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Watermarking is crucial for protecting the copyright of AI-generated images.
Wavelet transform based watermark for digital images
Xiang-Gen Xia, Charles G Boncelet, and Gonzalo R Arce · 1998
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Rotation, scale, and translation resilient watermarking for images
C-Y Lin, Min Wu, Jeffrey A Bloom, Ingemar J Cox, Matthew L Miller, and Yui Man Lui · 2001
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C Bovik, Hamid R Sheikh, and Eero P Simoncelli · 2004
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Digital watermarking and steganography
Ingemar Cox, Matthew Miller, Jeffrey Bloom, Jessica Fridrich, and Ton Kalker · 2007
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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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
Ilya Loshchilov and Frank Hutter · 2017
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Variational image compression with a scale hyperprior
Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, and Nick Johnston · 2018
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The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang · 2018
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Hidden: Hiding data with deep networks
Jiren Zhu, Russell Kaplan, Justin Johnson, and Li Fei-Fei · 2018
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The emergence of deepfake technology: A review
Mika Westerlund · 2019
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Robust invisible video watermarking with attention
Kevin Alex Zhang, Lei Xu, Alfredo Cuesta-Infante, and Kalyan Veeramachaneni · 2019
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Compressai: a pytorch library and evaluation platform for end-to-end compression research
Jean Bégaint, Fabien Racapé, Simon Feltman, and Akshay Pushparaja · 2020
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Learned image compression with discretized gaussian mixture likelihoods and attention modules
Zhengxue Cheng, Heming Sun, Masaru Takeuchi, and Jiro Katto · 2020
Earlier work this paper cites.
A loss function for generative neural networks based on watson’s perceptual model
Steffen Czolbe, Oswin Krause, Ingemar Cox, and Christian Igel · 2020
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Cited alongside, same era.
Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2020
Cited alongside, same era.
Stegastamp: Invisible hyperlinks in physical photographs
Matthew Tancik, Ben Mildenhall, and Ren Ng · 2020
Cited alongside, same era.
Mbrs: Enhancing robustness of dnn-based watermarking by mini-batch of real and simulated jpeg compression
Zhaoyang Jia, Han Fang, and Weiming Zhang · 2021
Cited alongside, same era.
Fixed neural network steganography: Train the images, not the network
Varsha Kishore, Xiangyu Chen, Yan Wang, Boyi Li, and Kilian Q Weinberger · 2021
Cited alongside, same era.
Flexible and secure watermarking for latent diffusion model
Cheng Xiong, Chuan Qin, Guorui Feng, and Xinpeng Zhang · 2023
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Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models
Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, and Wei Yang · 2023
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Show-1: Marrying pixel and latent diffusion models for text-to-video generation
David Junhao Zhang, Jay Zhangjie Wu, Jia-Wei Liu, Rui Zhao, Lingmin Ran, Yuchao Gu, Difei Gao, and Mike Zheng Shou · 2023
Later among the works it cites.
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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Stable diffusion online
Anonymous · 2024
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Pierre Fernandez, Alexandre Sablayrolles, Teddy Furon, Hervé Jégou, and Matthijs Douze · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Stable video diffusion: Scaling latent video diffusion models to large datasets
Andreas Blattmann, Tim Dockhorn, Sumith Kulal, Daniel Mendelevitch, Maciej Kilian, Dominik Lorenz, Yam Levi, Zion English, Vikram Voleti, Adam Letts, et al · 2023
Cited alongside, same era.
Rosteals: Robust steganography using autoencoder latent space
Tu Bui, Shruti Agarwal, Ning Yu, and John Collomosse · 2023
Cited alongside, same era.
Gfpose: Learning 3d human pose prior with gradient fields
Hai Ci, Mingdong Wu, Wentao Zhu, Xiaoxuan Ma, Hao Dong, Fangwei Zhong, and Yizhou Wang · 2023
Cited alongside, same era.
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.
Animatediff: Animate your personalized text-to-image diffusion models without specific tuning
Yuwei Guo, Ceyuan Yang, Anyi Rao, Yaohui Wang, Yu Qiao, Dahua Lin, and Bo Dai · 2023
Cited alongside, same era.
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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Total variation denoising
Lourakis et al · 2024
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Aqualora: Toward white-box protection for customized stable diffusion models via watermark lora
Weitao Feng, Wenbo Zhou, Jiyan He, Jie Zhang, Tianyi Wei, Guanlin Li, Tianwei Zhang, Weiming Zhang, and Nenghai Yu · 2024
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Flat icons
Freepik-Flaticon · 2024
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Ideogram
Ideogram.ai · 2024
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Diffusetrace: A transparent and flexible watermarking scheme for latent diffusion model
Liangqi Lei, Keke Gai, Jing Yu, and Liehuang Zhu · 2024
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Latent watermark: Inject and detect watermarks in latent diffusion space
Zheling Meng, Bo Peng, and Jing Dong · 2024
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A watermark-conditioned diffusion model for ip protection
Rui Min, Sen Li, Hongyang Chen, and Minhao Cheng · 2024
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Gaussian shading: Provable performance-lossless image watermarking for diffusion models
Zijin Yang, Kai Zeng, Kejiang Chen, Han Fang, Weiming Zhang, and Nenghai Yu · 2024
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A training-free plug-and-play watermark framework for stable diffusion
Guokai Zhang, Lanjun Wang, Yuting Su, and An-An Liu · 2024
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