PointTransformerX is a fully PyTorch-native 3D point cloud transformer backbone that reaches 98.7% of PointTransformer V3 accuracy on ScanNet using 79.2% fewer parameters, 1.6x faster inference, and only 253 MB memory while running natively on NVIDIA, AMD, and CPU hardware.
4d spatio-temporal convnets: Minkowski convolutional neural networks
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PointTransformerX: Portable and Efficient 3D Point Cloud Processing without Sparse Algorithms
PointTransformerX is a fully PyTorch-native 3D point cloud transformer backbone that reaches 98.7% of PointTransformer V3 accuracy on ScanNet using 79.2% fewer parameters, 1.6x faster inference, and only 253 MB memory while running natively on NVIDIA, AMD, and CPU hardware.