Scene Flow Estimation
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Benchmarks
Most implemented
Scalable Scene Flow from Point Clouds in the Real World
DeFlow: Decoder of Scene Flow Network in Autonomous Driving
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving
Let-It-Flow: Simultaneous Optimization of 3D Flow and Object Clustering
Papers
RVLoss: Runoff Vote Loss for Self-Supervised LiDAR Scene Flow Estimation
LiDAR scene flow estimates point-wise motion between two consecutive scans, referred to as the source and target. Leading self-supervised methods typically minimize the Chamfer loss, the nearest neighbor distance between…
Self-Supervised LearningScene Flow EstimationDisFlow: Scene Flow from Distance Field for Object Pose, Velocity Tracking, and Dynamic Object Reconstruction
We present \emph{DisFlow}, a novel framework for online scene flow estimation from distance field that enables \emph{6DoF dynamic object pose estimation}, \emph{motion tracking}, and \emph{surface reconstruction}. The sc…
Scene Flow EstimationPose EstimationWeakly Supervised Cross-Modal Learning for 4D Radar Scene Flow Estimation
Due to the difficulty of obtaining ground-truth data for 4D radar scene flow estimation, previous methods typically rely on either self-supervised losses or cross-modal supervision using 3D LiDAR data, 2D images, and odo…
3D Multi-Object TrackingScene Flow EstimationPoint CloudsRAFT-MSF++: Temporal Geometry-Motion Feature Fusion for Self-Supervised Monocular Scene Flow
Monocular scene flow estimation aims to recover dense 3D motion from image sequences, yet most existing methods are limited to two-frame inputs, restricting temporal modeling and robustness to occlusions. We propose RAFT…
Scene Flow EstimationSynFlow: Scaling Up LiDAR Scene Flow Estimation with Synthetic Data
Reliable 3D dynamic perception requires models that can anticipate motion beyond predefined categories, yet progress is hindered by the scarcity of dense, high-quality motion annotations. While self-supervision on unlabe…
Scene Flow EstimationPCSTracker: Long-Term Scene Flow Estimation for Point Cloud Sequences
Point cloud scene flow estimation is fundamental to long-term and fine-grained 3D motion analysis. However, existing methods are typically limited to pairwise settings and struggle to maintain temporal consistency over l…
Scene Flow Estimation