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Recent advances in large-scale text-to-image (T2I) diffusion models have enabled a variety of downstream applications, including style customization, subject-driven personalization, and conditional generation.
A computational approach to edge detection
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, A.C. Bovik, H.R. Sheikh, and E.P. Simoncelli · 2004
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2010
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Security issues in cloud computing and countermeasures
Danish Jamil and Hassan Zaki · 2011
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Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2011
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Insider threats to cloud computing: Directions for new research challenges
William R Claycomb and Alex Nicoll · 2012
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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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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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Malware detection in cloud computing infrastructures
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Wasserstein generative adversarial networks
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Jpeg-resistant adversarial images
Richard Shin and Dawn Song · 2017
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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, 2018
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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Common sense guide to mitigating insider threats
Michael Theis, Randall F Trzeciak, Daniel L Costa, Andrew P Moore, Sarah Miller, Tracy Cassidy, and William R Claycomb · 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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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Countering language drift with seeded iterated learning
Yuchen Lu, Soumye Singhal, Florian Strub, Aaron Courville, and Olivier Pietquin · 2020
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Stegastamp: Invisible hyperlinks in physical photographs
Matthew Tancik, Ben Mildenhall, and Ren Ng · 2020
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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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 · 2021
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A survey of deep neural network watermarking techniques
Yue Li, Hongxia Wang, and Mauro Barni · 2021
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen · 2021
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Improved denoising diffusion probabilistic models
Alexander Quinn Nichol and Prafulla Dhariwal · 2021
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Protecting intellectual property of generative adversarial networks from ambiguity attacks
Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, and Qiang Yang · 2021
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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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ediff-i: Text-to-image diffusion models with an ensemble of expert denoisers
Yogesh Balaji, Seungjun Nah, Xun Huang, Arash Vahdat, Jiaming Song, Qinsheng Zhang, Karsten Kreis, Miika Aittala, Timo Aila, Samuli Laine, et al · 2022
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Naruto blip captions
Eole Cervenka · 2022
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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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Elucidating the design space of diffusion-based generative models
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
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Text-to-image diffusion models can be easily backdoored through multimodal data poisoning
Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, and Hang Su · 2023
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Adding conditional control to text-to-image diffusion models
Lvmin Zhang, Anyi Rao, and Maneesh Agrawala · 2023
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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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Wmadapter: Adding watermark control to latent diffusion models
Hai Ci, Yiren Song, Pei Yang, Jinheng Xie, and Mike Zheng Shou · 2024
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Enyan Dai, Minhua Lin, and Suhang Wang · 2024
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Evaluating the robustness of trigger set-based watermarks embedded in deep neural networks
Suyoung Lee, Wonho Song, Suman Jana, Meeyoung Cha, and Sooel Son · 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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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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Understanding diffusion models: A unified perspective, 2022
Calvin Luo · 2022
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On aliased resizing and surprising subtleties in gan evaluation
Gaurav Parmar, Richard Zhang, and Jun-Yan Zhu · 2022
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 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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Scaling rectified flow transformers for high-resolution image synthesis
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Wide flat minimum watermarking for robust ownership verification of gans
Jianwei Fei, Zhihua Xia, Benedetta Tondi, and Mauro Barni · 2024
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Aqualora: Toward white-box protection for customized stable diffusion models via watermark lora
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Wouaf: Weight modulation for user attribution and fingerprinting in text-to-image diffusion models
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Diffusetrace: A transparent and flexible watermarking scheme for latent diffusion model
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Lazy layers to make fine-tuned diffusion models more traceable
Haozhe Liu, Wentian Zhang, Bing Li, Bernard Ghanem, and Jürgen Schmidhuber · 2024
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Ssl-wm: A black-box watermarking approach for encoders pre-trained by self-supervised learning, 2024
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Latent watermark: Inject and detect watermarks in latent diffusion space
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Midjourney home page
midjourney · 2024
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A watermark-conditioned diffusion model for ip protection
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T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models
Chong Mou, Xintao Wang, Liangbin Xie, Yanze Wu, Jian Zhang, Zhongang Qi, and Ying Shan · 2024
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Spire: Semantic prompt-driven image restoration
Chenyang Qi, Zhengzhong Tu, Keren Ye, Mauricio Delbracio, Peyman Milanfar, Qifeng Chen, and Hossein Talebi · 2024
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Copyright protection in generative ai: A technical perspective
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Stable signature
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Lawa: Using latent space for in-generation image watermarking
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https://huggingface.co/stabilityai/sd-vae-ft-mse, 2024
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Invisible watermark
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Tree-rings watermarks: Invisible fingerprints for diffusion images
Yuxin Wen, John Kirchenbauer, Jonas Geiping, and Tom Goldstein · 2024
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Diffusion models: A comprehensive survey of methods and applications, 2024
Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, and Ming-Hsuan Yang · 2024
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On the trustworthiness of generative foundation models: Guideline, assessment, and perspective
Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, et al · 2025
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