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Recently, zero-shot methods like InstantID have revolutionized identity-preserving generation.
Deep face recognition
Omkar Parkhi, Andrea Vedaldi, and Andrew Zisserman · 2015
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Towards deep learning models resistant to adversarial attacks
Aleksander Madry · 2017
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Large-scale celebfaces attributes (celeba) dataset
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2018
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Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2019
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Ser-fiq: Unsupervised estimation of face image quality based on stochastic embedding robustness
Philipp Terhorst, Jan Niklas Kolf, Naser Damer, Florian Kirchbuchner, and Arjan Kuijper · 2020
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Learning transferable visual models from natural language supervision, 2021
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
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An image is worth one word: Personalizing text-to-image generation using textual inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H Bermano, Gal Chechik, and Daniel Cohen-Or · 2022
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LoRA: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2022
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Multi-concept customization of text-to-image diffusion
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, and Jun-Yan Zhu · 2023
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Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan · 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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Robustness of ai-image detectors: Fundamental limits and practical attacks
Mehrdad Saberi, Vinu Sankar Sadasivan, Keivan Rezaei, Aounon Kumar, Atoosa Chegini, Wenxiao Wang, and Soheil Feizi · 2023
Cited alongside, same era.
Idadapter: Learning mixed features for tuning-free personalization of text-to-image models
Siying Cui, Jia Guo, Xiang An, Jiankang Deng, Yongle Zhao, Xinyu Wei, and Ziyong Feng · 2024
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Pulid: Pure and lightning id customization via contrastive alignment
Zinan Guo, Yanze Wu, Zhuowei Chen, Lang Chen, and Qian He · 2024
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Photomaker: Customizing realistic human photos via stacked id embedding
Zhen Li, Mingdeng Cao, Xintao Wang, Zhongang Qi, Ming-Ming Cheng, and Ying Shan · 2024
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Moa: Mixture-of-attention for subject-context disentanglement in personalized image generation
Daniil Ostashev, Yuwei Fang, Sergey Tulyakov, Kfir Aberman, et al · 2024
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Anti-reference: Universal and immediate defense against reference-based generation
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Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, and Aleksander Madry · 2023
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Face0: Instantaneously conditioning a text-to-image model on a face
Dani Valevski, Danny Wasserman, Yossi Matias, and Yaniv Leviathan · 2023
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Anti-dreambooth: Protecting users from personalized text-to-image synthesis
Thanh Van Le, Hao Phung, Thuan Hoang Nguyen, Quan Dao, Ngoc N Tran, and Anh Tran · 2023
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Understanding and improving adversarial attacks on latent diffusion model
Boyang Zheng, Chumeng Liang, Xiaoyu Wu, and Yan Liu · 2023
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Junjie He, Yifeng Geng, and Liefeng Bo
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Id-animator: Zero-shot identity-preserving human video generation
Xuanhua He, Quande Liu, Shengju Qian, Xin Wang, Tao Hu, Ke Cao, Keyu Yan, Man Zhou, and Jie Zhang
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Midjourney
Midjourney.com
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Glaze: Protecting artists from style mimicry by
Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, and Ben Y Zhao
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Yiren Song, Shengtao Lou, Xiaokang Liu, Hai Ci, Pei Yang, Jiaming Liu, and Mike Zheng Shou · 2024
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Fast personalized text to image synthesis with attention injection
Yuxuan Zhang, Yiren Song, Jinpeng Yu, Han Pan, and Zhongliang Jing · 2024
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Storymaker: Towards holistic consistent characters in text-to-image generation
Zhengguang Zhou, Jing Li, Huaxia Li, Nemo Chen, and Xu Tang · 2024
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