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The rapid advancement of generative models has introduced serious risks, including deepfake techniques for facial synthesis and editing.
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Tero Karras · 2017
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Andrew Brock · 2018
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Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2018
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Dan Hendrycks and Thomas Dietterich · 2019
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WhichFaceisReal · 2019
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Faceforensics++: Learning to detect manipulated facial images
Andreas Rossler, Davide Cozzolino, Luisa Verdoliva, Christian Riess, Justus Thies, and Matthias Nießner · 2019
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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Leveraging frequency analysis for deep fake image recognition
Joel Frank, Thorsten Eisenhofer, Lea Schönherr, Asja Fischer, Dorothea Kolossa, and Thorsten Holz · 2020
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Cnn-generated images are surprisingly easy to spot… for now
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, and Alexei A Efros · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy · 2020
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Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
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Celeb-df: A large-scale challenging dataset for deepfake forensics
Yuezun Li, Xin Yang, Pu Sun, Honggang Qi, and Siwei Lyu · 2020
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Stargan v2: Diverse image synthesis for multiple domains
Yunjey Choi, Youngjung Uh, Jaejun Yoo, and Jung-Woo Ha · 2020
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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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Representative forgery mining for fake face detection
Chengrui Wang and Weihong Deng · 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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Taming transformers for high-resolution image synthesis
Patrick Esser, Robin Rombach, and Bjorn Ommer · 2021
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Stylegan-xl: Scaling stylegan to large diverse datasets
Axel Sauer, Katja Schwarz, and Andreas Geiger · 2022
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https://www.heygen.com., 2022
HeyGen · 2022
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Ai-generated image detection using a cross-attention enhanced dual-stream network
Ziyi Xi, Wenmin Huang, Kangkang Wei, Weiqi Luo, and Peijia Zheng · 2023
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Dinov2: Learning robust visual features without supervision
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On the detection of synthetic images generated by diffusion models
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ibot: Image bert pre-training with online tokenizer
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Alias-free generative adversarial networks
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Styleclip: Text-driven manipulation of stylegan imagery
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Collaborative diffusion for multi-modal face generation and editing
Ziqi Huang, Kelvin CK Chan, Yuming Jiang, and Ziwei Liu · 2023
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https://xihe.mindspore.cn/modelzoo., 2023
Wukong · 2023
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