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 1101–1150 of 2184 papers

TitleStatusHype
Two-Stream Consensus Network: Submission to HACS Challenge 2021 Weakly-Supervised Learning Track—0
Reciprocal Transformations for Unsupervised Video Object SegmentationCode1
Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy—0
Feature-Level Collaboration: Joint Unsupervised Learning of Optical Flow, Stereo Depth and Camera Motion—0
Self-Aligned Video Deraining With Transmission-Depth ConsistencyCode1
Time Lens: Event-Based Video Frame InterpolationCode1
Learning Temporal Consistency for Low Light Video Enhancement From Single ImagesCode1
Hidden Patch Attacks for Optical Flow—0
Self-supervised Video Representation Learning with Cross-Stream Prototypical ContrastingCode1
FastAno: Fast Anomaly Detection via Spatio-temporal Patch TransformationCode1
TimeLens: Event-based Video Frame InterpolationCode1
Video Super-Resolution TransformerCode1
Shallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression Spotting from Long VideosCode1
Spot the Difference: Detection of Topological Changes via Geometric AlignmentCode0
Neural UpFlow: A Scene Flow Learning Approach to Increase the Apparent Resolution of Particle-Based Liquids—0
Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation—0
Self-Supervised Learning of Event-Based Optical Flow with Spiking Neural Networks—0
Unsupervised Joint Learning of Depth, Optical Flow, Ego-motion from VideoCode1
An Unsupervised Optical Flow Estimation For LiDAR Image Sequences—0
NViSII: A Scriptable Tool for Photorealistic Image GenerationCode1
Connect the Dots: In Situ 4D Seismic Monitoring of CO2 Storage with Spatio-temporal CNNs—0
Autonomous Driving Implementation in an Experimental EnvironmentCode0
End-to-End Video Object Detection with Spatial-Temporal TransformersCode1
DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry—0
A Fine-Grained Visual Attention Approach for Fingerspelling Recognition in the Wild—0
Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the WildCode1
Confidence-guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection—0
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image WarpingCode1
3D-CNN for Facial Micro- and Macro-expression Spotting on Long Video Sequences using Temporal Oriented Reference Frame—0
FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution—0
Video Frame Interpolation via Structure-Motion based Iterative Fusion—0
Video Anomaly Detection By The Duality Of Normality-Granted Optical Flow—0
Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention—0
PCA Event-Based Optical Flow for Visual Odometry—0
FDNet: A Deep Learning Approach with Two Parallel Cross Encoding Pathways for Precipitation Nowcasting—0
Self-Supervised Approach for Facial Movement Based Optical Flow—0
Motion-Augmented Self-Training for Video Recognition at Smaller Scale—0
Anomaly Detection with Prototype-Guided Discriminative Latent Embeddings—0
AutoFlow: Learning a Better Training Set for Optical FlowCode1
High-Resolution Optical Flow from 1D Attention and CorrelationCode1
Deep Video Matting via Spatio-Temporal Alignment and AggregationCode1
Learning Semantic-Aware Dynamics for Video Prediction—0
Flow-based Video Segmentation for Human Head and ShouldersCode1
Comparing Correspondences: Video Prediction with Correspondence-wise LossesCode1
Learning Interpretable End-to-End Vision-Based Motion Planning for Autonomous Driving with Optical Flow Distillation—0
End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving—0
Motion Vector Extrapolation for Video Object DetectionCode1
Visually Guided Sound Source Separation and Localization using Self-Supervised Motion Representations—0
OmniFlow: Human Omnidirectional Optical Flow—0
Self-supervised Video Object Segmentation by Motion Grouping—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