Distribution Matching Distillation


Révision datée du 2 avril 2024 à 09:24 par Pitpitt (discussion | contributions) (Page créée avec « ==en construction== == Définition == XXXXXXXXX == Français == ''' XXXXXXXXX ''' == Anglais == ''' Distribution Matching Distillation''' MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers have introduced a new framework that simplifies the multi-step process of traditional diffusion models into a single step, addressing previous limitations. This is done through a type of teacher-student model: teaching a new computer model to m... »)
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Distribution Matching Distillation 

MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers have introduced a new framework that simplifies the multi-step process of traditional diffusion models into a single step, addressing previous limitations. This is done through a type of teacher-student model: teaching a new computer model to mimic the behavior of more complicated, original models that generate images. The approach, known as distribution matching distillation (DMD), retains the quality of the generated images and allows for much faster generation.


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Source : tianweiy

Récupérée de « https://datafranca.org/wiki/index.php?title=Distribution_Matching_Distillation&oldid=102457 »


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