Weistrass/DyRef
[ECCV 2026 Oral] Official repository for Scaling Multi-Reference Image Generation with Dynamic Reward Optimization
350
Stars
7
Forks
40.6
Radar Score
Stable
Momentum
Scoring Breakdown
Impact38.1
Velocity39.0
Health47.0
Growth Metrics
7-Day Stars
+0
30-Day Stars
+0
Acceleration
x
Language
Python
Why it ranks
Steady growth — consistently collecting stars and contributors.
Generative AI · imageTop 60% globally
Popular Alternatives & Competitors
Top projects in the same category (Generative AI) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
95%
High Confidence
Growth pattern looks organic.
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
40.6
Composite of Impact, Velocity, and Health.
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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