# NVlabs/ODISE

<https://repo.masters-masters.com/en/repos/NVlabs/ODISE>

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

NVlabs/ODISE has 944 stars on GitHub. Its RepoMasters card: Beta tier. Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with…

| Field | Value |
| --- | --- |
| Owner | [NVlabs](https://repo.masters-masters.com/en/owners/NVlabs) |
| Stars | 944 |
| Forks | 59 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Topics | deep-learning, instance-segmentation, panoptic-segmentation, pytorch, semantic-segmentation, diffusion-models, text-image-retrieval, zero-shot-learning, open-vocabulary, open-vocabulary-segmentation |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [NVlabs/ODISE](https://github.com/NVlabs/ODISE) |

## Repository

Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models \[CVPR 2023 Highlight\]

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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