Analyzing Quality, Bias, and Performance in Text-to-Image Generative Models

28 June 2024

Papers citing "Analyzing Quality, Bias, and Performance in Text-to-Image Generative Models"

7 / 7 papers shown

Title
An Online Learning Approach to Prompt-based Selection of Generative Models Xiaoyan Hu Ho-fung Leung Farzan Farnia 29 2 0 17 Oct 2024
OpenBias: Open-set Bias Detection in Text-to-Image Generative Models Moreno DÍncà E. Peruzzo Massimiliano Mancini Dejia Xu Vidit Goel Xingqian Xu Zhangyang Wang Humphrey Shi N. Sebe 45 31 0 11 Apr 2024
Holistic Evaluation of Text-To-Image Models Tony Lee Michihiro Yasunaga Chenlin Meng Yifan Mai Joon Sung Park ... Jun-Yan Zhu Fei-Fei Li Jiajun Wu Stefano Ermon Percy Liang 128 124 0 07 Nov 2023
Multimodal Procedural Planning via Dual Text-Image Prompting Yujie Lu Pan Lu Zhiyu Zoey Chen Wanrong Zhu X. Wang William Yang Wang LM&Ro 48 43 0 02 May 2023
Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2 Ali Borji DiffM 53 117 0 02 Oct 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014