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8 search results found

Pointnet_pointnet2_pytorch ⭐ 2,491

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

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

2dimageto3dmodel ⭐ 190

We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.

Deep_cage ⭐ 70

code for "Neural Cages for Detail-Preserving 3D Deformations"

PVT: Point-Voxel Transformer for 3D Deep Learning

Graphx Conv ⭐ 34

Official implementation of GraphX-Convolution

PRIN/SPRIN: On Extracting Point-wise Rotation Invariant Features

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.

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