NYU’s new AI architecture makes high-quality image generation faster and cheaper
via huggingface.co
Short excerpt below. Read at the original source.
Researchers at New York University have developed a new architecture for diffusion models that improves the semantic representation of the images they generate. “Diffusion Transformer with Representation Autoencoders” (RAE) challenges some of the accepted norms of building diffusion models. The NYU researcher’s model is more efficient and accurate than standard diffusion models, takes advantage of […]