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While diffusion models have significantly advanced the quality of image generation their capability to accurately and coherently render text within these images remains a substantial challenge.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Recursive recurrent nets with attention modeling for ocr in the wild
Chen-Yu Lee and Simon Osindero · 2016
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Robust scene text recognition with automatic rectification
Baoguang Shi, Xinggang Wang, Pengyuan Lyu, Cong Yao, and Xiang Bai · 2016
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
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East: an efficient and accurate scene text detector
Xinyu Zhou, Cong Yao, He Wen, Yuzhi Wang, Shuchang Zhou, Weiran He, and Jiajun Liang · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
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Multi-content gan for few-shot font style transfer
Samaneh Azadi, Matthew Fisher, Vladimir G Kim, Zhaowen Wang, Eli Shechtman, and Trevor Darrell · 2018
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Arbitrary-oriented scene text detection via rotation proposals
Jianqi Ma, Weiyuan Shao, Hao Ye, Li Wang, Hong Wang, Yingbin Zheng, and Xiangyang Xue · 2018
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Aster: An attentional scene text recognizer with flexible rectification
Baoguang Shi, Mingkun Yang, Xinggang Wang, Pengyuan Lyu, Cong Yao, and Xiang Bai · 2018
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Attngan: Fine-grained text to image generation with attentional generative adversarial networks
Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, and Xiaodong He · 2018
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E2e-mlt-an unconstrained end-to-end method for multi-language scene text
Michal Bušta, Yash Patel, and Jiri Matas · 2019
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Towards unconstrained end-to-end text spotting
Siyang Qin, Alessandro Bissacco, Michalis Raptis, Yasuhisa Fujii, and Ying Xiao · 2019
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Editing text in the wild
Liang Wu, Chengquan Zhang, Jiaming Liu, Junyu Han, Jingtuo Liu, Errui Ding, and Xiang Bai · 2019
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Spatial fusion gan for image synthesis
Fangneng Zhan, Hongyuan Zhu, and Shijian Lu · 2019
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Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
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Fet-gan: Font and effect transfer via k-shot adaptive instance normalization
Wei Li, Yongxing He, Yanwei Qi, Zejian Li, and Yongchuan Tang · 2020
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Real-time scene text detection with differentiable binarization
Minghui Liao, Zhaoyi Wan, Cong Yao, Kai Chen, and Xiang Bai · 2020
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Scatter: selective context attentional scene text recognizer
Ron Litman, Oron Anschel, Shahar Tsiper, Roee Litman, Shai Mazor, and R Manmatha · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu · 2020
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Deep fusion generative adversarial networks for text-to-image synthesis
Ming Tao, Hao Tang, Songsong Wu, Nicu Sebe, Xiaoyuan Jing, Fei Wu, and Bingkun Bao · 2020
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Swaptext: Image based texts transfer in scenes
Qiangpeng Yang, Jun Huang, and Wei Lin · 2020
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen · 2021
Multi-granularity prediction for scene text recognition
Peng Wang, Cheng Da, and Cong Yao · 2022
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Sign language video anonymization
Zhaoyang Xia, Yuxiao Chen, Qilong Zhangli, Matt Huenerfauth, Carol Neidle, and Dimitris Metaxas · 2022
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Region proposal rectification towards robust instance segmentation of biological images
Qilong Zhangli, Jingru Yi, Di Liu, Xiaoxiao He, Zhaoyang Xia, Qi Chang, Ligong Han, Yunhe Gao, Song Wen, Haiming Tang, et al · 2022
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Textdiffuser: Diffusion models as text painters
Jingye Chen, Yupan Huang, Tengchao Lv, Lei Cui, Qifeng Chen, and Furu Wei · 2023
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Svdiff: Compact parameter space for diffusion fine-tuning
Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris Metaxas, and Feng Yang · 2023
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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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Zero-shot text-to-image generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever · 2021
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Towards end-to-end text spotting in natural scenes
Peng Wang, Hui Li, and Chunhua Shen · 2021
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ediffi: Text-to-image diffusion models with an ensemble of expert denoisers
Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, Bryan Catanzaro, et al · 2022
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Scene text recognition with permuted autoregressive sequence models
Darwin Bautista and Rowel Atienza · 2022
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Deeprecon: Joint 2d cardiac segmentation and 3d volume reconstruction via a structure-specific generative method
Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al’Aref, Leon Axel, et al · 2022
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Yunhe Gao, Mu Zhou, Di Liu, Zhennan Yan, Shaoting Zhang, and Dimitris N Metaxas · 2022
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Dealing with heterogeneous 3d mr knee images: A federated few-shot learning method with dual knowledge distillation
Xiaoxiao He, Chaowei Tan, Bo Liu, Liping Si, Weiwu Yao, Liang Zhao, Di Liu, Qilong Zhangli, Qi Chang, Kang Li, et al · 2023
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Improving diffusion models for scene text editing with dual encoders
Jiabao Ji, Guanhua Zhang, Zhaowen Wang, Bairu Hou, Zhifei Zhang, Brian Price, and Shiyu Chang · 2023
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Object-centric slot diffusion
Jindong Jiang, Fei Deng, Gautam Singh, and Sungjin Ahn · 2023
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Textstylebrush: Transfer of text aesthetics from a single example
Praveen Krishnan, Rama Kovvuri, Guan Pang, Boris Vassilev, and Tal Hassner · 2023
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Deformer: Integrating transformers with deformable models for 3d shape abstraction from a single image
Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, and Dimitris N Metaxas · 2023
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Glyphdraw: Learning to draw chinese characters in image synthesis models coherently
Jian Ma, Mingjun Zhao, Chen Chen, Ruichen Wang, Di Niu, Haonan Lu, and Xiaodong Lin · 2023
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Deep learning segmentation of the right ventricle in cardiac mri: The m&ms challenge
Carlos Martín-Isla, Víctor M Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, Alireza Sojoudi, Mitchell J Fulton, Tewodros Weldebirhan Arega, Kumaradevan Punithakumar, et al · 2023
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Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2023
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Deepfloyd-if
Alex Shonenkov, Misha Konstantinov, Daria Bakshandaeva, Christoph Schuhmann, Ksenia Ivanova, and Nadiia Klokova · 2023
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Slotdiffusion: Object-centric generative modeling with diffusion models
Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, and Animesh Garg · 2023
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Proxedit: Improving tuning-free real image editing with proximal guidance
Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Anastasis Stathopoulos, Xiaoxiao He, Yuxiao Chen, Di Liu, Qilong Zhangli, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, and Dimitris Metaxas · 2024
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Lepard: Learning explicit part discovery for 3d articulated shape reconstruction
Di Liu, Anastasis Stathopoulos, Qilong Zhangli, Yunhe Gao, and Dimitris Metaxas · 2024
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Second-order graph odes for multi-agent trajectory forecasting
Song Wen, Hao Wang, Di Liu, Qilong Zhangli, and Dimitris Metaxas · 2024
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Glyphcontrol: Glyph conditional control for visual text generation
Yukang Yang, Dongnan Gui, Yuhui Yuan, Weicong Liang, Haisong Ding, Han Hu, and Kai Chen · 2024
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