🏔️ TIBET for Bias Detection

[ECCV 2024] TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models

Aditya Chinchure🔸, Pushkar Shukla🔸, Gaurav Bhatt, Kiri Salij, Kartik Hosanagar, Leonid Sigal, Matthew Turk (🔸 indicates equal contribution)

Dataset

The dataset is available to download here: TIBET Website. This dataset contains 100 prompts, and their associated bias axes, counterfactuals, and 48 images for each prompt and counterfactual generated using Stable Diffusion 2.1.

Code

TBA

News

• 🌟 Accepted to ECCV 2024!
• 📚 Paper available on arXiv

Citing our work

@misc{chinchure2023tibet,
      title={TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models}, 
      author={Aditya Chinchure and Pushkar Shukla and Gaurav Bhatt and Kiri Salij and Kartik Hosanagar and Leonid Sigal and Matthew Turk},
      year={2023},
      eprint={2312.01261},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2312.01261}, 
}