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Diffusion models have demonstrated exceptional capabilities in generating a broad spectrum of visual content, yet their proficiency in rendering text is still limited: they often generate inaccurate characters or words that fail to blend well with the underlying image.
Image thresholding for optical character recognition and other applications requiring character image extraction
James M White and Gene D Rohrer · 1983
Earlier work this paper cites.
Optical character recognition by the method of moments
Glenn L Cash and Mehdi Hatamian · 1987
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Detecting symbols on road surface for mapping and localization using ocr
Markus Schreiber, Fabian Poggenhans, and Christoph Stiller · 2014
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
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Decoupled weight decay regularization
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Iraqi car license plate recognition using ocr
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Self-adversarially learned bayesian sampling, 2018
Yang Zhao, Jianyi Zhang, and Changyou Chen · 2018
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Cyclical stochastic gradient mcmc for bayesian deep learning
Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, and Andrew Gordon Wilson · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Mask textspotter v3: Segmentation proposal network for robust scene text spotting
Minghui Liao, Guan Pang, Jing Huang, Tal Hassner, and Xiang Bai · 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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Federated learning with class imbalance reduction, 2020
Miao Yang, Akitanoshou Wong, Hongbin Zhu, Haifeng Wang, and Hua Qian · 2020
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Stochastic particle-optimization sampling and the non-asymptotic convergence theory
Jianyi Zhang, Ruiyi Zhang, Lawrence Carin, and Changyou Chen · 2020
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Variance reduction in stochastic particle-optimization sampling
Jianyi Zhang, Yang Zhao, and Changyou Chen · 2020
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Imagebart: Bidirectional context with multinomial diffusion for autoregressive image synthesis
Patrick Esser, Robin Rombach, Andreas Blattmann, and Bjorn Ommer · 2021
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Towards fair federated learning with zero-shot data augmentation
Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J Liang, Changyou Chen, and Lawrence Carin Duke · 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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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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High-resolution image synthesis with latent diffusion models, 2021
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2021
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Flop: Federated learning on medical datasets using partial networks
Qian Yang, Jianyi Zhang, Weituo Hao, Gregory P Spell, and Lawrence Carin · 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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Why do we need large batchsizes in contrastive learning? a gradient-bias perspective
Changyou Chen, Jianyi Zhang, Yi Xu, Liqun Chen, Jiali Duan, Yiran Chen, Son Tran, Belinda Zeng, and Trishul Chilimbi · 2022
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Rethinking normalization methods in federated learning
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Card: Classification and regression diffusion models
Xizewen Han, Huangjie Zheng, and Mingyuan Zhou · 2022
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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2022
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Subspace diffusion generative models
Bowen Jing, Gabriele Corso, Renato Berlinghieri, and Tommi Jaakkola · 2022
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Character-aware models improve visual text rendering
Rosanne Liu, Dan Garrette, Chitwan Saharia, William Chan, Adam Roberts, Sharan Narang, Irina Blok, RJ Mical, Mohammad Norouzi, and Noah Constant · 2022
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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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Hugginggpt: Solving ai tasks with chatgpt and its friends in huggingface
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Deepfloyd
Alex Shonenkov, Misha Konstantinov, Daria Bakshandaeva, Christoph Schuhmann, Ksenia Ivanova, and Nadiia Klokova · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Repaint: Inpainting using denoising diffusion probabilistic models
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
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Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
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Fade: Enabling large-scale federated adversarial training on resource-constrained edge devices
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Diffusers: State-of-the-art diffusion models
Patrick von Platen, Suraj Patil, Anton Lozhkov, Pedro Cuenca, Nathan Lambert, Kashif Rasul, Mishig Davaadorj, and Thomas Wolf · 2022
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Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Anytext: Multilingual visual text generation and editing
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Stylediffusion: Controllable disentangled style transfer via diffusion models
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Ocr-rtps: an ocr-based real-time positioning system for the valet parking
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Diffusion model for generative image denoising
Yutong Xie, Minne Yuan, Bin Dong, and Quanzheng Li · 2023
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Real-world denoising via diffusion model
Chenghan Yang, Lijing Liang, and Zhixun Su · 2023
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Fed-cbs: A heterogeneity-aware client sampling mechanism for federated learning via class-imbalance reduction
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Reaugkd: Retrieval-augmented knowledge distillation for pre-trained language models
Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, et al · 2023
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Adding conditional control to text-to-image diffusion models
Lvmin Zhang and Maneesh Agrawala · 2023
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Adding conditional control to text-to-image diffusion models
Lvmin Zhang and Maneesh Agrawala · 2023
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Shifted diffusion for text-to-image generation
Yufan Zhou, Bingchen Liu, Yizhe Zhu, Xiao Yang, Changyou Chen, and Jinhui Xu · 2023
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Sufficient context: A new lens on retrieval augmented generation systems
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Glyphcontrol: Glyph conditional control for visual text generation
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Federated large language models: Current progress and future directions
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Sled: Self logits evolution decoding for improving factuality in large language models
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Min-k%++: Improved baseline for detecting pre-training data from large language models
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Towards building the federatedgpt: Federated instruction tuning
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Unlocking the potential of federated learning: The symphony of dataset distillation via deep generative latents
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