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Text-to-Image (T2I) generative models are becoming increasingly crucial due to their ability to generate high-quality images, but also raise concerns about social biases, particularly in human image generation.
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Intermarriage in the US: 50 years after loving V. Virginia
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Tensorrt inference with tensorflow
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Bertram Gawronski. 2019 · 2019
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Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation
Kimmo Karkkainen and Jungseock Joo. 2021 · 2021
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Rectifying the data bias in knowledge distillation
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A survey on bias and fairness in machine learning
Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, and Aram Galstyan. 2021 · 2021
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Learning transferable visual models from natural language supervision
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How well can text-to-image generative models understand ethical natural language interventions?
Hritik Bansal, Da Yin, Masoud Monajatipoor, and Kai-Wei Chang. 2022 · 2022
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Sdxl: Improving latent diffusion models for high-resolution image synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach. 2023 · 2023
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Adversarial diffusion distillation
Axel Sauer, Dominik Lorenz, Andreas Blattmann, and Robin Rombach. 2023 · 2023
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Finetuning text-to-image diffusion models for fairness
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al. 2023 · 2023
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
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World population prospects 2022: Summary of results
Department of Economic United Nations and Population Division Social Affairs. 2022 · 2022
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Discrimination, bias, fairness, and trustworthy ai
Daniel Varona and Juan Luis Suárez. 2022 · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
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Hrs-bench: Holistic, reliable and scalable benchmark for text-to-image models
Eslam Mohamed Bakr, Pengzhan Sun, Xiaogian Shen, Faizan Farooq Khan, Li Erran Li, and Mohamed Elhoseiny. 2023 · 2023
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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 Zou, and Aylin Caliskan. 2023 · 2023
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Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, and Xiaokang Yang. 2023 · 2023
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Renaissance: A survey into ai text-to-image generation in the era of large model
Fengxiang Bie, Yibo Yang, Zhongzhu Zhou, Adam Ghanem, Minjia Zhang, Zhewei Yao, Xiaoxia Wu, Connor Holmes, Pareesa Golnari, David A Clifton, et al. 2024 · 2024
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Employed persons by detailed occupation and age : U.S. Bureau of Labor Statistics — bls.gov
the BLS. 2023 · 2024
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Interpersonal and computer-mediated competence for prejudice reduction: Learning to interact digitally and physically during the pandemic
BC Bouchillon. 2024 · 2024
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Full-Time, Year-Round Workers & Median Earnings by Sex & Occupation — census.gov
the Census Bureau. 2022 · 2024
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Precisedebias: An automatic prompt engineering approach for generative ai to mitigate image demographic biases
Colton Clemmer, Junhua Ding, and Yunhe Feng. 2024 · 2024
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Understanding bias: A resource guide
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Scaling rectified flow transformers for high-resolution image synthesis
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Online images amplify gender bias
Douglas Guilbeault, Solène Delecourt, Tasker Hull, Bhargav Srinivasa Desikan, Mark Chu, and Ethan Nadler. 2024 · 2024
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Minicpm: Unveiling the potential of small language models with scalable training strategies
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SafeGen: Mitigating Sexually Explicit Content Generation in Text-to-Image Models
Xinfeng Li, Yuchen Yang, Jiangyi Deng, Chen Yan, Yanjiao Chen, Xiaoyu Ji, and Wenyuan Xu. 2024b · 2024
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Sdxl-lightning: Progressive adversarial diffusion distillation
Shanchuan Lin, Anran Wang, and Xiao Yang. 2024 · 2024
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Ms-swift: Modelscope’s solution for fine-tuning large models
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What is left after distillation? how knowledge transfer impacts fairness and bias
Aida Mohammadshahi and Yani Ioannou. 2024 · 2024
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Balanced self-distillation for long-tailed recognition
Ning Ren, Xiaosong Li, Yanxia Wu, and Yan Fu. 2024 · 2024
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Fairrag: Fair human generation via fair retrieval augmentation
Robik Shrestha, Yang Zou, Qiuyu Chen, Zhiheng Li, Yusheng Xie, and Siqi Deng. 2024 · 2024
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Sdxs: Real-time one-step latent diffusion models with image conditions
Yuda Song, Zehao Sun, and Xuanwu Yin. 2024 · 2024
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Ai image generator stable diffusion perpetuates racial and gendered stereotypes, study finds
Stefan Milne. 2023 · 2025
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