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metadata
license: mit
datasets:
  - labelmaker/arkit_labelmaker
  - labelmaker/ALC_pointcept
base_model:
  - Pointcept/PointTransformerV3

Models Trained with ARKit LabelMaker

  1. Please check out out project page labelmaker.org. 😁
  2. The major dataset is here and the processing code and preprocessed dataset for PTv3 is here.
  3. Training log tensorboard link
  4. We made some modification on Pointcept. You can also download per-experiment code base in each experiment folder.

1. 3D Semantic Segmentation

Model: PointTransformer V3 + PPT. Additional dataset: ScanNet++, Structured3D.

Task ScanNet ScanNet200 ScanNet mIoU ScanNet200 mIoU ckpt config folder
Eval ScanNet on val train train + val 79.1 - link link link
Eval ScanNet200 on val train + val train - 37.5 link link link
Eval on both on test train + val train + val 79.8 41.4 link link link

2. 3D Instance Segmentation

Pre-trained model checkpoints: PointTransformer V3 + PPT. Training dataset: ScanNet/ScanNet200 training split.

Task val mAP ckpt config folder
ScanNet 41.4 link link link
ScanNet200 24.5 link link link