Objave

@inproceedings{Deepfake_comp2023,

title = {DFGC-VRA: DeepFake Game Competition on Visual Realism Assessment},

author = {Bo Peng and Xianyun Sun and Caiyong Wang and Wei Wang and Jing Dong and Zhenan Sun and Rongyu Zhang and Heng Cong and Lingzhi Fu and Hao Wang and Yusheng Zhang and HanYuan Zhang and Xin Zhang and Boyuan Liu and Hefei Ling and Luka Dragar and Borut Batagelj and Peter Peer and Vitomir Struc and Xinghui Zhou and Kunlin Liu and Weitao Feng and Weiming Zhang and Haitao Wang and Wenxiu Diao},

url = {https://lmi.fe.uni-lj.si/wp-content/uploads/2023/09/CameraReady-225.pdf},

year  = {2023},

date = {2023-09-01},

booktitle = {IEEE International Joint Conference on Biometrics (IJCB 2023)},

pages = {1-9},

address = {Ljubljana, Slovenia},

abstract = {This paper presents the summary report on the DeepFake

Game Competition on Visual Realism Assessment (DFGCVRA).

Deep-learning based face-swap videos, also known

as deepfakes, are becoming more and more realistic and

deceiving. The malicious usage of these face-swap videos

has caused wide concerns. There is a ongoing deepfake

game between its creators and detectors, with the human in

the loop. The research community has been focusing on

the automatic detection of these fake videos, but the assessment

of their visual realism, as perceived by human

eyes, is still an unexplored dimension. Visual realism assessment,

or VRA, is essential for assessing the potential

impact that may be brought by a specific face-swap video,

and it is also useful as a quality metric to compare different

face-swap methods. This is the third edition of DFGC

competitions, which focuses on the new visual realism assessment

topic, different from previous ones that compete

creators versus detectors. With this competition, we conduct

a comprehensive study of the SOTA performance on

the new task. We also release our MindSpore codes to fur-

*Jing Dong (jdong@nlpr.ia.ac.cn) is the corresponding author.

ther facilitate research in this field (https://github.

com/bomb2peng/DFGC-VRA-benckmark).},

keywords = {competition IJCB, deepfake detection, deepfakes, face, realism assessment},

pubstate = {published},

tppubtype = {inproceedings}

}