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Aniket Rege, Zinnia Nie, Mahesh Ramesh, Unmesh Raskar, Zhuoran Yu, Aditya Kusupati, Yong Jae Lee, Ramya Korlakai Vinayak

Instructions to prepare the benchmark dataset are provided in prepare_data/

T2I inference, metric computation on generated images, and plotting code is provided in experiments/ - Coming Soon

Details on designing and launching the user study with Qualtrics and Prolific respectively are provided in user_study/ - Coming Soon

Citation

If you find our work useful in your research, please consider citing:

@misc{rege2025cure,
      title={CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems}, 
      author={Aniket Rege and Zinnia Nie and Mahesh Ramesh and Unmesh Raskar and Zhuoran Yu and Aditya Kusupati and Yong Jae Lee and Ramya Korlakai Vinayak},
      year={2025},
      eprint={2506.08071},
      url={https://arxiv.org/abs/2506.08071}, 
}

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Code repository for the paper - "CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems"

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