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SVG-T2I: Scaling Up Text-to-Image Latent Diffusion Model Without Variational Autoencoder

Intermediate

Minglei Shi, Haolin Wang et al.Dec 12arXiv

This paper shows you can train a big text-to-image diffusion model directly on the features of a vision foundation model (like DINOv3) without using a VAE.

#text-to-image#diffusion transformer#flow matching

Papers1

SVG-T2I: Scaling Up Text-to-Image Latent Diffusion Model Without Variational Autoencoder