AI RESEARCH
Optimal Denoising in Score-Based Generative Models: The Role of Data Regularity
arXiv CS.LG
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ArXi:2503.12966v3 Announce Type: replace Score-based generative models achieve state-of-the-art sampling performance by denoising a distribution perturbed by Gaussian noise. In this paper, we focus on a single deterministic denoising step, and compare the optimal denoiser for the quadratic loss, we name ''full-denoising'', to the alternative ''half-denoising