Measuring Style Similarity in Diffusion Models

arXiv:2404.01292v1 Announce Type: cross
Abstract: Generative models are now widely used by graphic designers and artists. Prior works have shown that these models remember and often replicate content from their training data during generation. Hence as their proliferation increases, it has become important to perform a database search to determine whether the properties of the image are attributable to specific training data, every time before a generated image is used for professional purposes. Existing tools for this purpose focus on …

arxiv cs.cv cs.lg diffusion diffusion models measuring style type