Awesome-AIGCDetection
Dataset
WildFake: A Large-scale Challenging Dataset for AI-Generated Images Detection
- Yan Hong, Jianming Feng, Haoxing Chen, Jun Lan, Huijia Zhu, Weiqiang Wang, and Jianfu Zhang. arXiv, 2024.
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
- Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang. arXiv, 2023.
CNN-generated images are surprisingly easy to spot...for now [code]
- Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros. CVPR, 2020.
2024
🆕 Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection [code]
- Chuangchuang Tan, Huan Liu, Yao Zhao, Shikui Wei, Guanghua Gu, Ping Liu, Yunchao Wei. CVPR, 2024.
🆕 LaRE^2: Latent Reconstruction Error Based Method for Diffusion-Generated Image Detection
- Yunpeng Luo, Junlong Du, Ke Yan, Shouhong Ding. CVPR, 2024.
🆕 [Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns Injection][https://arxiv.org/pdf/2403.13479]
- Davide Alessandro Coccomini, Roberto Caldelli, Claudio Gennaro, Giuseppe Fiameni, Giuseppe Amato, Fabrizio Falchi. arXiv, 2024.
🆕 Artifact Feature Purification for Cross-domain Detection of AI-generated Images
- Zheling Meng, Bo Peng, Jing Dong, Tieniu Tan. arXiv, 2024.
🆕 Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?
- Anna Yoo Jeong Ha, Josephine Passananti, Ronik Bhaskar, Shawn Shan, Reid Southen, Haitao Zheng, Ben Y. Zhao. arXiv, 2024.
🆕 Let Real lmages be as a Judger, Spotting Fake lmagesSynthesized with GenerativeModels
- Ziyou Liang, Run Wang, Weifeng Liu, Yuyang Zhang, Wenyuan Yang, Lina Wang, Xingkai Wang. arXiv, 2024.
🆕 D^3 Scaling Up Deepfake Detection by Learning from Discrepancy
- Yongqi Yang, Zhihao Qian, Ye Zhu, Yu Wu. arXiv, 2024.
🆕 CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection [code]
- Sohail Ahmed Khan, Duc-Tien Dang-Nguyen. arXiv, 2024.
🆕 Data-Independent Operator: A Training-Free Artifact Representation Extractor for Generalizable Deepfake Detection [code]
- Chuangchuang Tan, Ping Liu, RenShuai Tao, Huan Liu, Yao Zhao, Baoyuan Wu, Yunchao Wei. arXiv, 2024.
🆕 Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets [page]
- Patrick Grommelt, Louis Weiss, Franz-Josef Pfreundt, Janis Keuper. arXiv, 2024.
🆕 Bi-LORA: A Vision-Language Approach for Synthetic Image Detection
- Mamadou Keita, Wassim Hamidouche, Hessen Bougueffa Eutamene, Abdenour Hadid, Abdelmalik Taleb-Ahmed. arXiv, 2024.
🆕 Harnessing the Power of Large Vision Language Models for Synthetic Image Detection
- Mamadou Keita, Wassim Hamidouche, Hassen Bougueffa, Abdenour Hadid, Abdelmalik Taleb-Ahmed. arXiv, 2024.
🆕 Mixture of Low-rank Experts for Transferable AI-Generated Image Detection [code]
- Zihan Liu, Hanyi Wang, Yaoyu Kang, Shilin Wang. arXiv, 2024.
🆕 Detecting Image Attribution for Text-to-Image Diffusion Models in RGB and Beyond [code]
- Katherine Xu, Lingzhi Zhang, Jianbo Shi. arXiv, 2024.
On the Exploitation of DCT-Traces in the Generative-AI Domain
- Orazio Pontorno, Luca Guarnera, and Sebastiano Battiato. arXiv, 2024.
A Single Simple Patch is All You Need for AI-generated Image Detection
- Jiaxuan Chen, Jieteng Yao, and Li Niu. arXiv, 2024.
MDTL-NET: Computer-generated image detection based on multi-scale deep texture learning
- Qiang Xu, Shan Jia, Xinghao Jiang, Tanfeng Sun, Zhe Wang, and Hong Yan. Expert Systems with Applications, 2024.
AEROBLADE: Training-Free Detection of Latent Diffusion Images Using Autoencoder Reconstruction Error
- Jonas Ricker, Denis Lukovnikov, and Asja Fischer. CVPR, 2024.
Frequency Masking for Universal Deepfake Detection [code]
- Chandler Timm Doloriel, Ngai-Man Cheung. arXiv, 2024.
2023
Generalizable Synthetic Image Detection via Language-guided Contrastive Learning [code]
- Haiwei Wu, Jiantao Zhou, and Shile Zhang. arXiv, 2023.
Synthbuster: Towards Detection of Diffusion Model Generated Images
- Quentin Bammey. IEEE Open Journal of Signal Processing.
Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection
- Huan Liu, Zichang Tan, Chuangchuang Tan, Yunchao Wei, Yao Zhao, Jingdong Wang. CVPR, 2024.
Disentangling Different Levels of GAN Fingerprints for Task-specific Forensics
- Chi Liu, Tianqing Zhu, Yuan Zhao, Jun Zhang, Wanlei Zhou. Computer Standards & Interfaces, 2023.
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors
- You-Ming Chang, Chen Yeh, Wei-Chen Chiu, Ning Yu. arXiv.
Deep Image Fingerprint: Towards Low Budget Synthetic Image Detection and Model Lineage Analysis [code]
- Sergey Sinitsa, Ohad Fried. WACV, 2024
Detecting Generated Images by Real Images Only
- Xiuli Bi, Bo Liu, Fan Yang, Bin Xiao, Weisheng Li, Gao Huang, Pamela C. Cosman. arXiv.
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, Xin Wang. arXiv.
Online Detection of AI-Generated Images
- David C. Epstein, Ishan Jain, Oliver Wang, Richard Zhang. ICCV Workshop, 2023.
Detecting Images Generated by Deep Diffusion Models Using Their Local Intrinsic Dimensionality
- Peter Lorenz, Ricard L. Durall, Janis Keuper. ICCV Workshop, 2023.
Diffusion Noise Feature: Accurate and Fast Generated Image Detection
- Yichi Zhang, Xiaogang Xu. arXiv.
GenDet: Towards Good Generalizations for AI-Generated Image Detection
- Mingjian Zhu, Hanting Chen, Mouxiao Huang, Wei Li, Hailin Hu, Jie Hu, Yunhe Wang. arXiv.
Rich and Poor Texture Contrast: A Simple yet Effective Approach for AI-generated Image Detection [code]
- Nan Zhong, Yiran Xu, Zhenxing Qian, Xinpeng Zhang. arXiv.
Raising the Bar of AI-generated Image Detection with CLIP [page]
- Davide Cozzolino, Giovanni Poggi, Riccardo Corvi, Matthias Nießner, Luisa Verdoliva. arXiv.
Intriguing properties of synthetic images: from generative adversarial networks to diffusion models
- Riccardo Corvi, Davide Cozzolino, Giovanni Poggi, Koki Nagano, Luisa Verdoliva. CVPR Workshop, 2023.
Benchmarking Deepart Detection
- Yabin Wang, Zhiwu Huang, Xiaopeng Hong. arXiv.
CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images
- Jordan J. Bird, Ahmad Lotf. arXiv.
Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now [page]
- Ayush Sarkar, Hanlin Mai, Amitabh Mahapatra, Svetlana Lazebnik, D.A. Forsyth, Anand Bhattad. arXiv.
On The Detection of Synthetic Images Generated by Diffusion Models [code]
- Riccardo Corvi, Davide Cozzolino, Giada Zingarini, Giovanni Poggi, Koki Nagano, Luisa Verdoliva. ICASSP, 2023.
De-fake: Detection and attribution of fake images generated by text-to-image generation models
- Zeyang Sha, Zheng Li, Ning Yu, Yang Zhang. CCS, 2023.
Exposing fake images generated by text-to-image diffusion models
Qiang Xu, Hao Wang, Laijin Meng, Zhongjie Mi, Jianye Yuan, Hong Yan. PRL, 2023.
Towards Universal Fake Image Detectors that Generalize Across Generative Models [code]
- Utkarsh Ojha, Yuheng Li, Yong Jae Lee. CVPR, 2023.
DIRE for Diffusion-Generated Image Detection [code]
- Zhendong Wang, Jianmin Bao, Wengang Zhou, Weilun Wang, Hezhen Hu, Hong Chen, Houqiang Li. ICCV, 2023.
GLFF: Global and Local Feature Fusion for AI-synthesized Image Detection
- Yan Ju, Shan Jia, Jialing Cai, Haiying Guan, Siwei Lyu. IEEE Transactions on Multimedia, 2023.
Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection [code]
- Chuangchuang Tan, Yao Zhao, Shikui Wei, Guanghua Gu, Yunchao Wei. CVPR, 2023.
2022
Improving GAN-generated image detection generalization using unsupervised domain adaptation
- Mingxu Zhang, Hongxia Wang, Peisong He, Asad Malik, and Hanqing Liu. ICME, 2022.
Fusing Global and Local Features for Generalized AI-Synthesized Image Detection [code]
- Yan Ju, Shan Jia, Lipeng Ke, Hongfei Xue, Koki Nagano, Siwei Lyu. ICIP, 2022.
Detecting Generated Images by Real Images [code]
- Bo Liu, Fan Yang, Xiuli Bi, Bin Xiao, Weisheng Li, Xinbo Gao. ECCV, 2022.
FingerprintNet: Synthesized Fingerprints for Generated Image Detection
Yonghyun Jeong, Doyeon Kim, Youngmin Ro, Pyounggeon Kim, and Jongwon Choi. ECCV, 2022.
2021
- Are GAN generated images easy to detect? A critical analysis of the state-of-the-art
- D. Gragnaniello, D. Cozzolino, F. Marra, G. Poggi and L. Verdoliva. ICME, 2021.
2020
What Makes Fake Images Detectable? Understanding Properties that Generalize [code]
- Lucy Chai, David BauSer-Nam, and LimPhillip Isola. ECCV, 2020.
Fourier Spectrum Discrepancies in Deep Network Generated Images [code]
- Tarik Dzanic, Karan Shah, Freddie Witherden. NeurIPS, 2020.
GAN-Generated Image Detection With Self-Attention Mechanism Against GAN Generator Defect
- Zhongjie Mi, Xinghao Jiang, Tanfeng Sun, and Ke Xu. IEEE Journal of Selected Topics in Signal Processing, 2020.
Leveraging Frequency Analysis for Deep Fake Image Recognition [code]
- Joel Frank, Thorsten Eisenhofer, Lea Schönherr, Asja Fischer, Dorothea Kolossa, Thorsten Holz. PMLR, 2020.
Global Texture Enhancement for Fake Face Detection In the Wild [code]
- Zhengzhe Liu, Xiaojuan Qi, Philip H.S. Torr. CVPR, 2020.
CNN-generated images are surprisingly easy to spot...for now [code]
- Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros. CVPR, 2020.
Ricard Durall, Margret Keuper, Janis Keuper. CVPR, 2020.
Please note that the collection focuses on papers published from 2020 onwards.