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 76100 of 152 papers

TitleStatusHype
RAFT-MSF: Self-Supervised Monocular Scene Flow using Recurrent Optimizer0
3D Object Detection with a Self-supervised Lidar Scene Flow BackboneCode1
RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds0
Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point CloudsCode1
Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions0
DetFlowTrack: 3D Multi-object Tracking based on Simultaneous Optimization of Object Detection and Scene Flow Estimation0
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
RCP: Recurrent Closest Point for Point CloudCode0
Exploiting Rigidity Constraints for LiDAR Scene Flow Estimation0
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
Learning Scene Dynamics from Point Cloud Sequences0
Neural Scene Flow PriorCode1
Accurate Point Cloud Registration with Robust Optimal TransportCode1
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation0
Residual 3D Scene Flow Learning with Context-Aware Feature Extraction0
Neighborhood Normalization for Robust Geometric Feature LearningCode1
Neural UpFlow: A Scene Flow Learning Approach to Increase the Apparent Resolution of Particle-Based Liquids0
Self-Point-Flow: Self-Supervised Scene Flow Estimation from Point Clouds with Optimal Transport and Random Walk0
SCTN: Sparse Convolution-Transformer Network for Scene Flow EstimationCode1
Self-Supervised Multi-Frame Monocular Scene FlowCode1
Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point CloudsCode0
FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point CloudsCode1
Scalable Scene Flow from Point Clouds in the Real WorldCode1
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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