106 citations · 165 across the 5 of their papers we have counts for
5 papers
Out-of-domain GAN inversion via Invertibility Decomposition for Photo-Realistic Human Face Manipulation
Xin Yang, Xiaogang Xu, Yingcong Chen
The fidelity of Generative Adversarial Networks (GAN) inversion is impeded by Out-Of-Domain (OOD) areas (e.g., background, accessories) in the image. Detecting the OOD areas beyond…
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Yuezun Li, Xin Yang, Pu Sun +2
AI-synthesized face-swapping videos, commonly known as DeepFakes, is an emerging problem threatening the trustworthiness of online information. The need to develop and evaluate Dee…
Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations
Yuezun Li, Xin Yang, Baoyuan Wu +1
Recent years have seen fast development in synthesizing realistic human faces using AI technologies. Such fake faces can be weaponized to cause negative personal and social impact.…
Exposing GAN-synthesized Faces Using Landmark Locations
Xin Yang, Yuezun Li, Honggang Qi +1
Generative adversary networks (GANs) have recently led to highly realistic image synthesis results. In this work, we describe a new method to expose GAN-synthesized images using th…
Exposing Deep Fakes Using Inconsistent Head Poses
Xin Yang, Yuezun Li, Siwei Lyu
In this paper, we propose a new method to expose AI-generated fake face images or videos (commonly known as the Deep Fakes). Our method is based on the observations that Deep Fakes…