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Culture-TRIP: Culturally-Aware Text-to-Image Generation with Iterative Prompt Refinement (2025.naacl-long)

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Challenge: Existing text-to-image models fail to produce appropriate images for cultural concepts or objects not well known or underrepresented in western cultures, such as 'hangari' (a Korean utensil).
Approach: They propose a method which iteratively refines the prompt to improve the alignment between the generated images and underrepresented cultural nouns in text-to-image models.
Outcome: The proposed approach improves the alignment between the generated images and cultural nouns in text-to-image models.

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