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pro vyhledávání: '"Strasman, Stanislas"'
Score-based generative models (SGMs) aim at estimating a target data distribution by learning score functions using only noise-perturbed samples from the target.Recent literature has focused extensively on assessing the error between the target and e
Externí odkaz:
http://arxiv.org/abs/2402.04650
