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Visual Conceptual Blending with Large-scale Language and Vision Models

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 نشر من قبل Songwei Ge
 تاريخ النشر 2021
  مجال البحث الهندسة المعلوماتية
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We ask the question: to what extent can recent large-scale language and image generation models blend visual concepts? Given an arbitrary object, we identify a relevant object and generate a single-sentence description of the blend of the two using a language model. We then generate a visual depiction of the blend using a text-based image generation model. Quantitative and qualitative evaluations demonstrate the superiority of language models over classical methods for conceptual blending, and of recent large-scale image generation models over prior models for the visual depiction.



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