The Bias Amplification Paradox in Text-to-Image Generation

1 August 2023

Papers citing "The Bias Amplification Paradox in Text-to-Image Generation"

32 / 32 papers shown

Title
On Linear Representations and Pretraining Data Frequency in Language Models Jack Merullo Noah A. Smith Sarah Wiegreffe Yanai Elazar 35 0 0 16 Apr 2025
A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models Leander Girrbach Stephan Alaniz Genevieve Smith Zeynep Akata 40 0 0 30 Mar 2025
Attention IoU: Examining Biases in CelebA using Attention Maps Aaron Serianni Tyler Zhu Olga Russakovsky V. V. Ramaswamy 45 0 0 25 Mar 2025
Concept-as-Tree: Synthetic Data is All You Need for VLM Personalization Ruichuan An Kai Zeng Ming Lu Sihan Yang Renrui Zhang Huitong Ji Qizhe Zhang Y. Luo Hao Liang Wentao Zhang 65 0 0 17 Mar 2025
BiasConnect: Investigating Bias Interactions in Text-to-Image Models Pushkar Shukla Aditya Chinchure Emily Diana A. Tolbert K. Hosanagar Vineeth N. Balasubramanian Leonid Sigal Matthew A. Turk 51 0 0 12 Mar 2025
Exploring Bias in over 100 Text-to-Image Generative Models J. Vice Naveed Akhtar Richard I. Hartley Ajmal Saeed Mian EGVM 67 3 0 11 Mar 2025
Measuring directional bias amplification in image captions using predictability Rahul Nair Bhanu Tokas Neel Shah Hannah Kerner 48 0 0 10 Mar 2025
T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation Lijun Li Zhelun Shi Xuhao Hu Bowen Dong Yiran Qin Xihui Liu Lu Sheng Jing Shao 114 1 0 21 Feb 2025
Ethical-Lens: Curbing Malicious Usages of Open-Source Text-to-Image Models Yuzhu Cai Sheng Yin Yuxi Wei Chenxin Xu Weibo Mao Felix Juefei Xu Siheng Chen Yanfeng Wang EGVM 84 2 0 03 Jan 2025
Provable Uncertainty Decomposition via Higher-Order Calibration Gustaf Ahdritz Aravind Gollakota Parikshit Gopalan Charlotte Peale Udi Wieder UD UQCV PER 49 1 0 25 Dec 2024
GRADE: Quantifying Sample Diversity in Text-to-Image Models Royi Rassin Aviv Slobodkin Shauli Ravfogel Yanai Elazar Yoav Goldberg 91 1 0 29 Oct 2024
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs) Leander Girrbach Yiran Huang Stephan Alaniz Trevor Darrell Zeynep Akata VLM 47 2 0 25 Oct 2024
Image-Perfect Imperfections: Safety, Bias, and Authenticity in the Shadow of Text-To-Image Model Evolution Yixin Wu Yun Shen Michael Backes Yang Zhang 42 1 0 30 Aug 2024
GradBias: Unveiling Word Influence on Bias in Text-to-Image Generative Models Moreno DÍncà E. Peruzzo Massimiliano Mancini Xingqian Xu Humphrey Shi N. Sebe 39 0 0 29 Aug 2024
Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models P. W. Shin Jihyun Janice Ahn Wenpeng Yin Jack Sampson Vijaykrishnan Narayanan 30 3 0 09 Jun 2024
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance Vishaal Udandarao Ameya Prabhu Adhiraj Ghosh Yash Sharma Philip H. S. Torr Adel Bibi Samuel Albanie Matthias Bethge VLM 126 45 0 04 Apr 2024
Would Deep Generative Models Amplify Bias in Future Models? Tianwei Chen Yusuke Hirota Mayu Otani Noa Garcia Yuta Nakashima 42 12 0 04 Apr 2024
A Picture is Worth 500 Labels: A Case Study of Demographic Disparities in Local Machine Learning Models for Instagram and TikTok Jack West Lea Thiemt Shimaa Ahmed Maggie Bartig Kassem Fawaz Suman Banerjee 34 4 0 27 Mar 2024
Position: Towards Implicit Prompt For Text-To-Image Models Yue Yang Yuqi Lin Hong Liu Wenqi Shao Runjian Chen Hailong Shang Yu Wang Yu Qiao Kaipeng Zhang Ping Luo EGVM VLM 39 2 0 04 Mar 2024
FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware Distribution Qi Zhou Donghai Hong Tianlin Li Zhihong Xu Yang Liu Kui Ren Wenhai Wang Qing-Wu Guo AAML DiffM 16 2 0 06 Feb 2024
Quantifying Bias in Text-to-Image Generative Models J. Vice Naveed Akhtar Richard I. Hartley Ajmal Saeed Mian 25 10 0 20 Dec 2023
Stable Diffusion Exposed: Gender Bias from Prompt to Image Yankun Wu Yuta Nakashima Noa Garcia 28 16 0 05 Dec 2023
TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models Aditya Chinchure Pushkar Shukla Gaurav Bhatt Kiri Salij K. Hosanagar Leonid Sigal Matthew A. Turk 21 22 0 03 Dec 2023
Finetuning Text-to-Image Diffusion Models for Fairness Xudong Shen Chao Du Tianyu Pang Min-Bin Lin Yongkang Wong Mohan S. Kankanhalli 26 50 0 11 Nov 2023
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic Segmentation Quang H. Nguyen T. Vu Anh Tran Kim Dan Nguyen DiffM 27 83 0 25 Sep 2023
Unified Concept Editing in Diffusion Models Rohit Gandikota Hadas Orgad Yonatan Belinkov Joanna Materzyñska David Bau DiffM 44 166 0 25 Aug 2023
Social Biases through the Text-to-Image Generation Lens Ranjita Naik Besmira Nushi 107 113 0 30 Mar 2023
Underspecification in Scene Description-to-Depiction Tasks Ben Hutchinson Jason Baldridge Vinodkumar Prabhakaran DiffM 66 32 0 11 Oct 2022
Quantifying Social Biases Using Templates is Unreliable P. Seshadri Pouya Pezeshkpour Sameer Singh 51 33 0 09 Oct 2022
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models Jaemin Cho Abhaysinh Zala Joey Tianyi Zhou ViT 145 170 0 08 Feb 2022
A Systematic Study of Bias Amplification Melissa Hall L. V. D. van der Maaten Laura Gustafson Maxwell Jones Aaron B. Adcock 102 70 0 27 Jan 2022
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 253 1,989 0 31 Dec 2020