# aminebdj/OpenYOLO3D

<https://repo.masters-masters.com/en/repos/aminebdj/OpenYOLO3D>

[Home](https://repo.masters-masters.com/en) › [aminebdj](https://repo.masters-masters.com/en/owners/aminebdj) › [OpenYOLO3D](https://repo.masters-masters.com/en/repos/aminebdj/OpenYOLO3D)

aminebdj/OpenYOLO3D has 270 stars on GitHub. Its RepoMasters card: Alpha tier. \[ICLR 2025 (Oral 📢) \] Our OpenYOLO3D model achieves state-of-the-art…

| Field | Value |
| --- | --- |
| Owner | [aminebdj](https://repo.masters-masters.com/en/owners/aminebdj) |
| Stars | 270 |
| Forks | 18 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Topics | 3d-computer-vision, instance-segmentation, open-vocabulary, point-clouds |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [aminebdj/OpenYOLO3D](https://github.com/aminebdj/OpenYOLO3D) |

## Repository

\[ICLR 2025 (Oral 📢) \] Our OpenYOLO3D model achieves state-of-the-art performance in Open Vocabulary 3D Instance Segmentation on ScanNet200 and Replica datasets with up ∼16x speedup compared to the best existing method in literature.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.