| Full name | Point Transformer joint training with ARKitScenes LabelMaker Consensus Dataset |
| Description | We use LabelMaker to automatically annotate ARKitScenes, one of the largest real-world indoor 3D scene dataset. We add this dataset to PTv3-PPT joint training. |
| Publication title | ARKit LabelMaker: A New Scale for Indoor 3D Scene Understanding |
| Publication authors | Guangda Ji, Silvan Weder, Francis Engelmann, Marc Pollefeys, Hermann Blum |
| Publication venue | arxiv |
| Publication URL | https://arxiv.org/abs/2410.13924 |
| Input Data Types | Uses Color Uses 3D |
| Programming language(s) | Python with CUDA |
| Hardware | 8x RTX 3090 |
| Website | https://labelmaker.org |
| Source code or download URL | https://github.com/quantaji/LabelMaker-Pointcept |
| Submission creation date | 5 Mar, 2024 |
| Last edited | 25 Mar, 2025 |
| Last uploaded | 13 Oct, 2024 |
