Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting

arXiv:2310.08129v3 Announce Type: replace
Abstract: Despite significant progress in the field, it is still challenging to create personalized visual representations that align closely with the desires and preferences of individual users. This process requires users to articulate their ideas in words that are both comprehensible to the models and accurately capture their vision, posing difficulties for many users. In this paper, we tackle this challenge by leveraging historical user interactions with the system to enhance user prompts. We propose a …

arxiv cs.cv image image generation personalized prompt text text-to-image type