CVPR2021
ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
Yinan He, Bei Gan, Siyu Chen, Yichun Zhou, Guojun Yin, Luchuan Song, Lu Sheng, Jing Shao, Ziwei Liu
Abstract
DeeperForensics-1.0 DFDC ForgeryNet 10 ! 10 " 10 # 10 $ 10 % 10 & 10 ' 10 ( 10 ! 10 " Figure 1: ForgeryNet is a new mega-scale face forgery dataset with comprehensive annotations and four forgery analysis tasks. It contains thousands of subjects, various manipulation methods and diverse re-rendering processes. In (a), can you distinguish which images are forged?