This article introduces PaperBanana, a multi‑agent AI framework that automates the creation of academic illustration by retrieving references, planning descriptions, styling, visualizing, and iteratively refining images, and evaluates its performance on the new PaperBananaBench benchmark against existing baselines.
The article demonstrates how Nano Banana Pro, a generative AI drawing tool, can rapidly prototype research figures and transform textual descriptions into clear logical diagrams, dramatically improving visualization efficiency while adhering to academic aesthetic standards.
The article demonstrates how GPT‑4 and Midjourney can be combined to interpret and visually render Level 10 classical Chinese poems—such as Li Bai’s “将进酒” and Du Fu’s “茅屋为秋风所破歌”—through a step‑by‑step prompt‑engineering workflow that produces exaggerated, abstract 16:9 images, comic‑strip scenes, and animated frames, while discussing the educational benefits and risks of AI‑generated illustrations.
