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Search results for python s3dis

18 search results found

Pointnet_pointnet2_pytorch ⭐ 2,491

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

Randla Net ⭐ 1,128

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

Softgroup ⭐ 317

[CVPR 2022 Oral] SoftGroup for Instance Segmentation on 3D Point Clouds

Repsurf ⭐ 246

[CVPR 2022 Oral] Official implementation for "Surface Representation for Point Clouds"

Deepviewagg ⭐ 195

[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

[WACV'24] TD3D: Top-Down Beats Bottom-Up in 3D Instance Segmentation

[ICIP2023] TR3D: Towards Real-Time Indoor 3D Object Detection

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

Oneformer3d ⭐ 59

OneFormer3D: One Transformer for Unified Point Cloud Segmentation

Grid Gcn ⭐ 52

Grid-GCN for Fast and Scalable Point Cloud Learning

PVT: Point-Voxel Transformer for 3D Deep Learning

[ICCV-23] Official implementation of SeedAL for seeding active learning for 3D semantic segmentation

[CVPR 2021] CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation

Morton Net ⭐ 9

PyTorch implementation to train MortonNet and use it to compute point features. MortonNet is trained in a self-supervised fashion, and the features can be used for general tasks like part or semantic segmentation of point clouds.

A versatile framework for 3D machine learning built on Pytorch Lightning and Hydra [looking for contributors!]

Point Planenet ⭐ 7

Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis

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