FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)

[CVPR 2022 Oral & TPAMI 2023] Learning Optical Flow and Scene Flow with Bidirectional Camera-LiDAR Fusion

A list of point cloud scene flow papers, codes and datasets.

Code for "Learning to Segment Rigid Motions from Two Frames". CVPR 2021.

[CVPR 2021, Oral] "Weakly Supervised Learning of Rigid 3D Scene Flow"

Neural Scene Flow Prior (NeurIPS 2021 spotlight)

[CVPR 2023 Highlight 💡] Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision

[ICRA'24] DeFlow: Decoder of Scene Flow Network in Autonomous Driving

[CVPR 2021] PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds

The pytorch implementation of flownet3d: https://github.com/xingyul/flownet3d

[ECCV'24] SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving

Fast Neural Scene Flow (ICCV 2023)

Implementation of the FastFlow3D architecture for scene flow estimation from LiDAR point clouds in PyTorch using PyTorch Lightning.

Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding

This repo contains C++ code for sparse scene flow method.

Get 3D motion vectors / scene flow directly from Blender

Implementation of 3D SceneFlowNet: Self-Supervised 3D Scene Flow Estimation

SFAMNet: A Scene Flow Attention-based Micro-expression Network

[3DV 2024] Repository for "Multi-Body Neural Scene Flow", in International Conference on 3D Vision 2024.

Additional utility code for the Spring dataset and benchmark