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arXiv · 2508.17472

T2I-ReasonBench: Benchmarking Reasoning-Informed Text-to-Image Generation

Kaiyue Sun·Rongyao Fang·Chengqi Duan·Xian Liu·Xihui Liu
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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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Kaiyue Sun, Rongyao Fang, Chengqi Duan, Xian Liu, Xihui Liu. 2025-08-24. T2I-ReasonBench: Benchmarking Reasoning-Informed Text-to-Image Generation. https://arxiv.org/abs/2508.17472

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