A new 60-prompt benchmark shows most text-to-image models under-represent demographic groups, while LLM-guided diversification methods improve diversity without overcorrecting contextually specified attributes.
Fair diffusion: Instructing text-to-image generation models on fairness.AI and Ethics, 2024
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Beyond Overcorrection: Evaluating Diversity in T2I Models with DivBench
A new 60-prompt benchmark shows most text-to-image models under-represent demographic groups, while LLM-guided diversification methods improve diversity without overcorrecting contextually specified attributes.