Dataset Groups Activity Stream DEFAKE: A Large-Scale Dataset for Real-World Face Forgery Detection The DEFAKE dataset is a large-scale dataset for real-world face forgery detection, containing 6,000 images generated by Stable Diffusion. BibTex: @dataset{Yinan_He_and_Bei_Gan_and_Siyu_Chen_and_Yichun_Zhou_and_Guojun_Yin_and_Lu_Sheng_and_Jing_Shao_2024, abstract = {The DEFAKE dataset is a large-scale dataset for real-world face forgery detection, containing 6,000 images generated by Stable Diffusion.}, author = {Yinan He and Bei Gan and Siyu Chen and Yichun Zhou and Guojun Yin and Lu Sheng and Jing Shao}, doi = {10.57702/n1z04tlc}, institution = {No Organization}, keyword = {'Stable Diffusion', 'deep learning', 'face forgery', 'image synthesis'}, month = {dec}, publisher = {TIB}, title = {DEFAKE: A Large-Scale Dataset for Real-World Face Forgery Detection}, url = {https://service.tib.eu/ldmservice/dataset/defake--a-large-scale-dataset-for-real-world-face-forgery-detection}, year = {2024} }
