DFGC 2021: A deepfake game competition | |
Peng, Bo; Fan, Hongxing; Wang, Wei; Dong, Jing; Li, Yuezun; Lyu, Siwei; Li, Qi; Sun, Zhenan | |
2021 | |
会议日期 | 2021 |
会议地点 | China |
英文摘要 | This paper presents a summary of the DeepFake Game Competition (DFGC) 2021 1 . 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 community. |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/55259] |
专题 | 自动化研究所_智能感知与计算研究中心 |
作者单位 | Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Peng, Bo,Fan, Hongxing,Wang, Wei,et al. DFGC 2021: A deepfake game competition[C]. 见:. China. 2021. |
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