DFGC 2021: A DeepFake Game Competition
DFGC 2021: A DeepFake Game Competition
复制标题
DOI：
10.1109/ijcb52358.2021.9484387
复制
发表时间：
2021-06
期刊：
影响因子：
--
通讯作者：
Bo Peng;Hongxing Fan;Wei Wang;Jing Dong;Yuezun Li;Siwei Lyu;Qi Li;Zhenan Sun;Han Chen;Baoying Chen;Yanjie Hu;Shenghai Luo;Junrui Huang;Yutong Yao;Boyuan Liu;H. Ling;Guosheng Zhang;Zhi-liang Xu;Changtao Miao;Changlei Lu;Shan He;Xiaoyu Wu;Wanyi Zhuang
中科院分区：
文献类型：
--
作者：
Bo Peng;Hongxing Fan;Wei Wang;Jing Dong;Yuezun Li;Siwei Lyu;Qi Li;Zhenan Sun;Han Chen;Baoying Chen;Yanjie Hu;Shenghai Luo;Junrui Huang;Yutong Yao;Boyuan Liu;H. Ling;Guosheng Zhang;Zhi-liang Xu;Changtao Miao;Changlei Lu;Shan He;Xiaoyu Wu;Wanyi Zhuang
DeepFake Game Competition（DFGC）20211 DeepFake技术发展迅速，现实的面部交换越来越具有欺骗性，难以检测。与此同时，DeepFake的检测方法也在不断改进。DeepFake的创建者和探测器之间存在一个双方博弈。这项比赛为当前最先进的DeepFake创建和检测方法之间的对抗游戏提供了一个共同的平台。在本文中，我们介绍了这次比赛的组织，结果和顶级解决方案，并分享了我们在这次活动中获得的见解。我们还发布了从参与者那里收集的DFGC-21测试数据集，以进一步使研究社区受益。
This paper presents a summary of the DeepFake Game Competition (DFGC) 20211. DeepFake technology is developing fast, and realistic face-swaps are increasingly deceiving and hard to detect. At the same time, DeepFake detection methods are also improving. There is a two-party game between DeepFake creators and detectors. This competition provides a common platform for benchmarking the adversarial game between current state-of-the-art DeepFake creation and detection methods. In this paper, we present the organization, results and top solutions of this competition and also share our insights obtained during this event. We also release the DFGC-21 testing dataset collected from our participants to further benefit the research community2.