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20242026
most citedInteractive Discovery and Exploration of Visual Bias in Generative Text-to-Image Models

2 citations · 2 across the 5 of their papers we have counts for

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cs.HC2025

Scalable Class-Centric Visual Interactive Labeling

Matthias Matt, Jana Sedlakova, Jürgen Bernard +2

Large unlabeled datasets demand efficient and scalable data labeling solutions, in particular when the number of instances and classes is large. This leads to significant visual sc…

cs.HC2025★ 2 cited

Interactive Discovery and Exploration of Visual Bias in Generative Text-to-Image Models

Johannes Eschner, Roberto Labadie-Tamayo, Matthias Zeppelzauer +1

Bias in generative Text-to-Image (T2I) models is a known issue, yet systematically analyzing such models' outputs to uncover it remains challenging. We introduce the Visual Bias Ex…