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Ethical concerns surrounding copyright protection and inappropriate content generation pose challenges for the practical implementation of diffusion models.
A digital watermark
Ron G Van Schyndel, Andrew Z Tirkel, and Charles F Osborne · 1994
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A robust digital image watermarking method using wavelet-based fusion
Deepa Kundur and Dimitrios Hatzinakos · 1997
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Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner · 1998
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Joint wavelet and spatial transformation for digital watermarking
Min-Jen Tsai, Kuang-Yao Yu, and Yi-Zhang Chen · 2000
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Digital image watermarking for joint ownership
Huiping Guo and Nicolas D Georganas · 2002
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Provably secure steganography
Nicholas J Hopper, John Langford, and Luis Von Ahn · 2002
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Combined dwt-dct digital image watermarking
Ali Al-Haj · 2007
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Digital watermarking and steganography
Ingemar Cox, Matthew Miller, Jeffrey Bloom, Jessica Fridrich, and Ton Kalker · 2007
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Reversible image watermarking based on integer-to-integer wavelet transform
Sunil Lee, Chang D Yoo, and Ton Kalker · 2007
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Chacha, a variant of salsa20
Daniel J Bernstein et al · 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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An application of multidimensional time-frequency analysis as a base for the unified watermarking approach
Srdjan Stankovic, Irena Orovic, and Nikola Zaric · 2009
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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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Deep unsupervised learning using nonequilibrium thermodynamics
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli · 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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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 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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Hybrid blind robust image watermarking technique based on dft-dct and arnold transform
Mohamed Hamidi, Mohamed El Haziti, Hocine Cherifi, and Mohammed El Hassouni · 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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Generative modeling by estimating gradients of the data distribution
Yang Song and Stefano Ermon · 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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Learned image compression with discretized gaussian mixture likelihoods and attention modules
Zhengxue Cheng, Heming Sun, Masaru Takeuchi, and Jiro Katto · 2020
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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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Artificial fingerprinting for generative models: Rooting deepfake attribution in training data
Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi, and Mario Fritz · 2021
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Vector quantized diffusion model for text-to-image synthesis
Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan, and Baining Guo · 2022
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Classifier-free diffusion guidance
Jonathan Ho and Tim Salimans · 2022
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Pseudo numerical methods for diffusion models on manifolds
Luping Liu, Yi Ren, Zhijie Lin, and Zhou Zhao · 2022
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Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Distortion agnostic deep watermarking
Xiyang Luo, Ruohan Zhan, Huiwen Chang, Feng Yang, and Peyman Milanfar · 2020
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Stegastamp: Invisible hyperlinks in physical photographs
Matthew Tancik, Ben Mildenhall, and Ren Ng · 2020
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Udh: Universal deep hiding for steganography, watermarking, and light field messaging
Chaoning Zhang, Philipp Benz, Adil Karjauv, Geng Sun, and In So Kweon · 2020
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An automated and robust image watermarking scheme based on deep neural networks
Xin Zhong, Pei-Chi Huang, Spyridon Mastorakis, and Frank Y Shih · 2020
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Distribution-preserving steganography based on text-to-speech generative models
Kejiang Chen, Hang Zhou, Hanqing Zhao, Dongdong Chen, Weiming Zhang, and Nenghai Yu · 2021
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps
Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, and Jun Zhu · 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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Fast sampling of diffusion models with exponential integrator
Qinsheng Zhang and Yongxin Chen · 2022
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Reproducible scaling laws for contrastive language-image learning
Mehdi Cherti, Romain Beaumont, Ross Wightman, Mitchell Wortsman, Gabriel Ilharco, Cade Gordon, Christoph Schuhmann, Ludwig Schmidt, and Jenia Jitsev · 2023
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Diffusionshield: A watermark for copyright protection against generative diffusion models
Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, and Jiliang Tang · 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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Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, and Yang Zhang · 2023
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Edict: Exact diffusion inversion via coupled transformations
Bram Wallace, Akash Gokul, and Nikhil Naik · 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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Flexible and secure watermarking for latent diffusion model
Cheng Xiong, Chuan Qin, Guorui Feng, and Xinpeng Zhang · 2023
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On the robustness of diffusion inversion in image manipulation
Jiaxin Zhang, Kamalika Das, and Sricharan Kumar · 2023
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