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.

Visual Conceptual Blending with Large-scale Language and Vision Models

**Title:** Computational filling of curatorial gaps in a fine arts exhibition 
**Presenter:** Arthur Flexer 
 **Title:** Framing through Music: A Pilot Study 
**Presenters:** Stephen James Krol, Teresa Llano and Cagatay Goncu 
 **Title:** Visual Conceptual Blending with Large-scale Language and Vision Models 
**Presenters:** SongweiGe and Devi Parikh 
 **Title:** What Does it Take to Cross the Aesthetic Gap? The Development of Image Aesthetic Quality Assessment in Computer Vision 
**Presenter:** Samuel Goree

Arts & Aesthetics 

technical paper

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Computational creativity is an interdisciplinary endeavor that is located at the intersection of the fields of artificial intelligence, cognitive psychology, philosophy, social sciences and the arts. The goal of computational creativity is to model, simulate or replicate creativity using a computer, to achieve one of several ends:

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Welcome to the Twelfth International Conference on Computational Creativity, ICCC’21!

Songwei Ge

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Visual Conceptual Blending with Large-scale Language and Vision Models

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