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Watermarking is a tool for actively identifying and attributing the images generated by latent diffusion models.
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 J. Cox, Matthew J. Miller, Jeffrey A. Bloom, Jessica Fridrich, and Ton Kalker · 2007
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Image denoising by sparse 3-d transform-domain collaborative filtering
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, and Karen Egiazarian · 2007
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The mir flickr retrieval evaluation
Mark J Huiskes and Michael S Lew · 2008
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ImageNet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Peak signal-to-noise ratio revisited: Is simple beautiful?
Jari Korhonen and Junyong You · 2012
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Making a "completely blind" image quality analyzer
Anish Mittal, Rajiv Soundararajan, and Alan C. Bovik · 2013
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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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From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
Peter Young, Alice Lai, Micah Hodosh, and Julia Hockenmaier · 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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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 2015
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Blind image quality evaluation using perception based features
N Venkatanath, D Praneeth, Maruthi Chandrasekhar Bh, Sumohana S Channappayya, and Swarup S Medasani · 2015
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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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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2018
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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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Robust invisible video watermarking with attention
Kevin Alex Zhang, Lei Xu, Alfredo Cuesta-Infante, and Kalyan Veeramachaneni · 2019
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Quantifying the carbon emissions of machine learning
Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt, and Thomas Dandres · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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CNN-generated images are surprisingly easy to spot… for now
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, and Alexei A Efros · 2020
Cited alongside, same era.
Thinking in frequency: Face forgery detection by mining frequency-aware clues
Yuyang Qian, Guojun Yin, Lu Sheng, Zixuan Chen, and Jing Shao · 2020
Cited alongside, same era.
What makes fake images detectable? Understanding properties that generalize
Lucy Chai, David Bau, Ser-Nam Lim, and Phillip Isola · 2020
Cited alongside, same era.
Stegastamp: Invisible hyperlinks in physical photographs
Matthew Tancik, Ben Mildenhall, and Ren Ng · 2020
Cited alongside, same era.
Learned image compression with discretized gaussian mixture likelihoods and attention modules
Zhengxue Cheng, Heming Sun, Masaru Takeuchi, and Jiro Katto · 2020
Cited alongside, same era.
High-fidelity reversible image watermarking based on effective prediction error-pairs modification
Laion-5b: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, et al · 2022
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De-end: decoder-driven watermarking network
Han Fang, Zhaoyang Jia, Yupeng Qiu, Jiyi Zhang, Weiming Zhang, and Ee-Chien Chang · 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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DiffFit: Unlocking transferability of large diffusion models via simple parameter-efficient fine-tuning
Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, and Zhenguo Li · 2023
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Identifying and mitigating the security risks of generative AI
Clark Barrett, Brad Boyd, Elie Bursztein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, et al · 2023
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Wenguang He, Zhanchuan Cai, and Yaomin Wang · 2020
Cited alongside, same era.
An automated and robust image watermarking scheme based on deep neural networks
Xin Zhong, Pei-Chi Huang, Spyridon Mastorakis, and Frank Y Shih · 2020
Cited alongside, same era.
Improved denoising diffusion probabilistic models
Alexander Quinn Nichol and Prafulla Dhariwal · 2021
Cited alongside, same era.
Diffusion models beat GANs on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
Cited alongside, same era.
LoRA: Low-rank adaptation of large language models
Edward J Hu, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen, et al · 2021
Cited alongside, same era.
Active and passive detection of image forgery: A review analysis
Ashif Raja · 2021
Cited alongside, same era.
A survey on curriculum learning
Xin Wang, Yudong Chen, and Wenwu Zhu · 2021
Cited alongside, same era.
On the detection of synthetic images generated by diffusion models
Riccardo Corvi, Davide Cozzolino, Giada Zingarini, Giovanni Poggi, Koki Nagano, and Luisa Verdoliva · 2023
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Detecting images generated by deep diffusion models using their local intrinsic dimensionality
Peter Lorenz, Ricard L. Durall, and Janis Keuper · 2023
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Towards the detection of diffusion model deepfakes
Jonas Ricker, Simon Damm, Thorsten Holz, and Asja Fischer · 2023
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SepMark: Deep separable watermarking for unified source tracing and deepfake detection
Xiaoshuai Wu, Xin Liao, and Bo Ou · 2023
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Flexible and secure watermarking for latent diffusion model
Cheng Xiong, Chuan Qin, Guorui Feng, and Xinpeng Zhang · 2023
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Stable Messenger: Steganography for message-concealed image generation
Quang Nguyen, Truong Vu, Cuong Pham, Anh Tran, and Khoi Nguyen · 2023
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RoSteALS: Robust steganography using autoencoder latent space
Tu Bui, Shruti Agarwal, Ning Yu, and John Collomosse · 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
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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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Yixiong Chen · 2023
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Screen-shooting resistant watermarking with grayscale deviation simulation
Yiyi Li, Xin Liao, and Xiaoshuai Wu · 2024
Closest in time.
Print-camera resistant image watermarking with deep noise simulation and constrained learning
Chuan Qin, Xiaomeng Li, Zhenyi Zhang, Fengyong Li, Xinpeng Zhang, and Guorui Feng · 2024
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Lawa: Using latent space for in-generation image watermarking
Ahmad Rezaei, Mohammad Akbari, Saeed Ranjbar Alvar, Arezou Fatemi, and Yong Zhang · 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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