A list of point cloud scene flow papers, codes and datasets.
-
Updated
Mar 7, 2025
A list of point cloud scene flow papers, codes and datasets.
🔥OGC in PyTorch (NeurIPS 2022 & TPAMI 2024)
A codebase for point cloud scene flow estimation research. Latest works: HiMo(T-RO'25), VoteFlow(CVPR'25), Flow4D(RA-L'25), SSF(ICRA'25), SeFlow(ECCV'24), DeFlow(ICRA'24) | Inlucde 11 methods | 5 public datasets
[RA-L & IROS'22] Self-Supervised Scene Flow Estimation with 4-D Automotive Radar
Implementation of 3D SceneFlowNet: Self-Supervised 3D Scene Flow Estimation
Fast per-point embedding kernel for scene flow estimation
DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance
Add a description, image, and links to the scene-flow-estimation topic page so that developers can more easily learn about it.
To associate your repository with the scene-flow-estimation topic, visit your repo's landing page and select "manage topics."