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The image deepfake detection task has been greatly addressed by the scientific community to discriminate real images from those generated by Artificial Intelligence (AI) models: a binary classification task.
“Generative Adversarial Nets,”
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, · 2014
Earlier work this paper cites.
“Deep Unsupervised Learning Using Nonequilibrium Thermodynamics,”
J. Sohl-Dickstein, E. Weiss, N. Maheswaranathan, and S. Ganguli, · 2015
Earlier work this paper cites.
“Deep Learning Face Attributes in the Wild,”
Z. Liu, P. Luo, X. Wang, and X. Tang, · 2015
Earlier work this paper cites.
“ImageNet Large Scale Visual Recognition Challenge,”
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al., · 2015
Earlier work this paper cites.
“Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks,”
J. Zhu, T. Park, P. Isola, and A. Efros, · 2017
Earlier work this paper cites.
“Progressive Growing of GANs for Improved Quality, Stability, and Variation,”
T. Karras, T. Aila, S. Laine, and J. Lehtinen, · 2017
Earlier work this paper cites.
“StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-image Translation,”
Y. Choi, M. Choi, M. Kim, J. Ha, S. Kim, and J. Choo, · 2018
Earlier work this paper cites.
“Detecting and Simulating Artifacts in GAN Fake Images,”
X. Zhang, S. Karaman, and S. Chang, · 2019
Earlier work this paper cites.
“Fakespotter: A Simple Yet Robust Baseline for Spotting AI-Synthesized Fake Faces,”
R. Wang, F. Juefei-Xu, L. Ma, X. Xie, Y. Huang, J. Wang, and Y. Liu, · 2019
Earlier work this paper cites.
“AttGAN: Facial Attribute Editing by Only Changing What You Want,”
Z. He, W. Zuo, M. Kan, S. Shan, and X. Chen, · 2019
Earlier work this paper cites.
“Image-to-Image Translation via Group-Wise Deep Whitening-and-Coloring Transformation,”
W. Cho, S. Choi, D. K. Park, I. Shin, and J. Choo, · 2019
Cited alongside, same era.
“Diverse Image Synthesis from Semantic Layouts via Conditional IMLE,”
K. Li, T. Zhang, and J. Malik, · 2019
Cited alongside, same era.
“A Style-based Generator Architecture for Generative Adversarial Networks,”
T. Karras, S. Laine, and T. Aila, · 2019
Cited alongside, same era.
“Denoising Diffusion Probabilistic Models,”
J. Ho, A. Jain, and P. Abbeel, · 2020
Cited alongside, same era.
“CNN-Generated Images are Surprisingly Easy to Spot… for Now,”
S. Wang, O. Wang, R. Zhang, A. Owens, and A. Efros, · 2020
Cited alongside, same era.
“Fighting Deepfake by Exposing the Convolutional Traces on Images,”
L. Guarnera, O. Giudice, and S. Battiato, · 2020
“Fighting Deepfakes by Detecting GAN DCT Anomalies,”
O. Giudice, L. Guarnera, and S. Battiato, · 2021
Later among the works it cites.
“Glide: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models,”
A. Nichol, P. Dhariwal, A. Ramesh, P. Shyam, P. Mishkin, B. McGrew, I. Sutskever, and M. Chen, · 2021
Later among the works it cites.
“Deepfakes Generation and Detection: State-of-the-art, Open Challenges, Countermeasures, and Way Forward,”
M. Masood, M. Nawaz, K. M. Malik, A. Javed, A. Irtaza, and H. Malik, · 2022
Later among the works it cites.
“High-Resolution Image Synthesis With Latent Diffusion Models,”
R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer, · 2022
Later among the works it cites.
“Hierarchical Text-Conditional Image Generation with Clip Latents,”
A. Ramesh, P. Dhariwal, A. Nichol, C. Chu, and M. Chen, · 2022
Later among the works it cites.
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Cited alongside, same era.
“StarGAN v2: Diverse Image Synthesis for Multiple Domains,”
Y. Choi, Y. Uh, J. Yoo, and J. Ha, · 2020
Cited alongside, same era.
“Analyzing and Improving the Image Quality of StyleGAN,”
T. Karras, S. Laine, M. Aittala, J. Hellsten, J. Lehtinen, and T. Aila, · 2020
Cited alongside, same era.
“A Survey of Machine Learning Techniques in Adversarial Image Forensics,”
E. Nowroozi, A. Dehghantanha, R. M Parizi, and K. Choo, · 2021
Cited alongside, same era.
“Diffusion Models Beat GANs on Image Synthesis,”
P. Dhariwal and A. Nichol, · 2021
Cited alongside, same era.
“DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Diffusion Models,”
Z. Sha, Z. Li, N. Yu, and Y. Zhang, · 2022
Later among the works it cites.
“On the Detection of Synthetic Images Generated by Diffusion Models,”
R. Corvi, D. Cozzolino, G. Zingarini, G. Poggi, K. Nagano, and L. Verdoliva, · 2022
Later among the works it cites.
“Deepfake Style Transfer Mixture: A First Forensic Ballistics Study on Synthetic Images,”
L. Guarnera, O. Giudice, and S. Battiato, · 2022
Later among the works it cites.
“On the Exploitation of Deepfake Model Recognition,”
L. Guarnera, O. Giudice, M. Nießner, and S. Battiato, · 2022
Later among the works it cites.