FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)
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Updated
Mar 1, 2023 - Python
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
The pytorch implementation of flownet3d: https://github.com/xingyul/flownet3d
[CVPR 2021] PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
Fast Neural Scene Flow (ICCV 2023)
[ECCV'24] SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving
Implementation of the FastFlow3D architecture for scene flow estimation from LiDAR point clouds in PyTorch using PyTorch Lightning.
This repo contains C++ code for sparse scene flow method.
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
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
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