AI RESEARCH
An Improved Method for Personalizing Diffusion Models
arXiv CS.CV
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ArXi:2407.05312v2 Announce Type: replace Diffusion models have nstrated impressive image generation capabilities. Personalized approaches, such as textual inversion and Dreambooth, enhance model individualization using specific images. These methods enable generating images of specific objects based on diverse textual contexts. Our proposed approach aims to retain the model's original knowledge during new information integration, resulting in superior outcomes while necessitating less