title: Generating Illustrated Instructions
summary: We introduce the new task of generating Illustrated Instructions, i.e.,
  visual instructions customized to a user's needs. We identify desiderata unique
  to this task, and formalize it through a suite of automatic and human
  evaluation metrics, designed to measure the validity, consistency, and efficacy
  of the generations. We combine the power of large language models (LLMs)
  together with strong text-to-image generation diffusion models to propose a
  simple approach called StackedDiffusion, which generates such illustrated
  instructions given text as input. The resulting model strongly outperforms
  baseline approaches and state-of-the-art multimodal LLMs; and in 30% of cases,
  users even prefer it to human-generated articles. Most notably, it enables
  various new and exciting applications far beyond what static articles on the
  web can provide, such as personalized instructions complete with intermediate
  steps and pictures in response to a user's individual situation.
paper_authors._id: 65727e599a5c2d6df9f257cd
paper_authors.name: Sachit Menon
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-12-08T10:58:13.690Z
paper_authors._id: 62fbbfaa7a577e83ccccbffb
paper_authors.avatarUrl: /avatars/f4e8cf1e9145a1df39082544eb709264.svg
paper_authors.fullname: Sachit Menon
paper_authors.type: user
paper_authors.user: sachit-menon
paper_authors._id: 65727e599a5c2d6df9f257ce
paper_authors.name: Ishan Misra
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-12-08T10:58:20.906Z
paper_authors._id: 63faa5b04380ab0cb9577a57
paper_authors.avatarUrl: /avatars/c71be0acb0553671c9703654e998cbd5.svg
paper_authors.fullname: Ishan Misra
paper_authors.type: user
paper_authors.user: hayhay404
paper_authors._id: 65727e599a5c2d6df9f257cf
paper_authors.name: Rohit Girdhar
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2023-12-08T10:58:27.544Z
paper_authors._id: 63c6c737656e7822e23732d8
paper_authors.avatarUrl: /avatars/3cf062864dbf2b5423eb1f4beaeec1ea.svg
paper_authors.fullname: Rohit Girdhar
paper_authors.type: user
paper_authors.user: rgirdhar
paper_title: Generating Illustrated Instructions
paper_summary: We introduce the new task of generating Illustrated Instructions, i.e.,
  visual instructions customized to a user's needs. We identify desiderata unique
  to this task, and formalize it through a suite of automatic and human
  evaluation metrics, designed to measure the validity, consistency, and efficacy
  of the generations. We combine the power of large language models (LLMs)
  together with strong text-to-image generation diffusion models to propose a
  simple approach called StackedDiffusion, which generates such illustrated
  instructions given text as input. The resulting model strongly outperforms
  baseline approaches and state-of-the-art multimodal LLMs; and in 30% of cases,
  users even prefer it to human-generated articles. Most notably, it enables
  various new and exciting applications far beyond what static articles on the
  web can provide, such as personalized instructions complete with intermediate
  steps and pictures in response to a user's individual situation.
paper_ai_keywords: large language models (LLMs) text-to-image generation diffusion models StackedDiffusion multimodal LLMs