How well can Text-to-Image Generative Models understand Ethical Natural
Language Interventions?

How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?

27 October 2022

Masoud Monajatipoor

Papers citing "How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?"

14 / 14 papers shown

Title
Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models? Yunbo Lyu Zhou Yang Yuqing Niu Jing Jiang David Lo 37 1 0 28 Jan 2025
Continuous Concepts Removal in Text-to-image Diffusion Models Tingxu Han Weisong Sun Yanrong Hu Chunrong Fang Yonglong Zhang Shiqing Ma Tao Zheng Zhenyu Chen Zhenting Wang DiffM 112 2 0 30 Nov 2024
Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance Reyhane Askari Hemmat Melissa Hall Alicia Sun Candace Ross M. Drozdzal Adriana Romero Soriano 43 4 0 06 Jun 2024
Uncovering Bias in Large Vision-Language Models at Scale with Counterfactuals Phillip Howard Kathleen C. Fraser Anahita Bhiwandiwalla S. Kiritchenko 48 9 0 30 May 2024
GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling Hritik Bansal Po-Nien Kung P. Brantingham Weisheng Wang Miao Zheng VLM 32 1 0 07 Apr 2024
Multilingual Text-to-Image Generation Magnifies Gender Stereotypes and Prompt Engineering May Not Help You Felix Friedrich Katharina Hämmerl P. Schramowski Manuel Brack Jindrich Libovický Kristian Kersting Alexander M. Fraser EGVM 24 10 0 29 Jan 2024
ITI-GEN: Inclusive Text-to-Image Generation Cheng Zhang Xuanbai Chen Siqi Chai Chen Henry Wu Dmitry Lagun Thabo Beeler Fernando De la Torre VLM 30 52 0 11 Sep 2023
AI's Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia Rida Qadri Renee Shelby Cynthia L. Bennett Emily Denton 24 67 0 19 May 2023
A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified? Kathleen C. Fraser S. Kiritchenko I. Nejadgholi DiffM 29 36 0 14 Feb 2023
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness Felix Friedrich Manuel Brack Lukas Struppek Dominik Hintersdorf P. Schramowski Sasha Luccioni Kristian Kersting 29 119 0 07 Feb 2023
Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale Federico Bianchi Pratyusha Kalluri Esin Durmus Faisal Ladhak Myra Cheng Debora Nozza Tatsunori Hashimoto Dan Jurafsky James Y. Zou Aylin Caliskan DiffM VLM 31 288 0 07 Nov 2022
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning Da Yin Liunian Harold Li Ziniu Hu Nanyun Peng Kai-Wei Chang 88 52 0 14 Sep 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,777 0 24 Feb 2021
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts Soravit Changpinyo P. Sharma Nan Ding Radu Soricut VLM 275 1,081 0 17 Feb 2021