SOTAVerified

Scene Flow Estimation

Optical flow is a two-dimensional motion field in the image plane. It is the projection of the three-dimensional motion of the world. If the world is completely non-rigid, the motions of the points in the scene may all be indepen- dent of each other. One representation of the scene motion is therefore a dense three-dimensional vector field defined for every point on every surface in the scene. By analogy with optical flow, we refer to this three-dimensional motion field as scene flow.

Source: Vedula, Sundar, et al. "Three-dimensional scene flow." IEEE transactions on pattern analysis and machine intelligence 27.3 (2005): 475-480. pdf

Papers

Showing 5175 of 152 papers

TitleStatusHype
AANet: Adaptive Aggregation Network for Efficient Stereo MatchingCode1
ZeroFlow: Scalable Scene Flow via DistillationCode1
PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow EstimationCode1
Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal SupervisionCode1
ScaleFlow++: Robust and Accurate Estimation of 3D Motion from VideoCode1
Accurate Point Cloud Registration with Robust Optimal TransportCode1
Self-Supervised Monocular Scene Flow EstimationCode1
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point CloudsCode1
Unleash the Potential of 3D Point Cloud Modeling with A Calibrated Local Geometry-driven Distance MetricCode1
DiffSF: Diffusion Models for Scene Flow EstimationCode1
CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow EstimationCode1
Learning to Segment Rigid Motions from Two FramesCode1
Dual Task Learning by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect MatchesCode1
Joint Stereo Video Deblurring, Scene Flow Estimation and Moving Object Segmentation0
Bounding Boxes, Segmentations and Object Coordinates: How Important Is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?0
Do not trust the neighbors! Adversarial Metric Learning for Self-Supervised Scene Flow Estimation0
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference0
HiMo: High-Speed Objects Motion Compensation in Point Clouds0
Hierarchical Attention Learning of Scene Flow in 3D Point Clouds0
DetFlowTrack: 3D Multi-object Tracking based on Simultaneous Optimization of Object Detection and Scene Flow Estimation0
Floxels: Fast Unsupervised Voxel Based Scene Flow Estimation0
Dense Scene Flow from Stereo Disparity and Optical Flow0
BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Events0
FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation0
FlowMOT: 3D Multi-Object Tracking by Scene Flow Association0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FastNSFEPE 3-Way0.11Unverified
2FastFlow3DEPE 3-Way0.06Unverified
3NSFPEPE 3-Way0.06Unverified
4ZeroFlow 5x XLEPE 3-Way0.05Unverified
5SeFlowEPE 3-Way0.05Unverified
6TrackFlowEPE 3-Way0.05Unverified
7DeFlowEPE 3-Way0.03Unverified
#ModelMetricClaimedVerifiedStatus
1CamLiFlow (K)1px total85.31Unverified
2RAFT-3D (F)1px total78.82Unverified
3M-FUSE (K)1px total62.49Unverified
4CamLiFlow (F)1px total50.08Unverified
5RAFT-3D (K)1px total37.26Unverified
6M-FUSE (F)1px total34.9Unverified
#ModelMetricClaimedVerifiedStatus
1Self-Mono-SFSF-all49.54Unverified
2Multi-Mono-SFSF-all44.04Unverified
3PWOC-3DSF-all15.69Unverified
4CamLiRAFTSF-all4.26Unverified
#ModelMetricClaimedVerifiedStatus
1Self-Mono-SFD1-all31.25Unverified
2Multi-Mono-SFD1-all27.33Unverified
3EPCD1-all26.81Unverified
4EPC++D1-all23.84Unverified