T2I-ReasonBench：推理引导文本到图像生成的基准测试

摘要

我们提出了T2I-ReasonBench，这是一个评估文本到图像（T2I）模型推理能力的基准。该基准包含四个维度：成语理解、文本图像设计、实体推理和科学推理。我们设计了一个两阶段的评估协议，用以衡量推理准确性和图像质量。我们对多种T2I生成模型进行了基准测试，并对其表现进行了全面分析。

English

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.

T2I-ReasonBench：推理引导文本到图像生成的基准测试

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

摘要

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