GPT-Image-Edit — Benchmark Results

This repository contains evaluation results of GPT-Image-Edit across four standard image-editing benchmarks. All scores were computed using the official evaluation scripts provided by each benchmark.

📊 Benchmarks

📚 Citation

If you use these benchmark results, please cite our paper:

✏️ Citing

@misc{wang2025gptimageedit15mmillionscalegptgeneratedimage,
      title={GPT-IMAGE-EDIT-1.5M: A Million-Scale, GPT-Generated Image Dataset},
      author={Yuhan Wang and Siwei Yang and Bingchen Zhao and Letian Zhang and Qing Liu and Yuyin Zhou and Cihang Xie},
      year={2025},
      eprint={2507.21033},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2507.21033},
}