This AI Paper Introduces MAETok: A Masked Autoencoder-Based Tokenizer for Efficient Diffusion Models

Diffusion models generate images by progressively refining noise into structured representations. However, the computational cost associated with these models remains a key challenge, particularly when operating directly on high-dimensional pixel data. Researchers have been investigating ways to optimize latent space representations to improve efficiency without compromising image quality. A critical problem in diffusion models is […]

The post This AI Paper Introduces MAETok: A Masked Autoencoder-Based Tokenizer for Efficient Diffusion Models appeared first on MarkTechPost.

Fonte: https://www.marktechpost.com/2025/02/08/this-ai-paper-introduces-maetok-a-masked-autoencoder-based-tokenizer-for-efficient-diffusion-models/

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