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Point Cloud Segmentation

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3D point cloud segmentation is the process of classifying point clouds into multiple homogeneous regions, the points in the same region will have the same properties. The segmentation is challenging because of high redundancy, uneven sampling density, and lack explicit structure of point cloud data. This problem has many applications in robotics such as intelligent vehicles, autonomous mapping and navigation.

Source: 3D point cloud segmentation: A survey

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/dvlab-research/stratified-transformer

공식 코드

Stratified Transformer for 3D Point Cloud Segmentation

https://github.com/eth-sri/segmentation-smoothing

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Scalable Certified Segmentation via Randomized Smoothing

https://github.com/faridghm/meta-sel

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3D-model ShapeNet Core Classification using Meta-Semantic Learning

https://github.com/fengjiang5/knowledge-distillation-from-cylinder3d-to-polarnet

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Knowledge Distillation from 3D to Bird's-Eye-View for LiDAR Semantic Segmentation

https://github.com/fengzicai/cluster3dseg

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Clustering based Point Cloud Representation Learning for 3D Analysis

https://github.com/g-meghana-reddy/open-world-panoptic-segmentation

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Lidar Panoptic Segmentation in an Open World

https://github.com/gaoyuan2/apcotta

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APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds

https://github.com/genintel/datasetnerf

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DatasetNeRF: Efficient 3D-aware Data Factory with Generative Radiance Fields

https://github.com/guoyangzhao/curbnet

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CurbNet: Curb Detection Framework Based on LiDAR Point Cloud Segmentation

https://github.com/gyshgx868/graph-ter

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GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations

https://github.com/haibo-qiu/PointHR

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PointHR: Exploring High-Resolution Architectures for 3D Point Cloud Segmentation

https://github.com/hansen7/OcCo

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Unsupervised Point Cloud Pre-Training via Occlusion Completion

https://github.com/jingdao/learn_region_grow

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LRGNet: Learnable Region Growing for Class-Agnostic Point Cloud Segmentation

https://github.com/jliu4ai/dpa

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Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation

https://github.com/ken012git/joint_point_based

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A Unified Point-Based Framework for 3D Segmentation

https://github.com/ketrint/em_showers_segmentation

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Segmentation of EM showers for neutrino experiments with deep graph neural networks

https://github.com/kzampog/cilantro

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cilantro: A Lean, Versatile, and Efficient Library for Point Cloud Data Processing

https://github.com/lab123-tech/gstran

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GSTran: Joint Geometric and Semantic Coherence for Point Cloud Segmentation

https://github.com/lcosmo/DGM_pytorch

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Differentiable Graph Module (DGM) for Graph Convolutional Networks

https://github.com/lexieyang/3d-pointzshots

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3D-PointZshotS: Geometry-Aware 3D Point Cloud Zero-Shot Semantic Segmentation Narrowing the Visual-Semantic Gap

https://github.com/liyaotang/contrastboundary

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Contrastive Boundary Learning for Point Cloud Segmentation

https://github.com/lulutang0608/Point-BERT

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Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling

https://github.com/lxtgh/awesome-segmenation-with-transformer

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Transformer-Based Visual Segmentation: A Survey

https://github.com/lxtgh/awesome-segmentation-with-transformer

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Transformer-Based Visual Segmentation: A Survey

https://github.com/ma-xu/pointmlp-pytorch

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Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

https://github.com/martianxiu/diffusionunit

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Diffusion Unit: Interpretable Edge Enhancement and Suppression Learning for 3D Point Cloud Segmentation

https://github.com/maudzung/SFA3D

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Generalized Robot 3D Vision-Language Model with Fast Rendering and Pre-Training Vision-Language Alignment

https://github.com/mutianxu/GDANet

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Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud

https://github.com/nicehuster/sympoint

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Symbol as Points: Panoptic Symbol Spotting via Point-based Representation

https://github.com/octree-nn/octformer

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OctFormer: Octree-based Transformers for 3D Point Clouds

https://github.com/pahn04/ppconv

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Projection-based Point Convolution for Efficient Point Cloud Segmentation

https://github.com/pleaseconnectwifi/PNAL

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Robust Point Cloud Segmentation with Noisy Annotations

https://github.com/plusmultiply/mprm

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Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds

https://github.com/reimilia/simple3d-former

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Can We Solve 3D Vision Tasks Starting from A 2D Vision Transformer?

https://github.com/saltoricristiano/cosmix-uda

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CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation

https://github.com/saltoricristiano/gipso-sfouda

공식 코드

GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation

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