T2I-ReasonBench: Benchmarking Reasoning-Informed Text-to-Image
  Generation
Authors: name: Kaiyue Sun, name: Rongyao Fang, name: Chengqi Duan, name: Xian Liu, name: Xihui Liu

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.