Fetching the paper…
Reading the bibliography…
Text-to-Image (T2I) models are being increasingly adopted in diverse global communities where they create visual representations of their unique cultures.
Social and cultural anthropology: The key concepts
Nigel Rapport and Joanna Overing · 2002
Earlier work this paper cites.
Cultural bias in wikipedia content on famous persons
Ewa S Callahan and Susan C Herring · 2011
Earlier work this paper cites.
Wikidata: a free collaborative knowledgebase
Denny Vrandečić and Markus Krötzsch · 2014
Earlier work this paper cites.
The social impact of natural language processing
Dirk Hovy and Shannon L Spruit · 2016
Earlier work this paper cites.
Improved techniques for training gans, 2016
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium, 2018
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2018
Earlier work this paper cites.
Huggingface’s transformers: State-of-the-art natural language processing, 2020
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush · 2020
Earlier work this paper cites.
New maps for an inclusive wikipedia: decolonial scholarship and strategies to counter systemic bias
Carwil Bjork-James · 2021
Earlier work this paper cites.
Visually grounded reasoning across languages and cultures
Fangyu Liu, Emanuele Bugliarello, Edoardo Maria Ponti, Siva Reddy, Nigel Collier, and Desmond Elliott · 2021
Earlier work this paper cites.
Towards racially unbiased skin tone estimation via scene disambiguation
Haiwen Feng, Timo Bolkart, Joachim Tesch, Michael J Black, and Victoria Abrevaya · 2022
Earlier work this paper cites.
Challenges and strategies in cross-cultural NLP
Daniel Hershcovich, Stella Frank, Heather Lent, Miryam de Lhoneux, Mostafa Abdou, Stephanie Brandl, Emanuele Bugliarello, Laura Cabello Piqueras, Ilias Chalkidis, Ruixiang Cui, Constanza Fierro, Katerina Margatina, Phillip Rust, and Anders Søgaard · 2022
Earlier work this paper cites.
Clipscore: A reference-free evaluation metric for image captioning, 2022
Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, and Yejin Choi · 2022
Earlier work this paper cites.
Underspecification in scene description-to-depiction tasks
Ben Hutchinson, Jason Baldridge, and Vinodkumar Prabhakaran · 2022
Earlier work this paper cites.
Cultural incongruencies in artificial intelligence
Vinodkumar Prabhakaran, Rida Qadri, and Ben Hutchinson · 2022
Earlier work this paper cites.
High-resolution image synthesis with latent diffusion models, 2022
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Earlier work this paper cites.
Photorealistic text-to-image diffusion models with deep language understanding, 2022
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
Earlier work this paper cites.
Bias assessment for experts in discrimination, not in computer science
Laura Alonso Alemany, Luciana Benotti, Hernán Maina, Lucía Gonzalez, Lautaro Martínez, Beatriz Busaniche, Alexia Halvorsen, Amanda Rojo, and Mariela Rajngewerc · 2023
Earlier work this paper cites.
Inspecting the geographical representativeness of images from text-to-image models, 2023
Abhipsa Basu, R. Venkatesh Babu, and Danish Pruthi · 2023
Earlier work this paper cites.
Improving image generation with better captions
James Betker, Gabriel Goh, Li Jing, Tim Brooks, Jianfeng Wang, Linjie Li, Long Ouyang, Juntang Zhuang, Joyce Lee, Yufei Guo, et al · 2023
Earlier work this paper cites.
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
Earlier work this paper cites.
Typology of risks of generative text-to-image models
Charlotte Bird, Eddie Ungless, and Atoosa Kasirzadeh · 2023
Earlier work this paper cites.
Increasing diversity while maintaining accuracy: Text data generation with large language models and human interventions
John Joon Young Chung, Ece Kamar, and Saleema Amershi · 2023
Earlier work this paper cites.
The vendi score: A diversity evaluation metric for machine learning
Dan Dan Friedman and Adji Bousso Dieng · 2023
Earlier work this paper cites.
Diversify your vision datasets with automatic diffusion-based augmentation, 2023
Lisa Dunlap, Alyssa Umino, Han Zhang, Jiezhi Yang, Joseph E. Gonzalez, and Trevor Darrell · 2023
Earlier work this paper cites.
Training-free structured diffusion guidance for compositional text-to-image synthesis, 2023
Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, and William Yang Wang · 2023
Earlier work this paper cites.
Geneval: An object-focused framework for evaluating text-to-image alignment, 2023
Dhruba Ghosh, Hanna Hajishirzi, and Ludwig Schmidt · 2023
Cited alongside, same era.
Optimizing prompts for text-to-image generation, 2023
Yaru Hao, Zewen Chi, Li Dong, and Furu Wei · 2023
Cited alongside, same era.
Tifa: Accurate and interpretable text-to-image faithfulness evaluation with question answering, 2023
Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, and Noah A Smith · 2023
Cited alongside, same era.
T2i-compbench: A comprehensive benchmark for open-world compositional text-to-image generation, 2023
Kaiyi Huang, Kaiyue Sun, Enze Xie, Zhenguo Li, and Xihui Liu · 2023
Cited alongside, same era.
Seegull: A stereotype benchmark with broad geo-cultural coverage leveraging generative models
Akshita Jha, Aida Mostafazadeh Davani, Chandan K Reddy, Shachi Dave, Vinodkumar Prabhakaran, and Sunipa Dev · 2023
Cited alongside, same era.
Imagereward: Learning and evaluating human preferences for text-to-image generation, 2023
Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, and Yuxiao Dong · 2023
Later among the works it cites.
Cultural and linguistic diversity improves visual representations
Andre Ye, Sebastin Santy, Jena D Hwang, Amy X Zhang, and Ranjay Krishna · 2023
Later among the works it cites.
Diverse diffusion: Enhancing image diversity in text-to-image generation, 2023
Mariia Zameshina, Olivier Teytaud, and Laurent Najman · 2023
Later among the works it cites.
Alignscore: Evaluating factual consistency with a unified alignment function, 2023
Yuheng Zha, Yichi Yang, Ruichen Li, and Zhiting Hu · 2023
Later among the works it cites.
Sigmoid loss for language image pre-training, 2023
Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, and Lucas Beyer · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Best of both worlds: Towards improving temporal knowledge base question answering via targeted fact extraction
Nithish Kannen, Udit Sharma, Sumit Neelam, Dinesh Khandelwal, Shajith Ikbal, Hima Karanam, and L Subramaniam · 2023
Cited alongside, same era.
Pick-a-pic: An open dataset of user preferences for text-to-image generation, 2023
Yuval Kirstain, Adam Polyak, Uriel Singer, Shahbuland Matiana, Joe Penna, and Omer Levy · 2023
Cited alongside, same era.
Viescore: Towards explainable metrics for conditional image synthesis evaluation, 2023
Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, and Wenhu Chen · 2023
Cited alongside, same era.
Improving diversity of demographic representation in large language models via collective-critiques and self-voting
Preethi Lahoti, Nicholas Blumm, Xiao Ma, Raghavendra Kotikalapudi, Sahitya Potluri, Qijun Tan, Hansa Srinivasan, Ben Packer, Ahmad Beirami, Alex Beutel, and Jilin Chen · 2023
Cited alongside, same era.
Holistic evaluation of text-to-image models, 2023
Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Benita Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Li Fei-Fei, Jiajun Wu, Stefano Ermon, and Percy Liang · 2023
Cited alongside, same era.
Llmscore: Unveiling the power of large language models in text-to-image synthesis evaluation, 2023
Yujie Lu, Xianjun Yang, Xiujun Li, Xin Eric Wang, and William Yang Wang · 2023
Cited alongside, same era.
Self-refine: Iterative refinement with self-feedback, 2023
Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck, Amir Yazdanbakhsh, and Peter Clark · 2023
Cited alongside, same era.
Iti-gen: Inclusive text-to-image generation
Cheng Zhang, Xuanbai Chen, Siqi Chai, Chen Henry Wu, Dmitry Lagun, Thabo Beeler, and Fernando De la Torre · 2023
Later among the works it cites.
Consistency-diversity-realism pareto fronts of conditional image generative models, 2024
Pietro Astolfi, Marlene Careil, Melissa Hall, Oscar Mañas, Matthew Muckley, Jakob Verbeek, Adriana Romero Soriano, and Michal Drozdzal · 2024
Closest in time.
Exploring visual culture awareness in gpt-4v: A comprehensive probing, 2024
Yong Cao, Wenyan Li, Jiaang Li, Yifei Yuan, Antonia Karamolegkou, and Daniel Hershcovich · 2024
Closest in time.
Davidsonian scene graph: Improving reliability in fine-grained evaluation for text-to-image generation, 2024
Jaemin Cho, Yushi Hu, Roopal Garg, Peter Anderson, Ranjay Krishna, Jason Baldridge, Mohit Bansal, Jordi Pont-Tuset, and Su Wang · 2024
Closest in time.
Building socio-culturally inclusive stereotype resources with community engagement
Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, and Vinodkumar Prabhakaran · 2024
Closest in time.
Dig in: Evaluating disparities in image generations with indicators for geographic diversity, 2024
Melissa Hall, Candace Ross, Adina Williams, Nicolas Carion, Michal Drozdzal, and Adriana Romero Soriano · 2024
Closest in time.
Rethinking fid: Towards a better evaluation metric for image generation, 2024
Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, and Sanjiv Kumar · 2024
Closest in time.
Visage: A global-scale analysis of visual stereotypes in text-to-image generation, 2024
Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, and Sunipa Dev · 2024
Closest in time.
A computational approach to identifying cultural keywords across languages
Zheng Wei Lim, Harry Stuart, Simon De Deyne, Terry Regier, Ekaterina Vylomova, Trevor Cohn, and Charles Kemp · 2024
Closest in time.
Evaluating text-to-visual generation with image-to-text generation, 2024
Zhiqiu Lin, Deepak Pathak, Baiqi Li, Jiayao Li, Xide Xia, Graham Neubig, Pengchuan Zhang, and Deva Ramanan · 2024
Closest in time.
Scoft: Self-contrastive fine-tuning for equitable image generation
Zhixuan Liu, Peter Schaldenbrand, Beverley-Claire Okogwu, Wenxuan Peng, Youngsik Yun, Andrew Hundt, Jihie Kim, and Jean Oh · 2024
Closest in time.
Stable bias: Evaluating societal representations in diffusion models
Sasha Luccioni, Christopher Akiki, Margaret Mitchell, and Yacine Jernite · 2024
Closest in time.
Jabez Magomere, Shu Ishida, Tejumade Afonja, Aya Salama, Daniel Kochin, Foutse Yuehgoh, Imane Hamzaoui, Raesetje Sefala, Aisha Alaagib, Elizaveta Semenova, Lauren Crais, and Siobhan Mackenzie Hall · 2024
Closest in time.
In-between visuals and visible: The impacts of text-to-image generative ai tools on digital image-making practices in the global south
Nusrat Jahan Mim, Dipannita Nandi, Sadaf Sumyia Khan, Arundhuti Dey, and Syed Ishtiaque Ahmed · 2024
Closest in time.
Quality-weighted vendi scores and their application to diverse experimental design
Quan Nguyen and Adji Bousso Dieng · 2024
Closest in time.
No filter: Cultural and socioeconomic diversity in contrastive vision-language models, 2024
Angéline Pouget, Lucas Beyer, Emanuele Bugliarello, Xiao Wang, Andreas Peter Steiner, Xiaohua Zhai, and Ibrahim Alabdulmohsin · 2024
Closest in time.
Dosa: A dataset of social artifacts from different indian geographical subcultures
Agrima Seth, Sanchit Ahuja, Kalika Bali, and Sunayana Sitaram · 2024
Closest in time.
Generalized people diversity: Learning a human perception-aligned diversity representation for people images, 2024
Hansa Srinivasan, Candice Schumann, Aradhana Sinha, David Madras, Gbolahan Oluwafemi Olanubi, Alex Beutel, Susanna Ricco, and Jilin Chen · 2024
Closest in time.
Survey of bias in text-to-image generation: Definition, evaluation, and mitigation, 2024
Yixin Wan, Arjun Subramonian, Anaelia Ovalle, Zongyu Lin, Ashima Suvarna, Christina Chance, Hritik Bansal, Rebecca Pattichis, and Kai-Wei Chang · 2024
Closest in time.
Good seed makes a good crop: Discovering secret seeds in text-to-image diffusion models, 2024
Katherine Xu, Lingzhi Zhang, and Jianbo Shi · 2024
Closest in time.