models

Model architectures, the create_model factory, and the pretrained weight registry.

Modules:

• concerto –

  Concerto pretrained encoders and linear-probing segmentation model.

• detr3d –

  3DETR: an end-to-end transformer detector for 3D point clouds.

• dgcnn –

  DGCNN classification and segmentation models.

• kpconv –

  KPConv classification and segmentation models.

• lion –

  LION detection model.

• octformer –

  OctFormer classification and segmentation models.

• point_bert –

  Point-BERT classification models, discrete VAE tokenizer, and masked pretraining transformer.

• point_m2ae –

  Point-M2AE classification, segmentation, and masked autoencoder pretraining models.

• point_mae –

  Point-MAE classification, segmentation, and masked autoencoder pretraining models.

• point_mamba –

  Point-Mamba classification and masked autoencoder pretraining models.

• point_transformer –

  Point Transformer classification and segmentation models.

• point_transformer_v2 –

  Point Transformer V2 classification and segmentation models.

• point_transformer_v3 –

  Point Transformer V3 classification and segmentation models.

• pointcnn –

  PointCNN classification and segmentation models.

• pointconv –

  PointConv classification model.

• pointgpt –

  PointGPT classification and generative pretraining models.

• pointmlp –

  PointMLP classification and segmentation models.

• pointnet –

  PointNet classification and segmentation models.

• pointnet2 –

  PointNet++ classification and segmentation models.

• pointnext –

  PointNeXt classification and segmentation models.

• pointpillars –

  PointPillars detection models.

• pointrcnn –

  PointRCNN detection model.

• pvcnn –

  PVCNN classification and segmentation models.

• pvcnn2 –

  PVCNN++ classification and segmentation models.

• randlanet –

  RandLA-Net classification and segmentation models.

• second –

  SECOND detection models.

• sonata –

  Sonata pretrained encoder and linear-probing segmentation model.

• spformer_unet –

  SPFormer-UNet segmentation model.

• sphereformer –

  SphereFormer segmentation model.

• spunet –

  SpUNet segmentation model.

• spvcnn –

  SPVCNN classification and segmentation models.

• utonia –

  Utonia pretrained encoder and linear-probing segmentation model.

• votenet –

  VoteNet detection model.

• voxel_mamba –

  Voxel-Mamba detection model.

• voxelnext –

  VoxelNeXt detection model.