Representation Autoencoders


Révision datée du 27 octobre 2025 à 19:57 par Pitpitt (discussion | contributions) (Page créée avec « == EN CONSTRUCTION == == Définition == xxxxx == Français == '''xxxxx ''' == Anglais == '''Representation Autoencoders''' representation encoders like DINO or SigLIP. The method challenges the common assumption that semantic encoders are unsuitable for reconstruction tasks and demonstrates that they can actually provide superior performance for image generation. Replacing VAEs with pretrained representation encoders in Diffusion Transformers enhances gen... »)
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EN CONSTRUCTION

Définition

xxxxx

Français

xxxxx

Anglais

Representation Autoencoders 

representation encoders like DINO or SigLIP. The method challenges the common assumption that semantic encoders are unsuitable for reconstruction tasks and demonstrates that they can actually provide superior performance for image generation.

Replacing VAEs with pretrained representation encoders in Diffusion Transformers enhances generative quality and convergence speed without auxiliary losses.

Sources

Sources : huggingface

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