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 701–750 of 2184 papers

TitleStatusHype
LightedDepth: Video Depth Estimation in Light of Limited Inference View AnglesCode1
Frame Interpolation Transformer and Uncertainty Guidance—0
Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow EstimationCode1
Learning Optical Expansion From Scale MatchingCode0
SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition—0
MOVES: Manipulated Objects in Video Enable Segmentation—0
Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple MotionsCode0
StepNet: Spatial-temporal Part-aware Network for Isolated Sign Language Recognition—0
Fast Event-based Optical Flow Estimation by Triplet Matching—0
Open-Vocabulary Temporal Action Detection with Off-the-Shelf Image-Text Features—0
CGCV:Context Guided Correlation Volume for Optical Flow Neural Networks—0
ColoristaNet for Photorealistic Video Style Transfer—0
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration—0
Benchmark Dataset and Effective Inter-Frame Alignment for Real-World Video Super-ResolutionCode1
Motion and Context-Aware Audio-Visual Conditioned Video Prediction—0
DroneAttention: Sparse Weighted Temporal Attention for Drone-Camera Based Activity Recognition—0
Neural Cell Video Synthesis via Optical-Flow Diffusion—0
Self-supervised AutoFlow—0
Face Animation with Multiple Source Images—0
Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution VideosCode1
HashEncoding: Autoencoding with Multiscale Coordinate Hashing—0
Learning Dense Object Descriptors from Multiple Views for Low-shot Category GeneralizationCode1
Learning Single Image Defocus Deblurring with Misaligned Training PairsCode1
Motion-Guided Global-Local Aggregation Transformer Network for Precipitation Nowcasting—0
Lightweight Event-based Optical Flow Estimation via Iterative DeblurringCode1
Vision-based localization methods under GPS-denied conditions—0
Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent TransformerCode1
Leveraging Multi-stream Information Fusion for Trajectory Prediction in Low-illumination Scenarios: A Multi-channel Graph Convolutional ApproachCode1
CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical FlowCode2
Boosting Object Representation Learning via Motion and Object ContinuityCode0
Learning Dense and Continuous Optical Flow from an Event CameraCode1
SATVSR: Scenario Adaptive Transformer for Cross Scenarios Video Super-Resolution—0
FlowGrad: Using Motion for Visual Sound Source LocalizationCode0
Forecasting Future Instance Segmentation with Learned Optical Flow and Warping—0
MDFlow: Unsupervised Optical Flow Learning by Reliable Mutual Knowledge DistillationCode1
Progressive Motion Context Refine Network for Efficient Video Frame Interpolation—0
Prior-enhanced Temporal Action Localization using Subject-aware Spatial Attention—0
Efficient Unsupervised Video Object Segmentation Network Based on Motion Guidance—0
Unifying Flow, Stereo and Depth EstimationCode3
SWTF: Sparse Weighted Temporal Fusion for Drone-Based Activity Recognition—0
AnimeRun: 2D Animation Visual Correspondence from Open Source 3D MoviesCode1
Two-stream Multi-dimensional Convolutional Network for Real-time Violence Detection—0
TAP-Vid: A Benchmark for Tracking Any Point in a VideoCode3
A Unified Pyramid Recurrent Network for Video Frame InterpolationCode1
Hear The Flow: Optical Flow-Based Self-Supervised Visual Sound Source LocalizationCode1
Hardware/Software co-design with ADC-Less In-memory Computing Hardware for Spiking Neural Networks—0
Detection of (Hidden) Emotions from Videos using Muscles Movements and Face Manifold Embedding—0
High Resolution Multi-Scale RAFT (Robust Vision Challenge 2022)Code1
Exploring Spatial-Temporal Features for Deepfake Detection and LocalizationCode1
Bootstrapping Human Optical Flow and PoseCode1
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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