Derives Soft-Min-SNR weight from spread divergence on local Gaussian surrogates, yielding closed-form w = sigma^2/(sigma^2+lambda) that matches Min-SNR at leading order.
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Smoothed-KL Reweighting: A Principled Account and Matching Rule for SNR-Based Diffusion Training
Derives Soft-Min-SNR weight from spread divergence on local Gaussian surrogates, yielding closed-form w = sigma^2/(sigma^2+lambda) that matches Min-SNR at leading order.