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ironjr/semantic-draw
Official code for the CVPR 2025 paper "SemanticDraw: Towards Real-Time Interactive Content Creation from Image Diffusion Models."
587 53 +0/wk
GitHub
cvpr2025 diffusion-models drawing huggingface-spaces image-generation stable-diffusion stablediffusion3 streaming text-to-image
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0
Star & Fork Trend (33 data points)
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ironjr/semantic-draw has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | semantic-draw | photometric_optimization | Diffuman4D | skeleton-tracing |
|---|---|---|---|---|
| Stars | 587 | 587 | 586 | 585 |
| Forks | 53 | 99 | 29 | 64 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Jupyter Notebook | Python | Python | C |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | Apache-2.0 | MIT |
Capability Radar vs photometric_optimization
semantic-draw
photometric_optimization
Maintenance Activity 0
Last code push 312 days ago.
Community Engagement 45
Fork-to-star ratio: 9.0%. 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 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.