ColorConceptBench shows leading text-to-image models lack sensitivity to abstract semantic color associations even with guidance scaling.
This choice enables us to evaluate if the model captures the colors of concepts universally, or if its performance is biased towards a specific visual style
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ColorConceptBench: A Benchmark for Probabilistic Color-Concept Understanding in Text-to-Image Models
ColorConceptBench shows leading text-to-image models lack sensitivity to abstract semantic color associations even with guidance scaling.