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Visual Conceptual Blending with Large-scale Language and Vision Models

2021-06-27 02:48:39
Songwei Ge, Devi Parikh
arXiv_AI
     
Abstract

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.

Abstract (translated)

URL

https://arxiv.org/abs/2106.14127

PDF

https://arxiv.org/pdf/2106.14127.pdf

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