{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/dfgc-vra-deepfake-game-competition-on-visual","title":"DFGC-VRA: DeepFake Game Competition on Visual Realism Assessment","arxiv_id":null,"date":"2023-09-01","proceeding":"journal 2023 9","authors":["Bo Peng","Xianyun Sun","Caiyong Wang","Wei Wang1","Jing Dong","Zhenan Sun"],"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\r\ndeceiving. The malicious usage of these face-swap videos has caused wide concerns. There is a ongoing deepfake\r\ngame between its creators and detectors, with the human in the loop. The research community has been focusing on\r\nthe automatic detection of these fake videos, but the assessment of their visual realism, as perceived by human\r\neyes, is still an unexplored dimension. Visual realism assessment, or VRA, is essential for assessing the potential\r\nimpact 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 further facilitate research in this field.","url_abs":"https://lmi.fe.uni-lj.si/wp-content/uploads/2023/09/CameraReady-225.pdf","url_pdf":"https://lmi.fe.uni-lj.si/wp-content/uploads/2023/09/CameraReady-225.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"dfgc-vra-deepfake-game-competition-on-visual","repo_url":"https://github.com/2024-MindSpore-1/Code10/tree/main/dfgc2023","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null}],"tasks":[{"task_slug":"face-swapping","task_name":"Face Swapping"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}