19 citations · 25 across the 3 of their papers we have counts for
6 papers
DFGC 2021: A DeepFake Game Competition
Bo Peng, Hongxing Fan, Wei Wang +20
This paper presents a summary of the DFGC 2021 competition. DeepFake technology is developing fast, and realistic face-swaps are increasingly deceiving and hard to detect. At the s…
Robust Face-Swap Detection Based on 3D Facial Shape Information
Weinan Guan, Wei Wang, Jing Dong +2
Maliciously-manipulated images or videos - so-called deep fakes - especially face-swap images and videos have attracted more and more malicious attackers to discredit some key figu…
SOGAN: 3D-Aware Shadow and Occlusion Robust GAN for Makeup Transfer
Yueming Lyu, Jing Dong, Bo Peng +2
In recent years, virtual makeup applications have become more and more popular. However, it is still challenging to propose a robust makeup transfer method in the real-world enviro…
MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation
Tianxiang Ma, Bo Peng, Wei Wang +1
Pose-guided person image generation usually involves using paired source-target images to supervise the training, which significantly increases the data preparation effort and limi…
Scalable Fine-grained Generated Image Classification Based on Deep Metric Learning
Xinsheng Xuan, Bo Peng, Wei Wang +1
Recently, generated images could reach very high quality, even human eyes could not tell them apart from real images. Although there are already some methods for detecting generate…
On the generalization of GAN image forensics
Xinsheng Xuan, Bo Peng, Wei Wang +1
Recently the GAN generated face images are more and more realistic with high-quality, even hard for human eyes to detect. On the other hand, the forensics community keeps on develo…