OD
NVlabs/ODISE
Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]
937 56 +0/wk
GitHub
deep-learning diffusion-models instance-segmentation open-vocabulary open-vocabulary-segmentation open-vocabulary-semantic-segmentation open-world-classification open-world-object-detection panoptic-segmentation pytorch semantic-segmentation text-image-retrieval
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Star & Fork Trend (28 data points)
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NVlabs/ODISE has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | ODISE | GSCNN | ML-University | femtoGPT |
|---|---|---|---|---|
| Stars | 937 | 937 | 937 | 936 |
| Forks | 56 | 200 | 120 | 67 |
| Weekly Growth | +0 | +0 | +0 | +1 |
| Language | Python | Python | N/A | Rust |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | NOASSERTION | N/A | MIT |
Capability Radar vs GSCNN
ODISE
GSCNN
Maintenance Activity 0
Last code push 642 days ago.
Community Engagement 30
Fork-to-star ratio: 6.0%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.