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Inclusion 2024 Global Multimedia Deepfake Detection: Towards Multi-dimensional Facial Forgery Detection. arXiv preprint arXiv:2412.20833 (2024)."},{"key":"e_1_3_2_1_85_1","volume-title":"Genface: A large-scale fine-grained face forgery benchmark and cross appearance-edge learning","author":"Zhang Yaning","year":"2024","unstructured":"Yaning Zhang, Zitong Yu, Tianyi Wang, Xiaobin Huang, Linlin Shen, Zan Gao, and Jianfeng Ren. 2024b. Genface: A large-scale fine-grained face forgery benchmark and cross appearance-edge learning. IEEE Transactions on Information Forensics and Security (2024)."},{"key":"e_1_3_2_1_86_1","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3479211"},{"key":"e_1_3_2_1_87_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01475"},{"key":"e_1_3_2_1_88_1","unstructured":"Jinguo Zhu Weiyun Wang Zhe Chen Zhaoyang Liu Shenglong Ye Lixin Gu Hao Tian Yuchen Duan Weijie Su Jie Shao Zhangwei Gao Erfei Cui Xuehui Wang Yue Cao Yangzhou Liu Xingguang Wei Hongjie Zhang Haomin Wang Weiye Xu Hao Li Jiahao Wang Nianchen Deng Songze Li Yinan He Tan Jiang Jiapeng Luo Yi Wang Conghui He Botian Shi Xingcheng Zhang Wenqi Shao Junjun He Yingtong Xiong Wenwen Qu Peng Sun Penglong Jiao Han Lv Lijun Wu Kaipeng Zhang Huipeng Deng Jiaye Ge Kai Chen Limin Wang Min Dou Lewei Lu Xizhou Zhu Tong Lu Dahua Lin Yu Qiao Jifeng Dai and Wenhai Wang. 2025. InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models. arXiv:2504.10479 [cs.CV] https:\/\/arxiv.org\/abs\/2504.10479"},{"key":"e_1_3_2_1_89_1","first-page":"77771","article-title":"Genimage: A million-scale benchmark for detecting ai-generated image","volume":"36","author":"Zhu Mingjian","year":"2023","unstructured":"Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, and Yunhe Wang. 2023a. Genimage: A million-scale benchmark for detecting ai-generated image. Advances in Neural Information Processing Systems, Vol. 36 (2023), 77771-77782.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_90_1","volume-title":"StyleGAN3: generative networks for improving the equivariance of translation and rotation. arXiv preprint arXiv:2307.03898","author":"Zhu Tianlei","year":"2023","unstructured":"Tianlei Zhu, Junqi Chen, Renzhe Zhu, and Gaurav Gupta. 2023b. StyleGAN3: generative networks for improving the equivariance of translation and rotation. arXiv preprint arXiv:2307.03898 (2023)."},{"key":"e_1_3_2_1_91_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00480"},{"key":"e_1_3_2_1_92_1","first-page":"391","volume-title":"Tel Aviv","author":"Zhuang Wanyi","year":"2022","unstructured":"Wanyi Zhuang, Qi Chu, Zhentao Tan, Qiankun Liu, Haojie Yuan, Changtao Miao, Zixiang Luo, and Nenghai Yu. 2022a. UIA-ViT: Unsupervised inconsistency-aware method based on vision transformer for face forgery detection. In Computer Vision-ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part V. 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