🧠 R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation

🌟Official repository for the paper: ⭐️R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation⭐️

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🌈 Overview: Reasoning in Image Generation

We introduce Logo R2I-Bench , a comprehensive benchmark designed to assess the reasoning capabilities of text-to-image (T2I) generation models.

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🚀 Get Started

📦 Installation

Clone the repository:

git clone https://github.com/PLUM-Lab/R2I-Bench
cd R2I-Bench

💡 Make sure you have Python ≥ 3.8 and install dependencies listed in requirements.txt.

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🖼️ Generation

Run the generation script:

python generation.py

This will produce model-generated images based on reasoning-oriented prompts.

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📊 Evaluation

To evaluate generated results:

python evaluation.py

🎈 Contact

2252538@tongji.edu.cn

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📌 Citation

🎀 If you find this repository helpful in your research or applications, please consider citing:

@misc{chen2025r2ibenchbenchmarkingreasoningdriventexttoimage,
  title={R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation}, 
  author={Kaijie Chen and Zihao Lin and Zhiyang Xu and Ying Shen and Yuguang Yao and Joy Rimchala and Jiaxin Zhang and Lifu Huang},
  year={2025},
  eprint={2505.23493},
  archivePrefix={arXiv},
  primaryClass={cs.CV},
  url={https://arxiv.org/abs/2505.23493}
}