Point Cloud Processing ML Frameworks
Deep learning frameworks and architectures for processing, analyzing, and upsampling 3D point clouds. Includes convolution operations (KPConv, voxel-based), self-supervised learning, registration, and surface reconstruction on point cloud data. Does NOT include general 3D deep learning, voxel/mesh processing without point cloud focus, or non-learning-based point cloud algorithms.
There are 69 point cloud processing frameworks tracked. 1 score above 70 (verified tier). The highest-rated is daavoo/pyntcloud at 72/100 with 1,500 stars and 58,995 monthly downloads. 1 of the top 10 are actively maintained.
Get all 69 projects as JSON
curl "https://pt-edge.onrender.com/api/v1/datasets/quality?domain=ml-frameworks&subcategory=point-cloud-processing&limit=20"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
daavoo/pyntcloud
pyntcloud is a Python library for working with 3D point clouds. |
|
Verified |
| 2 |
torch-points3d/torch-points3d
Pytorch framework for doing deep learning on point clouds. |
|
Established |
| 3 |
yangyanli/PointCNN
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018) |
|
Established |
| 4 |
charlesq34/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space |
|
Established |
| 5 |
yogeshhk/MidcurveNN
Computation of Midcurve of Thin Polygons using Neural Networks |
|
Emerging |
| 6 |
ranahanocka/MeshCNN
Convolutional Neural Network for 3D meshes in PyTorch |
|
Emerging |
| 7 |
griegler/octnet
OctNet: Learning Deep 3D Representations at High Resolutions |
|
Emerging |
| 8 |
nikitakaraevv/pointnet
PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D... |
|
Emerging |
| 9 |
charlesq34/pointnet-autoencoder
Autoencoder for Point Clouds |
|
Emerging |
| 10 |
timzhang642/3D-Machine-Learning
A resource repository for 3D machine learning |
|
Emerging |
| 11 |
AutodeskAILab/BRepNet
BRepNet: A topological message passing system for solid models |
|
Emerging |
| 12 |
ranahanocka/point2mesh
Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020] |
|
Emerging |
| 13 |
karimknaebel/point2vec
[GCPR 2023 | CVPR 2023 Workshop] Self-Supervised Representation Learning on... |
|
Emerging |
| 14 |
kuixu/3d-deep-learning
3D Deep Learning works |
|
Emerging |
| 15 |
Yochengliu/DensePoint
DensePoint: Learning Densely Contextual Representation for Efficient Point... |
|
Emerging |
| 16 |
stevenygd/PointFlow
PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows |
|
Emerging |
| 17 |
HuangCongQing/3D-Point-Clouds
🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等 |
|
Emerging |
| 18 |
ErlerPhilipp/points2surf
Learning Implicit Surfaces from Point Clouds (ECCV 2020) |
|
Emerging |
| 19 |
AutodeskAILab/UV-Net
Code for UV-Net: Learning from Boundary Representations, CVPR 2021. |
|
Emerging |
| 20 |
drprojects/point_geometric_features
Python wrapper around C++ utilities for computing neighbors and local... |
|
Emerging |
| 21 |
cuge1995/PointCutMix
our code for paper 'PointCutMix: Regularization Strategy for Point Cloud... |
|
Emerging |
| 22 |
mauriceqch/2021_pc_perceptual_loss
A deep perceptual metric for 3D point clouds |
|
Emerging |
| 23 |
Chen-Suyi/PointRegGPT
[ECCV 2024] PointRegGPT: Boosting 3D Point Cloud Registration using... |
|
Emerging |
| 24 |
gabrieletiboni/paintnet
PaintNet: Unstructured Multi-Path Learning from 3D Point Clouds for Robotic... |
|
Emerging |
| 25 |
raphaelsulzer/dsr-benchmark
[TPAMI 2024] A Survey and Benchmark for Automatic Surface Reconstruction... |
|
Emerging |
| 26 |
cgtuebingen/Flex-Convolution
Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond... |
|
Emerging |
| 27 |
dgriffiths3/pointnet2-tensorflow2
Pointnet++ modules implemented as tensorflow 2 keras layers. |
|
Emerging |
| 28 |
MegEngine/RepLKNet
Official MegEngine implementation of RepLKNet |
|
Emerging |
| 29 |
Wuziyi616/multi_part_assembly
Code Accompany NeurIPS 2022 Dataset Paper: Breaking Bad. A Shape Assembly... |
|
Emerging |
| 30 |
EasyRy/RepKPU
Point Cloud Upsampling with Kernel Point Representation and Deformation |
|
Emerging |
| 31 |
martinnormark/neural-mesh-simplification
Un-official and WIP Implementation of the Neural Mesh Simplification paper |
|
Emerging |
| 32 |
ajhamdi/MVTN
pytorch implementation of the ICCV'21 paper "MVTN: Multi-View Transformation... |
|
Emerging |
| 33 |
PointCloudYC/ResPointNet2
ResPointNet++ for AutoCon journal paper. |
|
Emerging |
| 34 |
InterDigitalInc/GRASP-Net
Source code of "GRASP-Net: Geometric Residual Analysis and Synthesis for... |
|
Experimental |
| 35 |
yifita/3PU
Patch-base progressive 3D Point Set Upsampling |
|
Experimental |
| 36 |
superbijk/pytorch_pcd_metrics
PyTorch CUDA accelerated evaluation metrics for point cloud generation; All... |
|
Experimental |
| 37 |
ajhamdi/vointcloud
Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding (ICLR 2023) |
|
Experimental |
| 38 |
Chen-Suyi/SIRA_Pytorch
[ICCV 2023] SIRA-PCR: Sim-to-Real Adaptation for 3D Point Cloud... |
|
Experimental |
| 39 |
divanoLetto/3D_STEP_Classification
A new approach for retrieval and classification of 3D models that directly... |
|
Experimental |
| 40 |
Gorilla-Lab-SCUT/AnalyticMesh
An Efficient Implementation of Analytic Mesh Algorithm for 3D Iso-surface... |
|
Experimental |
| 41 |
LTU-RAI/sga-dpcc
Official page for SGA-DPCC (Scene Graph-Aware Deep Point Cloud Compression),... |
|
Experimental |
| 42 |
athrva98/llb-features
Implementation of Local Laplace-Beltrami features for Point Clouds |
|
Experimental |
| 43 |
gabrieletiboni/MaskPlanner
MaskPlanner is a deep learning model for the quick generation of multiple,... |
|
Experimental |
| 44 |
huangjh-pub/synorim
[T-PAMI'22] [Jittor & Pytorch] Multiway Non-rigid Point Cloud Registration... |
|
Experimental |
| 45 |
isaaccorley/simpleview-pytorch
PyTorch implementation of SimpleView from "Revisiting Point Cloud... |
|
Experimental |
| 46 |
xiaoaoran/3d_url_survey
(TPAMI2023) Unsupervised Point Cloud Representation Learning with Deep... |
|
Experimental |
| 47 |
dnyanshwalwadkar/DepthMapExplorer-3DPointCloudLab
Explore the World in 3D: 3DPointCloudLab is your gateway to the fascinating... |
|
Experimental |
| 48 |
I2-Multimedia-Lab/Pointsoup
[IJCAI 2024] Pointsoup: High-Performance and Extremely Low-Decoding-Latency... |
|
Experimental |
| 49 |
hxwork/OMNet_Pytorch
[ICCV 2021] OMNet: Learning Overlapping Mask for Partial-to-Partial Point... |
|
Experimental |
| 50 |
I2-Multimedia-Lab/PoLoPCAC
[Under Review] Efficient and Generic Point Model for Lossless Point Cloud... |
|
Experimental |
| 51 |
CPones/PointNet-with-ModleNet40
基于深度学习的3D点云数据处理——开上之作PointNet模型【Pytorch版】 |
|
Experimental |
| 52 |
google-research/se3ds
This repository hosts the code for our paper, "Simple and Effective... |
|
Experimental |
| 53 |
rui-qian/BANet
Rui Qian, Xin Lai, Xirong Li: BADet: Boundary-Aware 3D Object Detection from... |
|
Experimental |
| 54 |
cuge1995/CVPR-2021-point-cloud-analysis
CVPR 2021 papers focusing on point cloud analysis |
|
Experimental |
| 55 |
ArmanMaesumi/poissonnet
Official repository for "PoissonNet: A Local-Global Approach for Learning on... |
|
Experimental |
| 56 |
MegEngine/FINet
This is the official MegEngine implementation of FINet: Dual Branches... |
|
Experimental |
| 57 |
AndrewColligan/CADNet
Code for Graph Representation of 3D CAD models for Machining Feature... |
|
Experimental |
| 58 |
hkkkpang/Joint-PL-network
Deep network for joint line and point detection and description |
|
Experimental |
| 59 |
Correr-Zhou/RepMode
[CVPR 2023 (Highlight)] Offical implementation of the paper "RepMode:... |
|
Experimental |
| 60 |
sairajk/asia
[SIGGRAPH Asia 2025] "ASIA: Adaptive 3D Segmentation using Few Image Annotations ". |
|
Experimental |
| 61 |
JeonJaeHyeong/DPL
Code for paper "Semantic Diversity-aware Prototype-based Learning for... |
|
Experimental |
| 62 |
coldmanck/recovering-unbiased-scene-graphs
Official implementation of "Recovering the Unbiased Scene Graphs from the... |
|
Experimental |
| 63 |
auniquesun/pointer
Point TransformER - Paper Collection of Transformer based, Unsupervised and... |
|
Experimental |
| 64 |
mesh-adaptation/UM2N
[NeurIPS 2024 Spotlight] Towards Universal Mesh Movement Networks |
|
Experimental |
| 65 |
SYSU-Video/JGAU
JGAU: Deep Learning based Joint Geometry and Attribute Up-sampling for... |
|
Experimental |
| 66 |
renwuli/awesome-geometry-learning
A list of paper related to Geometry Learning. |
|
Experimental |
| 67 |
ZhileiChen99/UTOPIC
Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration |
|
Experimental |
| 68 |
nerovalerius/AttentiveCylinder3D
Cylinder3D with CodedVTR Attention Blocks |
|
Experimental |
| 69 |
UCSB-CASL/Curvature_ECNet_2D
Error-correcting neural networks for two-dimensional curvature computation... |
|
Experimental |