A new Lines Matching Model trains a network to map noise to clean images along straight paths defined by a pretrained EDM sampler, achieving top FID scores in one or two sampling steps.
Near-linear time approximation algorithms for optimal transport via sinkhorn iteration
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Generative Lines Matching Models
A new Lines Matching Model trains a network to map noise to clean images along straight paths defined by a pretrained EDM sampler, achieving top FID scores in one or two sampling steps.