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Visual metaphors are powerful rhetorical devices used to persuade or communicate creative ideas through images.
Visual entailment: A novel task for fine-grained image understanding
Ning Xie, Farley Lai, Derek Doran, and Asim Kadav. 2019 · 1901
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Measuring nominal scale agreement among many raters
Joseph L Fleiss. 1971 · 1971
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The Contemporary Theory of Metaphor
George Lakoff. 1993 · 1993
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Visual Rhetoric in Advertising: Text-Interpretive, Experimental, and Reader-Response Analyses
Edward F. Mcquarrie and David Glen Mick. 1999 · 1999
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Understanding visual metaphor in advertising
Barbara J Phillips. 2003 · 2003
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Beyond Visual Metaphor: A New Typology of Visual Rhetoric in Advertising
Barbara J. Phillips and Edward F. McQuarrie. 2004 · 2004
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A computational model of the metaphor generation process
Keiga Abe, Sakamoto Kayo, and Masanori Nakagawa. 2006 · 2006
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A computational system of metaphor generation with evaluation mechanism
Asuka Terai and Masanori Nakagawa. 2010 · 2010
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An Empirical Study on the Role of Perceptual Similarity in Visual Metaphors and Creativity
Bipin Indurkhya and Amitash Ojha. 2013 · 2013
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Metaphor detection with cross-lingual model transfer
Yulia Tsvetkov, Leonid Boytsov, Anatole Gershman, Eric Nyberg, and Chris Dyer. 2014 · 2014
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Literal and metaphorical senses in compositional distributional semantic models
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Round up the usual suspects: Knowledge-based metaphor generation
Tony Veale. 2016 · 2016
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017 · 2017
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Automatic understanding of image and video advertisements
Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas, Zuha Agha, Nathan Ong, and Adriana Kovashka. 2017 · 2017
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Predicting human metaphor paraphrase judgments with deep neural networks
Yuri Bizzoni and Shalom Lappin. 2018 · 2018
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Collecting diverse natural language inference problems for sentence representation evaluation
Adam Poliak, Aparajita Haldar, Rachel Rudinger, J Edward Hu, Ellie Pavlick, Aaron Steven White, and Benjamin Van Durme. 2018 · 2018
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Visiblends: A flexible workflow for visual blends
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Visual metaphors and cognition: Revisiting the non-conceptual
Michalle Gal. 2019 · 2019
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Human errors in interpreting visual metaphor
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How to avoid sentences spelling boring? Towards a neural approach to unsupervised metaphor generation
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Generating similes effortlessly like a pro: A style transfer approach for simile generation
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How can we know what language models know?
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Underspecification in scene description-to-depiction tasks
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Language does more than describe: On the lack of figurative speech in text-to-image models
Ricardo Kleinlein, Cristina Luna-Jiménez, and Fernando Fernández-Martínez. 2022 · 2022
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Dall-e 2 fails to reliably capture common syntactic processes
Evelina Leivada, Elliot Murphy, and Gary Marcus. 2022 · 2022
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Design guidelines for prompt engineering text-to-image generative models
Vivian Liu and Lydia B Chilton. 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F Christiano, Jan Leike, and Ryan Lowe. 2022 · 2022
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The perils of using Mechanical Turk to evaluate open-ended text generation
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Learning transferable visual models from natural language supervision
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High-resolution image synthesis with latent diffusion models
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MultiMET: A multimodal dataset for metaphor understanding
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OFA: Unifying architectures, tasks, and modalities through a simple sequence-to-sequence learning framework
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Chain-of-thought prompting elicits reasoning in large language models
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Scaling autoregressive models for content-rich text-to-image generation
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Metaclue: Towards comprehensive visual metaphors research
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