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 150 of 152 papers

TitleStatusHype
STORM: Spatio-Temporal Reconstruction Model for Large-Scale Outdoor ScenesCode3
DeFlow: Decoder of Scene Flow Network in Autonomous DrivingCode3
SeFlow: A Self-Supervised Scene Flow Method in Autonomous DrivingCode2
SceneTracker: Long-term Scene Flow Estimation NetworkCode2
ICP-Flow: LiDAR Scene Flow Estimation with ICPCode2
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based RefinementCode2
Learning Optical Flow and Scene Flow with Bidirectional Camera-LiDAR FusionCode2
VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene FlowCode1
MambaFlow: A Novel and Flow-guided State Space Model for Scene Flow EstimationCode1
FastPCI: Motion-Structure Guided Fast Point Cloud Frame InterpolationCode1
ScaleFlow++: Robust and Accurate Estimation of 3D Motion from VideoCode1
ScaleFlow++: Robust and Accurate Estimation of 3D Motion from VideoCode1
Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow EstimationCode1
Let-It-Flow: Simultaneous Optimization of 3D Flow and Object ClusteringCode1
Fast Kernel Scene FlowCode1
DiffSF: Diffusion Models for Scene Flow EstimationCode1
3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labellingCode1
DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Diffusion ModelCode1
Self-Supervised 3D Scene Flow Estimation and Motion Prediction using Local Rigidity PriorCode1
Multi-Body Neural Scene FlowCode1
RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow EstimationCode1
DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point CloudsCode1
milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion SensingCode1
Unleash the Potential of 3D Point Cloud Modeling with A Calibrated Local Geometry-driven Distance MetricCode1
GMSF: Global Matching Scene FlowCode1
ZeroFlow: Scalable Scene Flow via DistillationCode1
Self-Supervised 3D Scene Flow Estimation Guided by SuperpointsCode1
Fast Neural Scene FlowCode1
DEFLOW: Self-supervised 3D Motion Estimation of Debris FlowCode1
Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and StereoCode1
Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal SupervisionCode1
SCOOP: Self-Supervised Correspondence and Optimization-Based Scene FlowCode1
SF2SE3: Clustering Scene Flow into SE(3)-Motions via Proposal and SelectionCode1
What Matters for 3D Scene Flow NetworkCode1
Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow EstimationCode1
M-FUSE: Multi-frame Fusion for Scene Flow EstimationCode1
3D Object Detection with a Self-supervised Lidar Scene Flow BackboneCode1
Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point CloudsCode1
Self-Supervised Scene Flow Estimation with 4-D Automotive RadarCode1
Dual Task Learning by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect MatchesCode1
MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene FlowEstimation with Monocular ImagesCode1
CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow EstimationCode1
Accurate Point Cloud Registration with Robust Optimal TransportCode1
Neural Scene Flow PriorCode1
Neighborhood Normalization for Robust Geometric Feature LearningCode1
SCTN: Sparse Convolution-Transformer Network for Scene Flow EstimationCode1
Self-Supervised Multi-Frame Monocular Scene FlowCode1
FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point CloudsCode1
Scalable Scene Flow from Point Clouds in the Real WorldCode1
Weakly Supervised Learning of Rigid 3D Scene FlowCode1
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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