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3d_urban_mesh_annotator

A tool for annotating textured urban meshes

fastsam

Fast Segment Anything

feature-geometric-net-fg-net

:fire: :muscle: FG-Net: A Fast and Accurate Framework for Large-Scale LiDAR Point Cloud Understanding

keymousego

类似按键精灵的鼠标键盘录制和自动化操作 模拟点击和键入 | automate mouse clicks and keyboard input

kpconv-pytorch

Kernel Point Convolution implemented in PyTorch

learnableearthparser

Official Pytorch implementation of the "Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans" paper

mag

Python (PyTorch) code and model of "Point Cloud Denoising via Momentum Ascent in Gradient Fields"

nanosam

A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT

pcpnet

Pytorch implementation of PCPNet

pnal

Learning with Noisy Labels for Robust Point Cloud Segmentation (ICCV2021 Oral)

point_geometric_features

Python wrapper around C++ utility to compute local geometric features of a point cloud

pointcleannet

potree

WebGL point cloud viewer for large datasets

pssnet

PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshes

qgis

QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)

score-denoise

:snowflake: Score-Based Point Cloud Denoising (ICCV 2021)

segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

segmentanything3d

SAM3D: Segment Anything in 3D Scenes

stpls3d

🔥 Synthetic and real-world 2d/3d dataset for semantic and instance segmentation (BMVC 2022 Oral)

superpoint_transformer

[ICCV'23] Official PyTorch implementation of Superpoint Transformer introduced in "Efficient 3D Semantic Segmentation with Superpoint Transformer"

torch-points3d

Pytorch framework for doing deep learning on point clouds.

totaldenoising

Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning