computer-vision-7
Multilingual Text-to-Image Generation
3260 papers • 126 benchmarks • 313 datasets
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Most implemented papers
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You
P. Schramowski, Felix Friedrich, K. Kersting, Jindřich Libovický, Katharina Hämmerl, Alexander Fraser•Sun Jan 28 2024
The effect of multilingualism on gender bias in T2I models is investigated by constructing multilingual prompts requesting portraits of people with a certain occupation or trait, and the results show that not only do models exhibit strong gender biases but they also behave differently across languages.