Research on Multimodal AIGC Video Detection for Identifying Fake Videos Generated by Large Models
To address the high-quality forged videos, traditional approaches typically have low recognition accuracy and tend to be easily misclassified. This paper tries to address the challenge of detecting high-quality deepfake video... | Find, read and cite all the research you need on Tech Science Press
Authors
- Daofu Gong (ORCID: https://orcid.org/0000-0002-7810-2950)
- Xu Zhao (ORCID: https://orcid.org/0009-0009-0974-4974)
- Di Li (ORCID: https://orcid.org/0000-0003-1674-0110)
- Tianning Sun
- Yong Liu (ORCID: https://orcid.org/0000-0001-9945-8131)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmc.2025.062330
- Primary Topic
- Digital Media Forensic Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00