoothing0
Self-Aligned Concave Curve: Illumination Enhancement for Unsupervised Adaptation0
Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications0
Selfie Video Stabilization0
SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition0
Self-Supervised Approach for Facial Movement Based Optical Flow0
Self-supervised AutoFlow0
Self-Supervised Interactive Object Segmentation Through a Singulation-and-Grasping Approach0
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks0
Self-supervised Learning of Occlusion Aware Flow Guided 3D Geometry Perception with Adaptive Cross Weighted Loss from Monocular Videos0
Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera0
Self-Supervised Motion Magnification by Backpropagating Through Optical Flow0
Self-supervised Motion Representation via Scattering Local Motion Cues0
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions0
Self-supervised Object Motion and Depth Estimation from Video0
Self-Supervised Real-time Video Stabilization0
Self-Supervised Regional and Temporal Auxiliary Tasks for Facial Action Unit Recognition0
Self-Supervised Representation Learning for Visual Anomaly Detection0
Self-Supervised training for blind multi-frame video denoising0
Self-supervised Video Object Segmentation by Motion Grouping0
Semantic Adversarial Network with Multi-scale Pyramid Attention for Video Classification0
Semantically Consistent Video Inpainting with Conditional Diffusion Models0
Semantically Video Coding: Instill Static-Dynamic Clues into Structured Bitstream for AI Tasks0
Semantic Flow-guided Motion Removal Method for Robust Mapping0
Semantic Video Segmentation by Gated Recurrent Flow Propagation0
Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks0
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation0
SfM-Net: Learning of Structure and Motion from Video0
Shape and Texture: What Influences Reliable Optical Flow Estimation?0
SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learning0
Short-term prediction of localized cloud motion using ground-based sky imagers0
Signal Alignment for Humanoid Skeletons via the Globally Optimal Reparameterization Algorithm0
Sign Language Video Anonymization0
SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning0
Sim2real transfer learning for 3D human pose estimation: motion to the rescue0
Simulation of optical flow and fuzzy based obstacle avoidance system for mobile robots0
SimulFlow: Simultaneously Extracting Feature and Identifying Target for Unsupervised Video Object Segmentation0
Simultaneous 3D Reconstruction for Water Surface and Underwater Scene0
Simultaneous Optical Flow and Intensity Estimation From an Event Camera0
Simultaneous Optical Flow and Segmentation (SOFAS) using Dynamic Vision Sensor0
Single-frame Regularization for Temporally Stable CNNs0
Single Image Action Recognition by Predicting Space-Time Saliency0
Single Image Optical Flow Estimation with an Event Camera0
Sistema de Navegação Autônomo Baseado em Visão Computacional0
Skeleton-based Relational Reasoning for Group Activity Analysis0
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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