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Modern text-to-image (T2I) diffusion models can generate images with remarkable realism and creativity.
Generative adversarial networks, 2014
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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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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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Texture synthesis using convolutional neural networks, 2015
Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge · 2015
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Microsoft coco: Common objects in context, 2015
Tsung-Yi Lin, Michael Maire, Serge Belongie, Lubomir Bourdev, Ross Girshick, James Hays, Pietro Perona, Deva Ramanan, C. Lawrence Zitnick, and Piotr Dollár · 2015
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Image style transfer using convolutional neural networks
Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge · 2016
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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Learning to see in the dark, 2018
Chen Chen, Qifeng Chen, Jia Xu, and Vladlen Koltun · 2018
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Do gans leave artificial fingerprints?, 2018
Francesco Marra, Diego Gragnaniello, Luisa Verdoliva, and Giovanni Poggi · 2018
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Second-order attention network for single image super-resolution
Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, and Lei Zhang · 2019
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Decoupled weight decay regularization, 2019
Ilya Loshchilov and Frank Hutter · 2019
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Incremental learning for the detection and classification of gan-generated images, 2019
Francesco Marra, Cristiano Saltori, Giulia Boato, and Luisa Verdoliva · 2019
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Exploiting visual artifacts to expose deepfakes and face manipulations
Falko Matern, Christian Riess, and Marc Stamminger · 2019
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Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2019
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Attributing fake images to gans: Learning and analyzing gan fingerprints, 2019
Ning Yu, Larry Davis, and Mario Fritz · 2019
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What makes fake images detectable? understanding properties that generalize, 2020
Lucy Chai, David Bau, Ser-Nam Lim, and Phillip Isola · 2020
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Watch your up-convolution: Cnn based generative deep neural networks are failing to reproduce spectral distributions, 2020
Ricard Durall, Margret Keuper, and Janis Keuper · 2020
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Fourier spectrum discrepancies in deep network generated images, 2020
Tarik Dzanic, Karan Shah, and Freddie Witherden · 2020
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Leveraging frequency analysis for deep fake image recognition, 2020
Joel Frank, Thorsten Eisenhofer, Lea Schönherr, Asja Fischer, Dorothea Kolossa, and Thorsten Holz · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Global texture enhancement for fake face detection in the wild, 2020
Zhengzhe Liu, Xiaojuan Qi, and Philip Torr · 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, 2020
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, and Alexei A. Efros · 2020
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Pytorch library for cam methods
Jacob Gildenblat and contributors · 2021
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Towards discovery and attribution of open-world gan generated images, 2021
Sharath Girish, Saksham Suri, Saketh Rambhatla, and Abhinav Shrivastava · 2021
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Are gan generated images easy to detect? a critical analysis of the state-of-the-art, 2021
Diego Gragnaniello, Davide Cozzolino, Francesco Marra, Giovanni Poggi, and Luisa Verdoliva · 2021
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Lora: Low-rank adaptation of large language models, 2021
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
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Sdedit: Guided image synthesis and editing with stochastic differential equations
Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon · 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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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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Repmix: Representation mixing for robust attribution of synthesized images, 2022
Tu Bui, Ning Yu, and John Collomosse · 2022
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On the detection of synthetic images generated by diffusion models, 2022
Riccardo Corvi, Davide Cozzolino, Giada Zingarini, Giovanni Poggi, Koki Nagano, and Luisa Verdoliva · 2022
Cited alongside, same era.
Think twice before detecting gan-generated fake images from their spectral domain imprints
Chengdong Dong, Ajay Kumar, and Eryun Liu · 2022
Cited alongside, same era.
Single-model attribution of generative models through final-layer inversion
Mike Laszkiewicz, Jonas Ricker, Johannes Lederer, and Asja Fischer · 2023
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Latent consistency models: Synthesizing high-resolution images with few-step inference, 2023
Simian Luo, Yiqin Tan, Longbo Huang, Jian Li, and Hang Zhao · 2023
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Towards universal fake image detectors that generalize across generative models, 2023
Utkarsh Ojha, Yuheng Li, and Yong Jae Lee · 2023
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Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al · 2023
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Wuerstchen: An efficient architecture for large-scale text-to-image diffusion models, 2023
Pablo Pernias, Dominic Rampas, Mats L. Richter, Christopher J. Pal, and Marc Aubreville · 2023
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Fusing global and local features for generalized ai-synthesized image detection, 2022
Yan Ju, Shan Jia, Lipeng Ke, Hongfei Xue, Koki Nagano, and Siwei Lyu · 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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Efficientformer: Vision transformers at mobilenet speed
Yanyu Li, Geng Yuan, Yang Wen, Ju Hu, Georgios Evangelidis, Sergey Tulyakov, Yanzhi Wang, and Jian Ren · 2022
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Hierarchical text-conditional image generation with clip latents, 2022
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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High-resolution image synthesis with latent diffusion models, 2022
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
Cited alongside, same era.
Laion-5b: An open large-scale dataset for training next generation image-text models, 2022
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, and Jenia Jitsev · 2022
Cited alongside, same era.
Diffusers: State-of-the-art diffusion models
Patrick von Platen, Suraj Patil, Anton Lozhkov, Pedro Cuenca, Nathan Lambert, Kashif Rasul, Mishig Davaadorj, and Thomas Wolf · 2022
Cited alongside, same era.
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Sdxl: Improving latent diffusion models for high-resolution image synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach · 2023
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Kandinsky: an improved text-to-image synthesis with image prior and latent diffusion, 2023
Anton Razzhigaev, Arseniy Shakhmatov, Anastasia Maltseva, Vladimir Arkhipkin, Igor Pavlov, Ilya Ryabov, Angelina Kuts, Alexander Panchenko, Andrey Kuznetsov, and Denis Dimitrov · 2023
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Shadows don’t lie and lines can’t bend! generative models don’t know projective geometry…for now, 2023
Ayush Sarkar, Hanlin Mai, Amitabh Mahapatra, Svetlana Lazebnik, D. A. Forsyth, and Anand Bhattad · 2023
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Adversarial diffusion distillation
Axel Sauer, Dominik Lorenz, Andreas Blattmann, and Robin Rombach · 2023
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De-fake: Detection and attribution of fake images generated by text-to-image generation models, 2023
Zeyang Sha, Zheng Li, Ning Yu, and Yang Zhang · 2023
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Deep image fingerprint: Towards low budget synthetic image detection and model lineage analysis, 2023
Sergey Sinitsa and Ohad Fried · 2023
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Learning on gradients: Generalized artifacts representation for gan-generated images detection
Chuangchuang Tan, Yao Zhao, Shikui Wei, Guanghua Gu, and Yunchao Wei · 2023
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Frequency-aware attentional feature fusion for deepfake detection
Cheng Tian, Zhiming Luo, Guimin Shi, and Shaozi Li · 2023
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Dire for diffusion-generated image detection, 2023
Zhendong Wang, Jianmin Bao, Wengang Zhou, Weilun Wang, Hezhen Hu, Hong Chen, and Houqiang Li · 2023
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Generalizable synthetic image detection via language-guided contrastive learning, 2023
Haiwei Wu, Jiantao Zhou, and Shile Zhang · 2023
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What does stable diffusion know about the 3d scene?, 2023
Guanqi Zhan, Chuanxia Zheng, Weidi Xie, and Andrew Zisserman · 2023
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Diffusion noise feature: Accurate and fast generated image detection, 2023
Yichi Zhang and Xiaogang Xu · 2023
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Gendet: Towards good generalizations for ai-generated image detection, 2023
Mingjian Zhu, Hanting Chen, Mouxiao Huang, Wei Li, Hailin Hu, Jie Hu, and Yunhe Wang · 2023
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A single simple patch is all you need for ai-generated image detection, 2024
Jiaxuan Chen, Jieteng Yao, and Li Niu · 2024
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Organic or diffused: Can we distinguish human art from ai-generated images?, 2024
Anna Yoo Jeong Ha, Josephine Passananti, Ronik Bhaskar, Shawn Shan, Reid Southen, Haitao Zheng, and Ben Y. Zhao · 2024
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Model-agnostic origin attribution of generated images with few-shot examples
Fengyuan Liu, Haochen Luo, Yiming Li, Philip Torr, and Jindong Gu · 2024
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Grounded sam: Assembling open-world models for diverse visual tasks
Tianhe Ren, Shilong Liu, Ailing Zeng, Jing Lin, Kunchang Li, He Cao, Jiayu Chen, Xinyu Huang, Yukang Chen, Feng Yan, et al · 2024
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Towards the detection of diffusion model deepfakes, 2024
Jonas Ricker, Simon Damm, Thorsten Holz, and Asja Fischer · 2024
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Where did i come from? origin attribution of ai-generated images
Zhenting Wang, Chen Chen, Yi Zeng, Lingjuan Lyu, and Shiqing Ma · 2024
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Depth anything: Unleashing the power of large-scale unlabeled data
Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, and Hengshuang Zhao · 2024
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Unipc: A unified predictor-corrector framework for fast sampling of diffusion models
Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, and Jiwen Lu · 2024
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Patchcraft: Exploring texture patch for efficient ai-generated image detection, 2024
Nan Zhong, Yiran Xu, Sheng Li, Zhenxing Qian, and Xinpeng Zhang · 2024
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