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Autoregressive (AR) image generation models have gained increasing attention for their breakthroughs in synthesis quality, highlighting the need for robust watermarking to prevent misuse.
A watermark for digital images
R.B. Wolfgang and E.J. Delp · 1996
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Combined dwt-dct digital image watermarking
Ali Al-Haj · 2007
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Dwt-dct-svd based watermarking
K. A. Navas, Mathews Cheriyan Ajay, M. Lekshmi, Tampy S. Archana, and M. Sasikumar · 2008
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A dwt, dct and svd based watermarking technique to protect the image piracy
Md. Maklachur Rahman · 2013
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Deep autoregressive networks
Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, and Daan Wierstra · 2014
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Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 2017
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Image transformer
Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Noam Shazeer, Alexander Ku, and Dustin Tran · 2018
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Neural discrete representation learning, 2018
Aaron van den Oord, Oriol Vinyals, and Koray Kavukcuoglu · 2018
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Robust invisible video watermarking with attention, 2019
Kevin Alex Zhang, Lei Xu, Alfredo Cuesta-Infante, and Kalyan Veeramachaneni · 2019
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Generating diverse high-fidelity images with vq-vae-2
Ali Razavi, Aaron Van den Oord, and Oriol Vinyals · 2019
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Stegastamp: Invisible hyperlinks in physical photographs
Matthew Tancik, Ben Mildenhall, and Ren Ng · 2020
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Generative pretraining from pixels
Mark Chen, Alec Radford, Rewon Child, Jeffrey Wu, Heewoo Jun, David Luan, and Ilya Sutskever · 2020
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Taming transformers for high-resolution image synthesis
Patrick Esser, Robin Rombach, and Bjorn Ommer · 2021
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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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Watermarking images in self-supervised latent spaces
Pierre Fernandez, Alexandre Sablayrolles, Teddy Furon, Hervé Jégou, and Matthijs Douze · 2022
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Diffusion models for adversarial purification, 2022
Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, and Anima Anandkumar · 2022
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Watermarking images in self-supervised latent spaces, 2022
Pierre Fernandez, Alexandre Sablayrolles, Teddy Furon, Hervé Jégou, and Matthijs Douze · 2022
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Autoregressive image generation using residual quantization
Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, and Wook-Shin Han · 2022
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Sdxl: Improving latent diffusion models for high-resolution image synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach · 2023
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Imagic: Text-based real image editing with diffusion models
Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, and Michal Irani · 2023
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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
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Tree-ring watermarks: Fingerprints for diffusion images that are invisible and robust
Yuxin Wen, John Kirchenbauer, Jonas Geiping, and Tom Goldstein · 2023
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On the reliability of watermarks for large language models
John Kirchenbauer, Jonas Geiping, Yuxin Wen, Manli Shu, Khalid Saifullah, Kezhi Kong, Kasun Fernando, Aniruddha Saha, Micah Goldblum, and Tom Goldstein · 2023
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Randomized autoregressive visual generation
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, and Liang-Chieh Chen · 2024
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Show-o: One single transformer to unify multimodal understanding and generation, 2024
Jinheng Xie, Weijia Mao, Zechen Bai, David Junhao Zhang, Weihao Wang, Kevin Qinghong Lin, Yuchao Gu, Zhijie Chen, Zhenheng Yang, and Mike Zheng Shou · 2024
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Transfusion: Predict the next token and diffuse images with one multi-modal model, 2024
Chunting Zhou, Lili Yu, Arun Babu, Kushal Tirumala, Michihiro Yasunaga, Leonid Shamis, Jacob Kahn, Xuezhe Ma, Luke Zettlemoyer, and Omer Levy · 2024
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Ringid: Rethinking tree-ring watermarking for enhanced multi-key identification
Hai Ci, Pei Yang, Yiren Song, and Mike Zheng Shou · 2024
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Robin: Robust and invisible watermarks for diffusion models with adversarial optimization, 2024
Huayang Huang, Yu Wu, and Qian Wang · 2024
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Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, and Heng Huang · 2023
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The stable signature: Rooting watermarks in latent diffusion models
Pierre Fernandez, Guillaume Couairon, Hervé Jégou, Matthijs Douze, and Teddy Furon · 2023
Cited alongside, same era.
A watermark for large language models
John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, and Tom Goldstein · 2023
Cited alongside, same era.
Optimizing watermarks for large language models
Bram Wouters · 2023
Cited alongside, same era.
A recipe for watermarking diffusion models
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Ngai-Man Cheung, and Min Lin · 2023
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Scaling rectified flow transformers for high-resolution image synthesis
Patrick Esser, Sumith Kulal, Andreas Blattmann, Rahim Entezari, Jonas Müller, Harry Saini, Yam Levi, Dominik Lorenz, Axel Sauer, Frederic Boesel, et al · 2024
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Ssr-encoder: Encoding selective subject representation for subject-driven generation
Yuxuan Zhang, Yiren Song, Jiaming Liu, Rui Wang, Jinpeng Yu, Hao Tang, Huaxia Li, Xu Tang, Yao Hu, Han Pan, et al · 2024
Cited alongside, same era.
Fast personalized text to image synthesis with attention injection
Yuxuan Zhang, Yiren Song, Jinpeng Yu, Han Pan, and Zhongliang Jing · 2024
Cited alongside, same era.
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Image watermarks are removable using controllable regeneration from clean noise, 2024
Yepeng Liu, Yiren Song, Hai Ci, Yu Zhang, Haofan Wang, Mike Zheng Shou, and Yuheng Bu · 2024
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Randar: Decoder-only autoregressive visual generation in random orders, 2024
Ziqi Pang, Tianyuan Zhang, Fujun Luan, Yunze Man, Hao Tan, Kai Zhang, William T. Freeman, and Yu-Xiong Wang · 2024
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Wmadapter: Adding watermark control to latent diffusion models, 2024
Hai Ci, Yiren Song, Pei Yang, Jinheng Xie, and Mike Zheng Shou · 2024
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An entropy-based text watermarking detection method
Yijian Lu, Aiwei Liu, Dianzhi Yu, Jingjing Li, and Irwin King · 2024
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Adaptive text watermark for large language models
Yepeng Liu and Yuheng Bu · 2024
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Who wrote this code? watermarking for code generation, 2024
Taehyun Lee, Seokhee Hong, Jaewoo Ahn, Ilgee Hong, Hwaran Lee, Sangdoo Yun, Jamin Shin, and Gunhee Kim · 2024
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A semantic invariant robust watermark for large language models, 2024
Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, and Lijie Wen · 2024
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Zhiwei He, Binglin Zhou, Hongkun Hao, Aiwei Liu, Xing Wang, Zhaopeng Tu, Zhuosheng Zhang, and Rui Wang · 2024
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Easycontrol: Adding efficient and flexible control for diffusion transformer
Yuxuan Zhang, Yirui Yuan, Yiren Song, Haofan Wang, and Jiaming Liu · 2025
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Photodoodle: Learning artistic image editing from few-shot pairwise data
Shijie Huang, Yiren Song, Yuxuan Zhang, Hailong Guo, Xueyin Wang, Mike Zheng Shou, and Jiaming Liu · 2025
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Stable-hair: Real-world hair transfer via diffusion model
Yuxuan Zhang, Qing Zhang, Yiren Song, Jichao Zhang, Hao Tang, and Jiaming Liu · 2025
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Makeanything: Harnessing diffusion transformers for multi-domain procedural sequence generation
Yiren Song, Cheng Liu, and Mike Zheng Shou · 2025
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Visual autoregressive modeling: Scalable image generation via next-scale prediction
Keyu Tian, Yi Jiang, Zehuan Yuan, Bingyue Peng, and Liwei Wang · 2025
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