title: Prompt Expansion for Adaptive Text-to-Image Generation
summary: Text-to-image generation models are powerful but difficult to use. Users
  craft specific prompts to get better images, though the images can be
  repetitive. This paper proposes a Prompt Expansion framework that helps users
  generate high-quality, diverse images with less effort. The Prompt Expansion
  model takes a text query as input and outputs a set of expanded text prompts
  that are optimized such that when passed to a text-to-image model, generates a
  wider variety of appealing images. We conduct a human evaluation study that
  shows that images generated through Prompt Expansion are more aesthetically
  pleasing and diverse than those generated by baseline methods. Overall, this
  paper presents a novel and effective approach to improving the text-to-image
  generation experience.
paper_authors._id: 658e3dfb3f3faee8ecab2d4e
paper_authors.name: Siddhartha Datta
paper_authors._id: 658e3dfb3f3faee8ecab2d4f
paper_authors.name: Alexander Ku
paper_authors._id: 658e3dfb3f3faee8ecab2d50
paper_authors.name: Deepak Ramachandran
paper_authors._id: 658e3dfb3f3faee8ecab2d51
paper_authors.name: Peter Anderson
paper_title: Prompt Expansion for Adaptive Text-to-Image Generation
paper_summary: Text-to-image generation models are powerful but difficult to use. Users
  craft specific prompts to get better images, though the images can be
  repetitive. This paper proposes a Prompt Expansion framework that helps users
  generate high-quality, diverse images with less effort. The Prompt Expansion
  model takes a text query as input and outputs a set of expanded text prompts
  that are optimized such that when passed to a text-to-image model, generates a
  wider variety of appealing images. We conduct a human evaluation study that
  shows that images generated through Prompt Expansion are more aesthetically
  pleasing and diverse than those generated by baseline methods. Overall, this
  paper presents a novel and effective approach to improving the text-to-image
  generation experience.