mair-lab/CulturalFrames

CulturalFrames: Assessing Cultural Expectation Alignment in Text-to-Image Models and Evaluation Metrics The increasing ubiquity of text-to-image (T2I) models as tools for visual content generation raises concerns about their ability to accurately represent diverse cultural contexts. In this work, we present the first study to systematically quantify the alignment of T2I models and evaluation metrics with respect to both explicit (stated) and implicit (unstated, implied) cultural… See the full description on the dataset page: https://huggingface.co/datasets/mair-lab/CulturalFrames.

<iframe src="https://silytics.si/embed/item/754f5909-22b4-47d4-a47c-9cccdbe06cfb" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.