FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models

28 May 2024

Papers citing "FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models"

8 / 8 papers shown

Title
Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective Xiangru Zhu Penglei Sun Yaoxian Song Yanghua Xiao Zhixu Li Chengyu Wang Jun Huang Bei Yang Xiaoxiao Xu EGVM 93 1 0 14 Oct 2024
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation Junsong Chen Chongjian Ge Enze Xie Yue Wu Lewei Yao Xiaozhe Ren Zhongdao Wang Ping Luo Huchuan Lu Zhenguo Li 128 85 0 07 Mar 2024
Adversarial Diffusion Distillation Axel Sauer Dominik Lorenz A. Blattmann Robin Rombach 138 326 0 28 Nov 2023
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module Simian Luo Yiqin Tan Suraj Patil Daniel Gu Patrick von Platen Apolinário Passos Longbo Huang Jian Li Hang Zhao MoMe 108 139 0 09 Nov 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 244 4,186 0 30 Jan 2023
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models Jaemin Cho Abhaysinh Zala Mohit Bansal ViT 132 167 0 08 Feb 2022
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,079 0 24 Oct 2016