[R] DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Paper: [https://arxiv.org/abs/2208.12242](https://arxiv.org/abs/2208.12242)

Website: [https://dreambooth.github.io/](https://dreambooth.github.io/)

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Abstract

>Large text-to-image models achieved a remarkable leap in the evolution of AI, enabling high-quality and diverse synthesis of images from a given text prompt. However, these models lack the ability to mimic the appearance of subjects in a given reference set and synthesize novel renditions of them in different contexts. In this work, we present a new approach for \`\`personalization'' of text-to-image diffusion models (specializing them to users' needs). Given as input just …

diffusion diffusion models generation image machinelearning text text-to-image