2025
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation
CVPR 2025poster
Uncertainty quantification in text-to-image (T2I) generative models is crucial for understanding model behavior and improving output reliability. In this paper, we are the first to quantify and evaluate the uncertainty of T2I models with respect to the prompt. Alongside adapting existing approaches…