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Diffusion models (DMs) have revolutionized image generation, producing high-quality images with applications spanning various fields.
Rethinking the inception architecture for computer vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna · 2016
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Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
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Xception: Deep learning with depthwise separable convolutions
François Chollet · 2017
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Detection of gan-generated fake images over social networks
Francesco Marra, Diego Gragnaniello, Davide Cozzolino, and Luisa Verdoliva · 2018
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Faceforensics++: Learning to detect manipulated facial images
Andreas Rossler et al · 2019
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Denoising diffusion probabilistic models
Jonathan Ho et al · 2020
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Score-based generative modeling through stochastic differential equations
Yang Song et al · 2020
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Deepfake detection: Current challenges and next steps
Siwei Lyu · 2020
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Learning by minimizing the sum of ranked range
Shu Hu, Yiming Ying, Siwei Lyu, et al · 2020
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Sharpness-aware minimization for efficiently improving generalization
Pierre Foret, Ariel Kleiner, Hossein Mobahi, and Behnam Neyshabur · 2020
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Exposing gan-generated faces using inconsistent corneal specular highlights
Shu Hu, Yuezun Li, and Siwei Lyu · 2021
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Learning transferable visual models from natural language supervision, 2021
Alec Radford et al · 2021
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Improved denoising diffusion probabilistic models
Alexander Quinn Nichol and Prafulla Dhariwal · 2021
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Tkml-ap: Adversarial attacks to top-k multi-label learning
Shu Hu, Lipeng Ke, Xin Wang, and Siwei Lyu · 2021
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Laion-400m: Open dataset of clip-filtered 400 million image-text pairs
Christoph Schuhmann et al · 2021
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Lighting (in)consistency of paint by text
Hany Farid · 2022
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Open-eye: An open platform to study human performance on identifying ai-synthesized faces
Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, and Siwei Lyu · 2022
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Eyes tell all: Irregular pupil shapes reveal gan-generated faces
Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, and Siwei Lyu · 2022
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Gan-generated faces detection: A survey and new perspectives
Xin Wang, Hui Guo, Shu Hu, Ming-Ching Chang, and Siwei Lyu · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach et al · 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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Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia et al · 2022
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Perspective (in) consistency of paint by text
Hany Farid · 2022
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Distributionally robust survival analysis: A novel fairness loss without demographics
Shu Hu and George H Chen · 2022
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Sum of ranked range loss for supervised learning
Shu Hu, Yiming Ying, Xin Wang, and Siwei Lyu · 2022
Cited alongside, same era.
Conditional diffusion models for semantic 3d brain mri synthesis
Zolnamar Dorjsembe, Hsing-Kuo Pao, Sodtavilan Odonchimed, and Furen Xiao · 2024
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Mvd-fusion: Single-view 3d via depth-consistent multi-view generation
Hanzhe Hu, Zhizhuo Zhou, Varun Jampani, and Shubham Tulsiani · 2024
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Segmentation-guided knee radiograph generation using conditional diffusion models
Siyuan Mei et al · 2024
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Future-proofing class incremental learning
Quentin Jodelet, Xin Liu, Yin Jun Phua, and Tsuyoshi Murata · 2024
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Would deep generative models amplify bias in future models?
Tianwei Chen, Yusuke Hirota, Mayu Otani, Noa Garcia, and Yuta Nakashima · 2024
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Comat: Aligning text-to-image diffusion model with image-to-text concept matching
Dongzhi Jiang et al · 2024
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Learning a deep dual-level network for robust deepfake detection
Wenbo Pu et al · 2022
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Robust attentive deep neural network for detecting gan-generated faces
Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, and Siwei Lyu · 2022
Cited alongside, same era.
Raising the bar of ai-generated image detection with clip
Davide Cozzolino, Giovanni Poggi, Riccardo Corvi, Matthias Nießner, and Luisa Verdoliva · 2023
Cited alongside, same era.
De-fake: Detection and attribution of fake images generated by text-to-image generation models
Zeyang Sha, Zheng Li, Ning Yu, and Yang Zhang · 2023
Cited alongside, same era.
X-transfer: A transfer learning-based framework for robust gan-generated fake image detection
Lei Zhang, Hao Chen, Shu Hu, Bin Zhu, Xi Wu, Jinrong Hu, and Xin Wang · 2023
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Improving cross-dataset deepfake detection with deep information decomposition
Shanmin Yang, Shu Hu, Bin Zhu, Ying Fu, Siwei Lyu, Xi Wu, and Xin Wang · 2023
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Lcm-lookahead for encoder-based text-to-image personalization
Rinon Gal et al · 2024
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Mastering deepfake detection: A cutting-edge approach to distinguish gan and diffusion-model images
Luca Guarnera, Oliver Giudice, and Sebastiano Battiato · 2024
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Bi-lora: A vision-language approach for synthetic image detection
Mamadou Keita, Chloé Clavel, and Thomas Pellegrini · 2024
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Clipping the deception: Adapting vision-language models for universal deepfake detection
Sohail Ahmed Khan and Duc-Tien Dang-Nguyen · 2024
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Towards the detection of ai-synthesized human face images
Yuhang Lu and Touradj Ebrahimi · 2024
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Conditional diffusion models for semantic 3d brain mri synthesis
Zolnamar Dorjsembe, Hsing-Kuo Pao, Sodtavilan Odonchimed, and Furen Xiao · 2024
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Detecting multimedia generated by large ai models: A survey
Li Lin, Neeraj Gupta, Yue Zhang, Hainan Ren, Chun-Hao Liu, Feng Ding, Xin Wang, Xin Li, Luisa Verdoliva, and Shu Hu · 2024
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Synthesizing black-box anti-forensics deepfakes with high visual quality
Bing Fan, Shu Hu, and Feng Ding · 2024
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Robust covid-19 detection in ct images with clip
Li Lin, Yamini Sri Krubha, Zhenhuan Yang, Cheng Ren, Xin Wang, and Shu Hu · 2024
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Robust light-weight facial affective behavior recognition with clip
Li Lin et al · 2024
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Preserving fairness generalization in deepfake detection
Li Lin, Xinan He, Yan Ju, Xin Wang, Feng Ding, and Shu Hu · 2024
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Improving fairness in deepfake detection
Yan Ju, Shu Hu, Shan Jia, George H Chen, and Siwei Lyu · 2024
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Outlier robust adversarial training
Shu Hu, Zhenhuan Yang, Xin Wang, Yiming Ying, and Siwei Lyu · 2024
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