Introduces DetailMaster, a 4,116-prompt benchmark with fine-grained evaluation of long-prompt text-to-image generation, finding that state-of-the-art models achieve only about 50% accuracy on attribute binding and spatial reasoning.
Hrs-bench: Holistic, reliable and scalable benchmark for text-to-image models
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DetailMaster: Can Your Text-to-Image Model Handle Long Prompts?
Introduces DetailMaster, a 4,116-prompt benchmark with fine-grained evaluation of long-prompt text-to-image generation, finding that state-of-the-art models achieve only about 50% accuracy on attribute binding and spatial reasoning.