T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation

1 June 2023

Papers citing "T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation"

6 / 6 papers shown

Title
FairT2I: Mitigating Social Bias in Text-to-Image Generation via Large Language Model-Assisted Detection and Attribute Rebalancing Jinya Sakurai Issei Sato 74 0 0 06 Feb 2025
Muse: Text-To-Image Generation via Masked Generative Transformers Huiwen Chang Han Zhang Jarred Barber AJ Maschinot José Lezama ... Kevin Patrick Murphy William T. Freeman Michael Rubinstein Yuanzhen Li Dilip Krishnan DiffM 197 517 0 02 Jan 2023
Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis Lukas Struppek Dominik Hintersdorf Felix Friedrich Manuel Brack P. Schramowski Kristian Kersting 66 26 0 19 Sep 2022
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu Tianyi Luo Yang Liu 148 39 0 12 Oct 2021
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search Jialu Wang Yang Liu X. Wang FaML 155 95 0 12 Sep 2021
Improving the Fairness of Deep Generative Models without Retraining Shuhan Tan Yujun Shen Bolei Zhou 175 59 0 09 Dec 2020