OSTAF: A One-Shot Tuning Method for Improved Attribute-Focused T2I Personalization

arXiv:2403.11053v1 Announce Type: new
Abstract: Personalized text-to-image (T2I) models not only produce lifelike and varied visuals but also allow users to tailor the images to fit their personal taste. These personalization techniques can grasp the essence of a concept through a collection of images, or adjust a pre-trained text-to-image model with a specific image input for subject-driven or attribute-aware guidance. Yet, accurately capturing the distinct visual attributes of an individual image poses a challenge for these methods. To address this …

abstract arxiv collection concept cs.cv image images personalization personalized text text-to-image through type visuals