MaxChanger/awesome-point-cloud-scene-flow
A list of point cloud scene flow papers, codes and datasets.
This resource helps researchers working with 3D sensor data to track and understand the motion of objects and scenes over time. It provides a curated list of recent academic papers, associated open-source codebases, and relevant datasets for 'scene flow' estimation. Researchers in robotics, autonomous driving, and computer vision can use this to quickly find state-of-the-art methods and resources for their projects.
253 stars. No commits in the last 6 months.
Use this if you are a researcher or engineer looking for the latest developments, code, and datasets in point cloud scene flow for applications like autonomous driving, robotics, or 3D environmental understanding.
Not ideal if you are looking for an out-of-the-box software solution or a tutorial for applying scene flow without prior research experience.
Stars
253
Forks
17
Language
—
License
—
Category
Last pushed
Sep 26, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/MaxChanger/awesome-point-cloud-scene-flow"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
patrick-llgc/Learning-Deep-Learning
Paper reading notes on Deep Learning and Machine Learning
magicleap/SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
eric-yyjau/pytorch-superpoint
Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629
lucasb-eyer/pydensecrf
Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.
changhao-chen/deep-learning-localization-mapping
A collection of deep learning based localization models