AIBullisharXiv – CS AI · 7h ago6/10
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Efficient Weighted Sampling via Score-based Generative Models
Researchers propose a training-free weighted sampling framework using pretrained score-based generative models that achieves 1.2–4.7× speedups over existing methods. The approach avoids computationally expensive derivatives and resampling steps by incorporating lightweight guidance and adaptive scheduling, demonstrating effectiveness from synthetic experiments to large-scale applications like Stable Diffusion XL.
🧠 Stable Diffusion