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Text-to-Image (T2I) generation is enabling new applications that support creators, designers, and general end users of productivity software by generating illustrative content with high photorealism starting from a given descriptive text as a prompt.
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
Kimmo Kärkkäinen and Jungseock Joo. 2019 · 1908
Earlier work this paper cites.
Towards an operationalization of the fundamental dimensions of agency and communion: Trait content ratings in five countries considering valence and frequency of word occurrence
Andrea Abele, Mirjam Uchronski, Caterina Suitner, and Bogdan Wojciszke. 2008 · 2008
Earlier work this paper cites.
Visual diversification of image search results. In Proceedings of the 18th international conference on World wide web . 341–350
Reinier H Van Leuken, Lluis Garcia, Ximena Olivares, and Roelof van Zwol. 2009 · 2009
Earlier work this paper cites.
Search result diversification
Marina Drosou and Evaggelia Pitoura. 2010 · 2010
Earlier work this paper cites.
The bigger one of the “Big Two”? Preferential processing of communal information
Andrea E Abele and Susanne Bruckmüller. 2011 · 2011
Earlier work this paper cites.
Unequal Representation and Gender Stereotypes in Image Search Results for Occupations. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI 2015, Seoul, Republic of Korea, April 18-23, 2015 , Bo Begole, Jinwoo Kim, Kori Inkpen, and Woontack Woo (Eds.). ACM, 3819–3828
Matthew Kay, Cynthia Matuszek, and Sean A. Munson. 2015a · 2015
Earlier work this paper cites.
Davis E. King. 2015 · 2015
Earlier work this paper cites.
Deep Residual Learning for Image Recognition. In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) . IEEE Computer Society, Los Alamitos, CA, USA, 770–778
K. He, X. Zhang, S. Ren, and J. Sun. 2016 · 2016
Earlier work this paper cites.
GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, December 4-9, 2017, Long Beach, CA, USA , Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, and Roman Garnett (Eds.). 6626–6637
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017 · 2017
Earlier work this paper cites.
Adam: A Method for Stochastic Optimization
Diederik P. Kingma and Jimmy Ba. 2017 · 2017
Cited alongside, same era.
Competent Men and Warm Women: Gender Stereotypes and Backlash in Image Search Results. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, Denver, CO, USA, May 06-11, 2017 , Gloria Mark, Susan R. Fussell, Cliff Lampe, m. c. schraefel, Juan Pablo Hourcade, Caroline Appert, and Daniel Wigdor (Eds.). ACM, 6620–6631
Jahna Otterbacher, Jo Bates, and Paul D. Clough. 2017 · 2017
Cited alongside, same era.
Multimodal datasets: misogyny, pornography, and malignant stereotypes
Abeba Birhane, Vinay Uday Prabhu, and Emmanuel Kahembwe. 2021 · 2021
Cited alongside, same era.
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age for Bias Measurement and Mitigation. In IEEE Winter Conference on Applications of Computer Vision, WACV 2021, Waikoloa, HI, USA, January 3-8, 2021 . IEEE, 1547–1557
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Models
Jaemin Cho, Abhay Zala, and Mohit Bansal. 2022 · 2022
Later among the works it cites.
CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers
Ming Ding, Wendi Zheng, Wenyi Hong, and Jie Tang. 2022 · 2022
Later among the works it cites.
Has CEO Gender Bias Really Been Fixed? Adversarial Attacking and Improving Gender Fairness in Image Search. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 36. 11882–11890
Yunhe Feng and Chirag Shah. 2022 · 2022
Later among the works it cites.
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022 · 2022
Later among the works it cites.
High-Resolution Image Synthesis with Latent Diffusion Models. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022 . IEEE, 10674–10685
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Kimmo Kärkkäinen and Jungseock Joo. 2021 · 2021
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Dataset diversity: measuring and mitigating geographical bias in image search and retrieval
Abhishek Mandal, Susan Leavy, and Suzanne Little. 2021 · 2021
Cited alongside, same era.
An Image of Society: Gender and Racial Representation and Impact in Image Search Results for Occupations
Danaë Metaxa, Michelle A. Gan, Su Goh, Jeff T. Hancock, and James A. Landay. 2021b · 2021
Cited alongside, same era.
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
Cited alongside, same era.
Laion-400m: Open dataset of clip-filtered 400 million image-text pairs
Christoph Schuhmann, Richard Vencu, Romain Beaumont, Robert Kaczmarczyk, Clayton Mullis, Aarush Katta, Theo Coombes, Jenia Jitsev, and Aran Komatsuzaki. 2021 · 2021
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. 2022 · 2022
Cited alongside, same era.
Unequal Representation and Gender Stereotypes in Image Search Results for Occupations. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (Seoul, Republic of Korea) (CHI ’15) . Association for Computing Machinery, New York, NY, USA, 3819–3828
Matthew Kay, Cynthia Matuszek, and Sean A. Munson. 2015b
Cited in the paper.
An Image of Society: Gender and Racial Representation and Impact in Image Search Results for Occupations
Danaë Metaxa, Michelle A. Gan, and James A. Landay. 2021a
Cited in the paper.
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
Later among the works it cites.
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, Burcu Karagol Ayan, S. Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, and Mohammad Norouzi. 2022 · 2022
Later among the works it cites.
Laion-5b: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, et al · 2022
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Representativeness and face-ism: Gender bias in image search
Roberto Ulloa, Ana Carolina Richter, Mykola Makhortykh, Aleksandra Urman, and Celina Sylwia Kacperski. 2022 · 2022
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Auditing Gender Presentation Differences in Text-to-Image Models
Yanzhe Zhang, Lu Jiang, Greg Turk, and Diyi Yang. 2023 · 2023
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