Introduces the StyleGender dataset and PixelSGA/MaskSGA metrics showing that text-to-image models amplify gender artifacts present in artistic styles beyond historical baselines.
Analysing gender bias in text-to-image models using object detection
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Gender Artifacts from Art History to Text-to-Image Generation
Introduces the StyleGender dataset and PixelSGA/MaskSGA metrics showing that text-to-image models amplify gender artifacts present in artistic styles beyond historical baselines.