AI RESEARCH
AIBench: Evaluating Visual-Logical Consistency in Academic Illustration Generation
arXiv CS.CV
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ArXi:2603.28068v1 Announce Type: new Although image generation has boosted various applications via its rapid evolution, whether the state-of-the-art models are able to produce ready-to-use academic illustrations for papers is still largely unexplored. Directly comparing or evaluating the illustration with VLM is native but requires oracle multi-modal understanding ability, which is unreliable for long and complex texts and illustrations.