Models Trained with ARKit LabelMaker

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The major dataset is here and the processing code and preprocessed dataset for PTv3 is here.
Training log tensorboard link
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

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

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