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In real-world images, slanted or curved texts, especially those on cans, banners, or badges, appear as frequently, if not more so, than flat texts due to artistic design or layout constraints.
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Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Auto-encoding variational bayes
Diederik P. Kingma and Max Welling · 2014
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Synthetic data for text localisation in natural images
Ankush Gupta, Andrea Vedaldi, and Andrew Zisserman · 2016
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Xun Huang and Serge Belongie · 2017
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Icdar2019 robust reading challenge on arbitrary-shaped text-rrc-art
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Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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Qiangpeng Yang, Jun Huang, and Wei Lin · 2020
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Diffusion models beat gans on image synthesis
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Improved denoising diffusion probabilistic models
Alexander Quinn Nichol and Prafulla Dhariwal · 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, et al · 2021
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Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2021
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Jeyasri Subramanian, Varnith Chordia, Eugene Bart, Shaobo Fang, Kelly Guan, Raja Bala, et al · 2021
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ediff-i: Text-to-image diffusion models with ensemble of expert denoisers
Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, Tero Karras, and Ming-Yu Liu · 2022
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Jian Ma, Mingjun Zhao, Chen Chen, Ruichen Wang, Di Niu, Haonan Lu, and Xiaodong Lin · 2023
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Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
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Jingye Chen, Yupan Huang, Tengchao Lv, Lei Cui, Qifeng Chen, and Furu Wei · 2024
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Not every image is worth a thousand words: Quantifying originality in stable diffusion
Adi Haviv, Shahar Sarfaty, Uri Hacohen, Niva Elkin-Koren, Roi Livni, and Amit H Bermano · 2024
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Character-aware models improve visual text rendering
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Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, and Dilip Krishnan · 2023
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Praveen Krishnan, Rama Kovvuri, Guan Pang, Boris Vassilev, and Tal Hassner · 2023
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Norm-guided latent space exploration for text-to-image generation
Dvir Samuel, Rami Ben-Ari, Nir Darshan, Haggai Maron, and Gal Chechik · 2024
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Anytext: Multilingual visual text generation and editing
Yuxiang Tuo, Wangmeng Xiang, Jun-Yan He, Yifeng Geng, and Xuansong Xie · 2024
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Yukang Yang, Dongnan Gui, Yuhui Yuan, Weicong Liang, Haisong Ding, Han Hu, and Kai Chen · 2024
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Zhen Zhao, Jingqun Tang, Binghong Wu, Chunhui Lin, Shu Wei, Hao Liu, Xin Tan, Zhizhong Zhang, Can Huang, and Yuan Xie · 2024
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Visual text generation in the wild
Yuanzhi Zhu, Jiawei Liu, Feiyu Gao, Wenyu Liu, Xinggang Wang, Peng Wang, Fei Huang, Cong Yao, and Zhibo Yang · 2024
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