Visual metaphors are essential tools in communication, often used to subtly suggest a particular view or idea through symbolic imagery. This recent study presents a pioneering task: creating visual metaphors using AI, specifically leveraging large language models in cooperation with diffusion models.

This innovative study proposes:\n- Generating visual metaphors from textual descriptions.\n- Utilizing AI in the form of LLMs (like GPT-3) and diffusion models (like DALL-E 2).\n- Implementing Chain-of-Thought prompting to guide GPT-3 in generating relevant textual concepts that serve as inputs for diffusion-based text-to-image models.\n- Creating a high-quality dataset of 6,476 visual metaphors.\n- Conducting comprehensive evaluations, including professional illustrators’ reviews and an extrinsic evaluation with visual entailment as a downstream task.

In essence, this research illustrates the potential of AI in enhancing the creative process, opening new avenues in digital art and design. The implications of such technology are vast, potentially transforming industries like advertising, education, and even digital humanities. The ability to automatically generate intricate and meaningful designs could revolutionize how we interpret and produce art in the digital age.