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The rapid advancement of generative models, facilitating the creation of hyper-realistic images from textual descriptions, has concurrently escalated critical societal concerns such as misinformation.
Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 1912
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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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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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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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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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Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Embedding watermarks into deep neural networks
Yusuke Uchida, Yuki Nagai, Shigeyuki Sakazawa, and Shin’ichi Satoh · 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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Joint autoregressive and hierarchical priors for learned image compression
David Minnen, Johannes Ballé, and George Toderici · 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 bizarre and terrifying case of the “deepfake” video that helped bring an african nation to the brink
Ali Breland · 2019
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Deepsigns: An end-to-end watermarking framework for ownership protection of deep neural networks
Bita Darvish Rouhani, Huili Chen, and Farinaz Koushanfar · 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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Kornia: an open source differentiable computer vision library for pytorch
E. Riba, D. Mishkin, D. Ponsa, E. Rublee, and G. Bradski · 2020
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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Stegastamp: Invisible hyperlinks in physical photographs
Matthew Tancik, Ben Mildenhall, and Ren Ng · 2020
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Responsible disclosure of generative models using scalable fingerprinting
Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry Davis, and Mario Fritz · 2020
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Alexander Quinn Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob Mcgrew, Ilya Sutskever, and Mark Chen · 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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Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
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Laion-5b: An open large-scale dataset for training next generation image-text models
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Taming transformers for high-resolution image synthesis
Patrick Esser, Robin Rombach, and Bjorn Ommer · 2021
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Clipscore: A reference-free evaluation metric for image captioning
Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, and Yejin Choi · 2021
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Decentralized attribution of generative models
Changhoon Kim, Yi Ren, and Yezhou Yang · 2021
Cited alongside, same era.
A survey of deep neural network watermarking techniques
Yue Li, Hongxia Wang, and Mauro Barni · 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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Progressive distillation for fast sampling of diffusion models
Tim Salimans and Jonathan Ho · 2021
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Riga: Covert and robust white-box watermarking of deep neural networks
Tianhao Wang and Florian Kerschbaum · 2021
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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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Attend-and-excite: Attention-based semantic guidance for text-to-image diffusion models
Hila Chefer, Yuval Alaluf, Yael Vinker, Lior Wolf, and Daniel Cohen-Or · 2023
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Training-free layout control with cross-attention guidance
Minghao Chen, Iro Laina, and Andrea Vedaldi · 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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New ai voice-cloning tools ‘add fuel’ to misinformation fire
Arijeta Lajka · 2023
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Latent consistency models: Synthesizing high-resolution images with few-step inference
Simian Luo, Yiqin Tan, Longbo Huang, Jian Li, and Hang Zhao · 2023
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Attributing image generative models using latent fingerprints
Guangyu Nie, Changhoon Kim, Yezhou Yang, and Yi Ren · 2023
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Ai image creator midjourney halts free trials but it has nothing to do with the pope’s jacket
Matt Novak · 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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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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λ \lambda -eclipse: Multi-concept personalized text-to-image diffusion models by leveraging clip latent space
Maitreya Patel, Sangmin Jung, Chitta Baral, and Yezhou Yang · 2024
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