apple-aiml-research/ml-kpconvx

Pointcept: Perceive the world with sparse points, a codebase for point cloud perception research. Latest works: Utonia (ICML'26), Concerto (NeurIPS'25), Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral)

the official implementation of PointCNN++ (CVPR 2026)

Official PyTorch implementation of Superpoint Transformer [ICCV'23], SuperCluster [3DV'24 Oral], and EZ-SP [ICRA'26]

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [ASSANet](https://arxiv.org/abs/2110.10538), [PointNeXt](https://arxiv.org/abs/2206.04670)

[CVPR 2026 Highlight] LitePT: Lighter Yet Stronger Point Transformer

Collect and summarize point cloud sota methods.

Make your wildest 3D ConvNet dream architectures come true