--- license: cc-by-nc-sa-4.0 datasets: - HorizonTEL/AIGIBench ---

Is Artificial Intelligence Generated Image Detection a Solved Problem?

[Ziqiang Li](https://scholar.google.com/citations?user=mj5a8WgAAAAJ&hl=zh-CN)1, [Jiazhen Yan](https://scholar.google.com/citations?user=QkURh8EAAAAJ&hl=zh-CN)1, [Ziwen He](https://scholar.google.com/citations?user=PjkDK9cAAAAJ&hl=zh-CN)1, [Kai Zeng](https://scholar.google.com.hk/citations?user=TsI93SIAAAAJ&hl=zh-CN)2, [Weiwei Jiang](https://scholar.google.co.jp/citations?user=mbPN0hgAAAAJ&hl=zh-CN)1, [Lizhi Xiong](https://scholar.google.com/citations?user=-FzrEP4AAAAJ&hl=zh-CN)1, [Zhangjie Fu](https://scholar.google.com/citations?user=fO9NmagAAAAJ&hl=zh-CN)1‡

‡Corresponding author

1Nanjing University of Information Science and Technology 2University of Siena
**This repository is the official pre-trained checkpoints of the AIGIBench in Setting-II**: Training on 144K images generated by both SD-v1.4 and ProGAN, covering the same four object categories. Of course, if you need the code from the original paper, the following is the corresponding detection code in the paper： - [ResNet-50](https://github.com/huggingface/pytorch-image-models/tree/v0.6.12/timm): Deep Residual Learning for Image Recognition - [CNNDetection](https://github.com/PeterWang512/CNNDetection): CNN-generated images are surprisingly easy to spot...for now - [GramNet](https://github.com/liuzhengzhe/Global_Texture_Enhancement_for_Fake_Face_Detection_in_the-Wild): Global Texture Enhancement for Fake Face Detection in the Wild - [LGrad](https://github.com/chuangchuangtan/LGrad): Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection - [CLIPDetection](https://github.com/WisconsinAIVision/UniversalFakeDetect): Towards Universal Fake Image Detectors that Generalize Across Generative Models - [FreqNet](https://github.com/chuangchuangtan/FreqNet-DeepfakeDetection): FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform - [NPR](https://github.com/chuangchuangtan/NPR-DeepfakeDetection): Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection - [DFFreq](https://arxiv.org/abs/2501.15253): Dual Frequency Branch Framework with Reconstructed Sliding Windows Attention for AI-Generated Image Detection - [LaDeDa](https://github.com/barcavia/RealTime-DeepfakeDetection-in-the-RealWorld): Real-Time Deepfake Detection in the Real-World - [AIDE](https://github.com/shilinyan99/AIDE): A Sanity Check for AI-generated Image Detection - [SAFE](https://github.com/Ouxiang-Li/SAFE): Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspectives If this project helps you, please fork, watch, and give a star to this repository. ## Contact If you have any question about this project, please feel free to contact 247918horizon@gmail.com