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Text-to-image generation models have recently achieved astonishing results in image quality, flexibility, and text alignment, and are consequently employed in a fast-growing number of applications.
Markedness: Iconicity, economy, and frequency
Joan L. Bybee. 2010 · 2010
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The Chicago face database: A free stimulus set of faces and norming data
Debbie S. Ma, Joshua Correll, and Bernd Wittenbrink. 2015 · 2015
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Man is to computer programmer as woman is to homemaker? debiasing word embeddings
Tolga Bolukbasi, Kai-Wei Chang, James Zou, Venkatesh Saligrama, and Adam Kalai. 2016 · 2016
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Semantics derived automatically from language corpora contain human-like biases
Aylin Caliskan, Joanna J. Bryson, and Arvind Narayanan. 2017 · 2017
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Fairness in machine learning: Lessons from political philosophy
Reuben Binns. 2018 · 2018
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The misgendering machines: Trans/HCI implications of automatic gender recognition
Os Keyes. 2018 · 2018
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UDPipe 2.0 prototype at CoNLL 2018 UD shared task
Milan Straka. 2018 · 2018
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Fairness definitions explained
Sahil Verma and Julia Rubin. 2018 · 2018
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FairGAN: Fairness-aware generative adversarial networks
Depeng Xu, Shuhan Yuan, Lu Zhang, and Xintao Wu. 2018 · 2018
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Massively multilingual sentence embeddings for zero-shot cross-lingual transfer and beyond
Mikel Artetxe and Holger Schwenk. 2019 · 2019
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Grammatical gender in German influences how role-nouns are interpreted: Evidence from ERPs
Asifa Majid Julia Misersky and Tineke M. Snijders. 2019 · 2019
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It’s all in the name: Mitigating gender bias with name-based counterfactual data substitution
Rowan Hall Maudslay, Hila Gonen, Ryan Cotterell, and Simone Teufel. 2019 · 2019
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Unmasking contextual stereotypes: Measuring and mitigating BERT’s gender bias
Marion Bartl, Malvina Nissim, and Albert Gatt. 2020 · 2020
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SimAlign: High quality word alignments without parallel training data using static and contextualized embeddings
Masoud Jalili Sabet, Philipp Dufter, François Yvon, and Hinrich Schütze. 2020 · 2020
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Monolingual and multilingual reduction of gender bias in contextualized representations
Sheng Liang, Philipp Dufter, and Hinrich Schütze. 2020 · 2020
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Gender bias in multilingual embeddings and cross-lingual transfer
Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang, and Ahmed Hassan Awadallah. 2020 · 2020
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Evaluating CLIP: Towards characterization of broader capabilities and downstream implications
Sandhini Agarwal, Gretchen Krueger, Jack Clark, Alec Radford, Jong Wook Kim, and Miles Brundage. 2021 · 2021
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Understanding and mitigating annotation bias in facial expression recognition
Yunliang Chen and Jungseock Joo. 2021 · 2021
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CLIPScore: A reference-free evaluation metric for image captioning
Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, and Yejin Choi. 2021 · 2021
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FairFace: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation
Kimmo Kärkkäinen and Jungseock Joo. 2021 · 2021
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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
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, Gretchen Krueger, and Ilya Sutskever. 2021 · 2021
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mT5: A massively multilingual pre-trained text-to-text transformer
Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, and Colin Raffel. 2021 · 2021
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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
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
Cited alongside, same era.
Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gontijo-Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J. Fleet, and Mohammad Norouzi. 2022 · 2022
Cited alongside, same era.
Worst of both worlds: Biases compound in pre-trained vision-and-language models
Tejas Srinivasan and Yonatan Bisk. 2022 · 2022
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Occupational biases in Norwegian and multilingual language models
Samia Touileb, Lilja Øvrelid, and Erik Velldal. 2022 · 2022
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Grambank reveals global patterns in the structural diversity of the world’s languages
Hedvig Skirgård, Hannah J. Haynie, Damián E. Blasi, Harald Hammarström, Jeremy Collins, Jay J. Latarche, Jakob Lesage, Tobias Weber, Alena Witzlack-Makarevich, Sam Passmore, Angela Chira, Luke Maurits, Russell Dinnage, Michael Dunn, Ger Reesink, Ruth Singer, Claire Bowern, Patience Epps, Jane Hill, Outi Vesakoski, Martine Robbeets, Noor Karolin Abbas, and et al. 2023 · 2023
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Exploiting cultural biases via homoglyphs in text-to-image synthesis
Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, and Kristian Kersting. 2023 · 2023
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Democratizing neural machine translation with OPUS-MT
Jörg Tiedemann, Mikko Aulamo, Daria Bakshandaeva, Michele Boggia, Stig-Arne Grönroos, Tommi Nieminen, Alessandro Raganato, Yves Scherrer, Raul Vazquez, and Sami Virpioja. 2023 · 2023
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Gender identification beyond the binary and its consequences for social well-being
Miriam Ines Wickham, Félice van Nunspeet, and Naomi Ellemers. 2023 · 2023
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Contrastive language-vision AI models pretrained on web-scraped multimodal data exhibit sexual objectification bias
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Scaling autoregressive models for content-rich text-to-image generation
Jiahui Yu, Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, Ben Hutchinson, Wei Han, Zarana Parekh, Xin Li, Han Zhang, Jason Baldridge, and Yonghui Wu. 2022 · 2022
Cited alongside, same era.
Towards robust blind face restoration with codebook lookup transformer
Shangchen Zhou, Kelvin C.K. Chan, Chongyi Li, and Chen Change Loy. 2022 · 2022
Cited alongside, same era.
Multifusion: Fusing pre-trained models for multi-lingual, multi-modal image generation
Marco Bellagente, Manuel Brack, Hannah Teufel, Felix Friedrich, Björn Deiseroth, Constantin Eichenberg, Andrew Dai, Robert Baldock, Souradeep Nanda, Koen Oostermeijer, Andres Felipe Cruz-Salinas, Patrick Schramowski, Kristian Kersting, and Samuel Weinbach. 2023 · 2023
Cited alongside, same era.
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
Cited alongside, same era.
Typology of risks of generative text-to-image models
Charlotte Bird, Eddie Ungless, and Atoosa Kasirzadeh. 2023 · 2023
Cited alongside, same era.
Manuel Brack, Felix Friedrich, Patrick Schramowski, and Kristian Kersting. 2023 · 2023
Cited alongside, same era.
AltCLIP: Altering the language encoder in CLIP for extended language capabilities
Zhongzhi Chen, Guang Liu, Bo-Wen Zhang, Qinghong Yang, and Ledell Wu. 2023 · 2023
Cited alongside, same era.
Robert Wolfe, Yiwei Yang, Bill Howe, and Aylin Caliskan. 2023 · 2023
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ImageReward: Learning and evaluating human preferences for text-to-image generation
Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, and Yuxiao Dong. 2023 · 2023
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Altdiffusion: A multilingual text-to-image diffusion model
Fulong Ye, Guang Liu, Xinya Wu, and Ledell Wu. 2023 · 2023
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ITI-GEN: Inclusive text-to-image generation
Cheng Zhang, Xuanbai Chen, Siqi Chai, Henry Chen Wu, Dmitry Lagun, Thabo Beeler, and Fernando De la Torre. 2023 · 2023
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LEDITS++: Limitless image editing using text-to-image models
Manuel Brack, Felix Friedrich, Katharina Kornmeier, Linoy Tsaban, Patrick Schramowski, Kristian Kersting, and Apolinário Passos. 2024 · 2024
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TIBET: Identifying and evaluating biases in text-to-image generative models
Aditya Chinchure, Pushkar Shukla, Gaurav Bhatt, Kiri Salij, Kartik Hosanagar, Leonid Sigal, and Matthew Turk. 2024 · 2024
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Fair diffusion: Instructing text-to-image generation models on fairness
Felix Friedrich, Manuel Brack, Lukas Struppek, Dominik Hintersdorf, Patrick Schramowski, Sasha Luccioni, and Kristian Kersting. 2024 · 2024
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Hanjun Luo, Haoyu Huang, Ziye Deng, Xuecheng Liu, Ruizhe Chen, and Zuozhu Liu. 2024 · 2024
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MiTTenS: A dataset for evaluating gender mistranslation
Kevin Robinson, Sneha Kudugunta, Romina Stella, Sunipa Dev, and Jasmijn Bastings. 2024 · 2024
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Lost in translation? translation errors and challenges for fair assessment of text-to-image models on multilingual concepts
Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, and William Yang Wang. 2024 · 2024
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The bias amplification paradox in text-to-image generation
Preethi Seshadri, Sameer Singh, and Yanai Elazar. 2024 · 2024
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FuguMT: A multilingual text translation model for english and japanese
Staka. 2024 · 2024
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Gemma 2: Improving open language models at a practical size
Gemma Team. 2024 · 2024
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What’s in a word? How less gendered language is faring across europe
The Guardian. 2023 · 2024
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Mulan: Adapting multilingual diffusion models for hundreds of languages with negligible cost
Sen Xing, Muyan Zhong, Zeqiang Lai, Liangchen Li, Jiawen Liu, Yaohui Wang, Jifeng Dai, and Wenhai Wang. 2024 · 2024
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Cogview3: Finer and faster text-to-image generation via relay diffusion
Wendi Zheng, Jiayan Teng, Zhuoyi Yang, Weihan Wang, Jidong Chen, Xiaotao Gu, Yuxiao Dong, Ming Ding, and Jie Tang. 2024 · 2024
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Kandinsky-2: Text-to-Image Model
AI Forever. 2024 · 2025
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Lumina-Image 2.0: A unified and efficient image generative framework
Qi Qin, Le Zhuo, Yi Xin, Ruoyi Du, Zhen Li, Bin Fu, Yiting Lu, Xinyue Li, Dongyang Liu, Xiangyang Zhu, Will Beddow, Erwann Millon, Wenhai Wang Victor Perez, Yu Qiao, Bo Zhang, Xiaohong Liu, Hongsheng Li, Chang Xu, and Peng Gao. 2025 · 2025
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