Generated Bias: Auditing Internal Bias Dynamics of Text-To-Image Generative Models

10 October 2024

Papers citing "Generated Bias: Auditing Internal Bias Dynamics of Text-To-Image Generative Models"

6 / 6 papers shown

Title
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 Fraser EGVM 118 14 0 29 Jan 2024
TIBET: Identifying and Evaluating Biases in Text-to-Image Generative Models Aditya Chinchure Pushkar Shukla Gaurav Bhatt Kiri Salij K. Hosanagar Leonid Sigal Matthew Turk 71 29 0 03 Dec 2023
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 425 6,921 0 13 Apr 2022
High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach A. Blattmann Dominik Lorenz Patrick Esser Bjorn Ommer 3DV 508 15,788 0 20 Dec 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 1.0K 29,926 0 26 Feb 2021
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics Ignacio Serna Alejandro Peña Aythami Morales Julian Fierrez CVBM 101 62 0 14 Apr 2020