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What is Dtra about?

This document presents a novel approach to Diffusion Transformers (DiT) by introducing Representation Autoencoders (RAEs) that replace traditional VAE encoders with pretrained representation encoders, enhancing generative modeling capabilities. The authors demonstrate that RAEs achieve superior image generation quality and faster convergence on ImageNet compared to VAE-based models, while also addressing challenges related to high-dimensional latent spaces. The findings suggest that RAEs should become the n

Author

Yixun Hu

Language

EN