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T2I-ReasonBench: Benchmarking Reasoning-Informed Text-to-Image Generation
Published 24 Aug 2025 in cs.CV | (2508.17472v1)
Abstract: We propose T2I-ReasonBench, a benchmark evaluating reasoning capabilities of text-to-image (T2I) models. It consists of four dimensions: Idiom Interpretation, Textual Image Design, Entity-Reasoning and Scientific-Reasoning. We propose a two-stage evaluation protocol to assess the reasoning accuracy and image quality. We benchmark various T2I generation models, and provide comprehensive analysis on their performances.
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