Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
imagefolder
Languages:
English
Size:
1K - 10K
ArXiv:
License:
| license: apache-2.0 | |
| task_categories: | |
| - image-classification | |
| language: | |
| - en | |
| tags: | |
| - AI-Generated-Image | |
| - Diffusion-Transformers | |
| size_categories: | |
| - 10K<n<100K | |
| Here is the released dataset (`DiTFake`) for Synthetic Image Detection (SID) proposed in our paper. | |
| > [Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective](https://arxiv.org/abs/2408.06741) | |
| This dataset contains 30,000 images in total, including synthetic images generated by three recent DiT-based models (Flux, PixArt, and SD3) and equal numbers of real images from COCO. | |
| <p align="center"> | |
| <img src="assets/statistics.png" alt="statistics" width=90%/> | |
| <img src="assets/result.png" alt="result" width=90%/> | |
| </p> | |
| More implementation details can be found in our [GitHub repository](https://github.com/Ouxiang-Li/SAFE). |